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Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? You will be part of the core worldwide GenAI Models team, responsible for helping our customers build and deploy Generative AI (GenAI) models to power end applications and use cases across industry verticals. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. You will be working directly with GenAI model providers, Inference service providers, and ISVs, around model performance evaluations and optimization on AWS infrustructure, developing demos and proof-of-concepts of GenAI end applications and use cases with large models. 
 
Key job responsibilities 
You will help develop the industry&rsquo;s best cloud-based solutions to grow the GenAI business. Working closely with our product and field teams and partners like ISVs and 3rd party model providers, you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS. This involves activities like market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts (POC), creating content to train the field teams, and driving thought-leadership. 
 
As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in GenAI and key ML use cases. You have the technical depth to articulate the benefits of our GenAI-related services and solutions to data scientists, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, partners development, and professional services) and externally with customers and AWS partners. 
 
You will drive the development of the GTM plan for building and scaling GenAI on AWS, interact with customers directly to understand their business problems, and work with GenAI model providers, and our solutions architects to help them define and implement scalable GenAI solutions to solve them. You will also work closely with account teams and product teams to drive model implementations and develop new solutions. 
 
You will need to be adept at interacting, communicating and partnering with other teams within AWS such as services teams, field solutions architecture, sales, marketing, as well as representing your team to executive management. You should be passionate about helping companies/partners understand best practices for operating on AWS. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation. 
 
About the team 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
Inclusive Team Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of Go-To-Market, Business Development, Sales, or Consulting experience</li><li>3+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience</li><li>3+ years of working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT. experience</li><li>Experience developing strategies that influence leadership decisions at the organizational level</li><li>Experience managing programs across cross functional teams, building processes and coordinating release schedules</li><li>Experience explaining complex technical concepts to various business and technical audiences</li><li>Experience presenting to both technical and non-technical executive audiences</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience interpreting data and making business recommendations across leadership and cross-functional teams</li><li>Experience identifying, negotiating, and executing complex legal agreements</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually 
USA, NY, New York - 162,700.00 - 220,200.00 USD annually 
USA, TX, AUSTIN - 147,900.00 - 200,100.00 USD annually 
USA, VA, Herndon - 147,900.00 - 200,100.00 USD annually 
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually</div>

Sr. Worldwide Specialist – GenAI/ML, Accelerate Compute, Data & AI GTM

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Annapurna Labs team at Amazon builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon&rsquo;s custom machine learning accelerators, Inferentia and Trainium. 
 
The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. 
 
The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. 
 
As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology 
 
You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. 
 
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. 
 
You can learn more about Neuron 
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html 
https://aws.amazon.com/machine-learning/neuron/ 
https://github.com/aws/aws-neuron-sdk 
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success 
 
Key job responsibilities 
This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: 
 
<ul><li>Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators.</li><li>Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment.</li><li>Build infrastructure to systematically analyze and onboard multiple models with diverse architecture.</li><li>Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models</li><li>Analyze and optimize system-level performance across multiple generations of Neuron hardware</li><li>Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks</li><li>Implement optimizations such as fusion, sharding, tiling, and scheduling</li><li>Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines.</li><li>Work directly with customers to enable and optimize their ML models on AWS accelerators</li><li>Collaborate across teams to develop innovative optimization techniques</li></ul> 
A day in the life 
You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. 
 
You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you&rsquo;re always working on the most important initiative. 
 
About the team 
The Inference Enablement and Acceleration team fosters a builder&rsquo;s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>Bachelor's degree in computer science or equivalent</li><li>3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li><li>Software development experience in C++, Python (experience in at least one language is required).</li><li>Strong understanding of system performance, memory management, and parallel computing principles.</li><li>Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Familiarity with PyTorch, JIT compilation, and AOT tracing.</li><li>Familiarity with CUDA kernels or equivalent ML or low-level kernels.</li><li>Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited.</li><li>Familiar with syntax and tile-level semantics similar to Triton.</li><li>Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.</li><li>Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Engineer II - AI/ML, AWS Neuron

Truveta

<div>Senior Machine Learning Engineer

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid
<h4 class="jobSectionHeader">
Who We Need</h4>
<div>Join Truveta's Intelligence Platform and Applications team to engineer the next wave of healthcare AI &mdash; developing adaptive agentic systems and fine-tuned foundation models that continuously learn, reason, and accelerate real-world impact. Guided by Truveta's mission of Saving Lives with Data, you'll help transform how health data becomes intelligence, powering breakthroughs that enable clinicians and researchers to make data-driven, proactive, and impactful decisions.</div>
<div></div>
<div>We are seeking Senior Machine Learning Engineers who thrive at the intersection of machine learning, applied AI, and large-scale engineering. You'll blend ML craftsmanship with platform engineering excellence to create scalable, self-improving AI agents and models that learn from vast, diverse healthcare data and deliver meaningful insights through automation and reasoning. You'll help shape the AI capabilities that make healthcare more intelligent, efficient, and equitable &mdash; driving real-world impact across research, care delivery, and patient outcomes.</div>
<div></div>
<div>This Opportunity</div>
<div></div>
<div><div>Patients, doctors, and medical researchers deserve to benefit from the same large-scale technological innovations and artifical intelligence that have transformed productivity, creativity, and communication. As part of the Intelligence &amp; Application Platform team, you'll use your expertise in applied AI, model optimization, and agentic intelligence to create systems that think, adapt, and improve R&amp;D, business strategy, operations and care delivery across the healthcare ecosystem.</div>
<div></div>
<div>If you're seeking a sense of purpose and are motivated to advance how AI supports learning, decision-making, and discovery in healthcare, you'll find this an inspiring place to grow. You'll work in an ambitious, fast-paced and collaborative environment where every contribution helps make healthcare more connected, intelligent, and impactful.</div>
</div><h4 class="jobSectionHeader">We Are Seeking Senior ML Engineers Who:</h4>
<ul><li>Design and reason with agentic AI frameworks &mdash; experienced in building multi-agent workflows using frameworks such as LangGraph, AutoGen, or CrewAI, integrating reasoning, planning, and memory to create intelligent, goal-driven systems.</li>
<li>Bring a deep understanding of LLM fundamentals &mdash; knowledgeable in transformer architectures, attention mechanisms, and tokenization principles. You understand how embeddings, context windows, and model scaling laws influence quality, cost, and performance.</li>
<li>Work fluently with embeddings and vector stores &mdash; experienced in building or integrating retrieval-augmented generation (RAG) pipelines, managing vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search, or similar), and leveraging semantic search or context injection to enhance reasoning.</li>
<li>Excel at model fine-tuning &mdash; with hands-on expertise fine-tuning large language models (LLMs) or multimodal models using supervised, reinforcement, or instruction-tuning techniques (e.g., LoRA, PEFT, TRL). Skilled at optimizing model efficiency, interpretability, and inference performance.</li>
<li>Think and build like engineers &mdash; grounded in strong software design principles, modular architecture, and code quality. You can translate experimental ideas into robust, maintainable systems that integrate seamlessly within large-scale AI platforms.</li>
<li>Collaborate across boundaries &mdash; partnering with platform, application, and product engineers to transform concepts into scalable, reliable AI solutions. You communicate clearly, share knowledge openly, and thrive in cross-functional teams.</li>
<li>Demonstrate senior-level ownership &mdash; capable of setting technical direction, mentoring peers, and making pragmatic design trade-offs that balance innovation, performance, and reliability.</li>
<li>Understand evaluation deeply &mdash; fluent in ML validation and measurement (Precision, Recall, Specificity, NPV, etc.), and experienced designing reward functions, evaluators, or grader models for reinforcement fine-tuning and continuous improvement.</li>
<li>Adapt and learn continuously &mdash; staying ahead of evolving AI architectures, agentic frameworks, and emerging paradigms in reasoning and retrieval. You have curiosity, humility, and a bias for iteration.</li>
<li>Act with purpose &mdash; applying thoughtful engineering and ethical AI principles to create systems that advance healthcare intelligence responsibly and at scale.</li>
</ul><h4 class="jobSectionHeader">Key Qualifications</h4>
<ul><li>5+ years of experience building and deploying scalable, production-ready ML systems in a collaborative engineering environment.</li>
<li>Proficiency with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) and understanding of interoperability protocols such as MCP and A2A.</li>
<li>Hands-on experience fine-tuning and optimizing large language models (LLMs) or multimodal models, using techniques such as LoRA, PEFT, and TRL.</li>
<li>Experience working with vector databases and embeddings, integrating FAISS, Pinecone, Chroma, or Azure AI Search into retrieval-augmented generation (RAG) or semantic-search pipelines.</li>
<li>Strong software engineering fundamentals, with proficiency in Python and experience designing scalable systems in modern cloud environments (Azure, AWS, or GCP).</li>
<li>B.S. or M.S. in Computer Science, Artificial Intelligence, or a related technical field.</li>
</ul>
 Why Truveta?

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together.

We Offer:
<ul>
<li>Interesting and meaningful work for every career stage</li>
<li>Great benefits package</li>
<li>Comprehensive benefits with strong medical, dental and vision insurance plans</li>
<li>401K plan</li>
<li>Professional development &amp; training opportunities for continuous learning</li>
<li>Work/life autonomy via flexible work hours and flexible paid time off</li>
<li>Generous parental leave</li>
<li>Regular team activities (virtual and in-person)</li>
<li>The base pay for this position is $175,000 to $200,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.</li>
</ul>
If you are based in California, we encourage you to read this important information for California residents linked here.

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.</div>

Senior Machine Learning (ML) Engineer

ByteDance

Location
 :
 
Seattle
 
Team
 :
 
Technology
 
Employment Type
 :
 
Intern
 
Job Code
 :
 
A58263
 
Responsibilities
 
About the Team
 The ByteDance DPU (Data Processing Unit) team builds foundational cloud and AI computing infrastructure for ByteDance and Volcano Engine. Our mission is to advance the architecture, development, and research of next-generation software-hardware co-design technologies across compute, networking, and storage for cloud and AI computing. Our technology stack spans
 
<ul>
<li>Cloud virtualization, hypervisors, and operating systems</li>
<li>High-performance networking, including DPDK and RDMA</li>
<li>High-speed interconnects, virtual switching, and network offload</li>
<li>Distributed storage and I/O acceleration</li>
<li>Orchestration and scheduling for AI/ML workloads</li>
</ul>
We work at the intersection of systems research, distributed infrastructure, and hardware acceleration. Our technologies operate at cloud scale and help shape the next generation of cloud and AI computing platforms.
 
We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
 Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
 Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).
 
Responsibilities
 <ul>
<li>Design and build large-scale, container-based cluster management and orchestration systems with extreme performance, scalability, and resilience.</li>
<li>Architect next-generation cloud-native GPU and AI accelerator infrastructure to deliver cost-efficient and secure ML platforms.</li>
<li>Collaborate across teams to deliver world-class inference solutions using vLLM, SGLang, TensorRT-LLM, and other LLM engines.</li>
<li>Stay current with the latest advances in open source (Kubernetes, Ray, etc.), AI/ML and LLM infrastructure, and systems research; integrate best practices into production systems.</li>
<li>Write high-quality, production-ready code that is maintainable, testable, and scalable.</li>
</ul>
Qualifications
 
Minimum Qualifications
 <ul>
<li>Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.</li>
<li>Able to commit to working for 12 weeks during Summer 2027</li>
<li>Strong understanding of large model inference, distributed and parallel systems, and/or high-performance networking systems.</li>
<li>Hands-on experience building cloud or ML infrastructure in areas such as resource management, scheduling, request routing, monitoring, or orchestration.</li>
<li>Solid knowledge of container and orchestration technologies (Docker, Kubernetes).</li>
<li>Proficiency in at least one major programming language (Go, Rust, Python, or C++).</li>
</ul>
Preferred Qualifications
 <ul>
<li>Experience contributing to or operating large-scale cluster management systems (e.g., Kubernetes, Ray).</li>
<li>Experience with workload scheduling, GPU orchestration, scaling, and isolation in production environments.</li>
<li>Hands-on experience with GPU programming (CUDA) or inference engines (vLLM, SGLang, TensorRT-LLM).</li>
<li>Familiarity with public cloud providers (AWS, Azure, GCP) and their ML platforms (SageMaker, Azure ML, Vertex AI).</li>
<li>Strong knowledge of ML systems (Ray, DeepSpeed, PyTorch) and distributed training/inference platforms.</li>
<li>Excellent communication skills and ability to collaborate across global, cross-functional teams.</li>
<li>Passion for system efficiency, performance optimization, and open-source innovation.</li>
</ul>
Job Information
 
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
 
The hourly rate range for this position in the selected city is $57- $57.
 
​
 
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
 
​
 
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
 
​
 
For Los Angeles County (unincorporated) Candidates: 
​
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
 
​
 
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
 
​
 
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
 
​
 
3. Exercising sound judgment.
 
​
 
About Us
 
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
 
​
 
Why Join ByteDance
 
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
 
​
 
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
​
 
Diversity & Inclusion
 
​
 
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 
​
 
Reasonable Accommodation
 
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
 
https://tinyurl.com/RA-request

Research Intern (AI Compute) - 2027 Start (PhD)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Elemental Inference is an AI-powered video understanding service that analyzes live and file-based video in real time, producing structured metadata that drives monetization, content transformation, and audience engagement at scale. The service delivers capabilities including intelligent video reframing, real-time highlight detection, automated subtitling, and contextual metadata for advertising workflows. Our customers today include the world's largest broadcasters, streaming platforms, and sports leagues. The core technology, real-time visual understanding at scale, is applicable to any domain where video carries signal that needs to be extracted and acted on. 
 
We are looking for a Principal Product Manager to own the product strategy, roadmap, and commercial success of Elemental Inference. This is a single-threaded owner role. You will define what we build, why we build it, and how we bring it to market. You will work directly with applied scientists training video foundation models, engineers operating a real-time inference service, and customers running production workloads on it. 
 
This role requires someone who can operate at the intersection of AI/ML product development and commercial execution. You will own the P&amp;L, define pricing and packaging strategy, and drive adoption across a portfolio that spans AI inference, video monetization, and content intelligence. You will make trade-off decisions between expanding into new capabilities and verticals versus deepening quality and reducing cost on what exists today. You will represent Elemental Inference to AWS leadership, cross-org partners, and directly to customers. 
 
Key job responsibilities 
<ul><li>Own the product strategy, roadmap, and P&amp;L for Elemental Inference. Set pricing, define packaging, monitor revenue, and adjust GTM approach based on adoption data and customer feedback.</li><li>Prioritize features based on customer requirements, revenue impact, competitive dynamics, and technical feasibility. Make explicit scope decisions between breadth (new capabilities, new verticals) and depth (quality, latency, cost).</li><li>Partner with the applied science team on model roadmap decisions. Translate customer needs into science requirements and define the bar for production readiness.</li><li>Drive cross-service integration with adjacent Elemental services (monetization, live encoding, VOD processing) to deliver end-to-end intelligent media workflows.</li><li>Lead cross-org initiatives that span multiple AWS organizations, building alignment on joint product development where shared customer problems require coordinated solutions.</li><li>Engage directly with strategic enterprise customers to validate product direction, close design partnerships, and drive adoption of launched features.</li><li>Define and manage the partner ecosystem strategy for data dependencies (sports data providers, content licensing) that enable product capabilities.</li><li>Identify and evaluate expansion opportunities where the core technology creates value in adjacent domains beyond the service's initial market.</li><li>Represent Elemental Inference at industry events and with AWS leadership. Communicate product vision, competitive positioning, and business performance with clarity.</li></ul> 
About the team 
AWS Elemental provides the most comprehensive portfolio of media services in the cloud, purpose-built to prepare, process, deliver, and monetize video at global scale. We support technology that delivers outstanding viewing experiences to millions of viewers worldwide, from the largest live sporting events to 24/7 linear channels and on-demand libraries. Our customers include the world's leading broadcasters, streaming platforms, and sports leagues.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>7+ years of working as a Technical Product Manager experience</li><li>5+ years of technical (software development, network development, IT, other related) experience</li><li>Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in the media, video, streaming, or advertising technology industry</li><li>Experience with real-time inference systems or video processing at scale</li><li>Experience working directly with applied science or machine learning teams on model development decisions</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 208,300.00 - 281,800.00 USD annually 
USA, OR, Portland - 181,100.00 - 245,000.00 USD annually 
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually</div>

Principal Product Manager - AI & Cloud Media Services, AWS Elemental Media Services, Elemental Media Services

KPFF Consulting Engineers

<div>Company Description 
At KPFF Consulting Engineers, we are more than an engineering design firm. For over 65 years, we have delivered innovative, sustainable solutions that shape communities and solve complex infrastructure challenges. Today, more than 1,500 professionals across 36 offices nationwide contribute to our success through a culture built on collaboration, growth, and shared ownership.
As artificial intelligence becomes part of how the firm works, KPFF is investing in adopting it responsibly, securely, and in a way that reflects our values. Thoughtful governance, clear guardrails, and practical enablement allow our people to use AI with confidence while protecting our clients, our data, and our reputation.
 We are seeking an AI Program Manager to help build, coordinate, and drive KPFF&rsquo;s firmwide AI program. This role will bring structure and momentum to AI efforts already happening across the firm, connect people and initiatives across our decentralized organization, and turn strategy and governance direction into practical programs, processes, training, and adoption. 
Job Description 
KPFF seeks an organized, pragmatic, and collaborative AI Program Manager to coordinate and mature the firm's AI program. Working closely with the Director of Technology, Shared Services leaders, Risk Management, IT and Security, Data, HR, Marketing, Operations, and Reporting Center leaders, this role helps employees use approved AI capabilities safely, consistently, and effectively.
Because KPFF is a decentralized organization, success in this role will depend on building relationships and influencing across teams rather than relying on formal authority. You&rsquo;ll work across offices to connect existing efforts, build alignment, and help move shared AI priorities forward.
In this role, you will serve as a practical front door for AI questions, tool requests, use-case ideas, pilot proposals, and enablement needs. You will coordinate governance meetings, maintain program records, support responsible-AI practices, help teams frame and track pilots, deliver training and office hours, and prepare leadership-ready reporting on adoption, risks, decisions, outcomes, and opportunities.
This is a program leadership and change management role focused on helping KPFF put AI into practice across the firm. You do not need to be an AI developer or technical expert. We&rsquo;re looking for someone who can bring structure to evolving initiatives, connect people and ideas, and help teams adopt new tools and ways of working.
Reporting Relationship
This role reports to the Director of Technology. The AI Program Manager works through established governance and leadership channels and escalates policy, risk, budget, security, legal, vendor, or strategic decisions to the appropriate functional owner or governance body.
What You'll Do
Governance and Program Operations<ul><li>
Coordinate AI Governance Committee agendas, review materials, decisions, action items, ownership, follow-up, and escalation tracking.</li><li>
Maintain the firm-wide AI inventory, use-case register, decision log, exception log, AI-use records, and related program documentation needed for a defensible audit trail.</li><li>
Operate the AI intake process as a practical front door for AI questions, tool requests, access requests, proposed use cases, pilots, and enablement needs.</li><li>
Track AI program budget inputs, licensing utilization, spend requests, and business-case information for leadership review, while routing approval decisions to the appropriate owner.</li></ul>
AI Portfolio and Roadmap Coordination<ul><li>
Maintain visibility into AI initiatives, pilots, production solutions, tools, agents, automations, and supporting roadmaps across Reporting Centers and Shared Services.</li><li>
Support prioritization discussions by helping evaluate business value, risk posture, feasibility, resource needs, timing, dependencies, and readiness.</li><li>
Coordinate status reporting on initiative owners, milestones, dependencies, decisions, risks, lessons learned, and recommended next steps.</li><li>
Prepare recommendations for leadership or governance review regarding which initiatives should continue, change, expand, pause, or retire.</li></ul>
Change Management and Communications<ul><li>
Communicate the why of AI, including benefits, limitations, guardrails, and the role of responsible adoption across the firm.</li><li>
Support internal communications such as wins, FAQs, updates, user feedback, lessons learned, and approved-tool reminders.</li><li>
Help manage adoption sentiment, address resistance, and support the culture shift required for new ways of working.</li><li>
Strengthen the network of relationships and communities needed to sustain AI adoption over time.</li></ul>
Policy, Risk, and Responsible AI Support<ul><li>
Support implementation and communication of AI policy, the Six Prescriptions, operating guidance, data-handling expectations, and responsible-use practices.</li><li>
Help employees understand approved-tool expectations, data classification requirements, human oversight, disclosure expectations, output accountability, and responsible use of AI-assisted work.</li><li>
Coordinate reviews for higher-risk use cases, including HR, recruiting, public-facing content, sensitive data, business-system actions, autonomous or semi-autonomous agents, and AI-enabled workflows.</li><li>
Monitor relevant AI governance and responsible-use developments and help keep guidance, training, and review materials current in partnership with the appropriate functional owners.</li></ul>
AI Solution Lifecycle and Pilot Coordination<ul><li>
Help teams frame AI opportunities, define the business problem, document expected outcomes, identify success measures, and prepare use cases for review.</li><li>
Coordinate evaluation of proposed tools, prompts, agents, automations, integrations, and AI-enabled workflows with IT, Security, Risk Management, Data, and business stakeholders.</li><li>
Track approved pilots, owners, timelines, outcomes, risks, lessons learned, and readiness for broader consideration.</li><li>
Support lifecycle practices for review, testing, implementation readiness, monitoring, maintenance, documentation, and retirement of AI-enabled solutions.</li></ul>
Intake, Enablement, Training, and Adoption<ul><li>
Provide office hours, practical guidance, quick-reference materials, training coordination, and role-based enablement for onboarding and ongoing refresh.</li><li>
Build trusted relationships with Reporting Center leaders, AI champions, Shared Services teams, and business stakeholders.</li><li>
Promote approved AI tools and responsible-use expectations in a way that encourages voluntary adoption and makes governance feel helpful rather than punitive.</li><li>
Capture user feedback, adoption barriers, common questions, and emerging needs, then translate them into improved guidance, communications, and reusable resources.</li></ul>
Tools, Platforms, and Vendor Review Coordination<ul><li>
Maintain approved-tool and vendor inventory information, platform documentation, review status, and related governance records.</li><li>
Coordinate AI tool, vendor, platform, and buy-versus-build reviews using structured criteria for security, compliance, data protection, business value, cost, maintainability, capability, and stakeholder readiness.</li><li>
Document evaluation outcomes, open questions, risks, dependencies, and recommendations for review by the appropriate decision makers.</li><li>
Track emerging AI tools, market capabilities, and practical opportunities, then summarize relevant findings for governance and leadership review.</li></ul>
Data, Knowledge, Records, Prompts, and Agents<ul><li>
Partner with IT, Data, and business stakeholders to identify content that may be appropriate for AI-assisted search, reuse, summarization, or knowledge enablement.</li><li>
Support consistent storage, discoverability, retention coordination, and ownership tracking for AI-generated artifacts, prompts, agents, decisions, and related records.</li><li>
Partner with technical and business teams to help organize and maintain approved AI resources, including prompts, agents, guidance, and related documentation. Identify gaps, duplication, and opportunities to improve reusable AI resources across the firm.</li></ul>
Metrics, Value, and Leadership Reporting<ul><li>
Maintain program dashboards, adoption summaries, pilot status updates, training activity, utilization indicators, risk themes, and leadership-ready progress reports.</li><li>
Track pilot outcomes, productivity indicators, cost impacts, participation, quality improvements, and realized benefits where measurable.</li><li>
Identify duplication, common needs, adoption barriers, and opportunities to improve guidance, tools, training, or reusable resources.</li><li>
Prepare decision-support materials for leadership regarding AI opportunities, risks, adoption trends, investments, readiness, and recommended next steps. Final decisions remain with the appropriate leadership or governance owner.</li></ul> 

Qualifications 
Who We're Looking For<ul><li>
5+ years in program or project management, technology operations, governance, risk and compliance, business process improvement, change enablement, or a related field, ideally with exposure to AI, data, or emerging technology.</li><li>
Experience standing up or operating cross-functional programs, committees, intake processes, governance workflows, or enterprise adoption programs.</li><li>
Strong stakeholder management skills, with the ability to build trust and influence across technical and non-technical audiences, multiple offices, and decentralized teams.</li><li>
A track record of translating policy, strategy, or ambiguous requirements into practical tools, processes, guidance, training, and reporting.</li><li>
Working knowledge of AI governance, responsible-AI practices, data classification, human oversight, Microsoft 365 Copilot, AI-enabled workflows, or enterprise technology evaluation.</li><li>
Excellent written and verbal communication skills, including experience developing or delivering training and creating practical resources, guidance, and leadership communications. Sound judgment balancing enablement with security, privacy, compliance, data protection, and business value considerations.</li><li>
Highly organized and self-directed, with the ability to manage multiple workstreams, dependencies, stakeholders, and priorities with appropriate oversight.</li><li>
Interest in change management, adoption enablement, and helping people use new tools safely and effectively.</li><li>
Bachelor's degree or an equivalent combination of education and experience.</li></ul>
Measures of Success<ul><li>
Stakeholders view the AI program as helpful, practical, and enabling rather than as a gatekeeping function.</li><li>
AI initiatives, pilots, tools, vendors, agents, and decisions are visible, documented, and easier to coordinate across the firm.</li><li>
Employees have clear guidance, training pathways, approved resources, and a practical front door for AI-related questions.</li><li>
Pilot outcomes, adoption activity, risks, and value indicators are tracked consistently enough to support leadership decisions.</li><li>
Higher-risk AI use cases are escalated to the appropriate owners before broader implementation.</li><li>
Reusable prompts, agents, guidance, records, and lessons learned become easier to find, maintain, and improve.</li></ul> 

Additional Information 
Physical and Work Environment<ul><li>
This role may be performed remotely or from a KPFF office and is primarily desk-based knowledge work.</li><li>
This role requires the ability to use a computer and standard office equipment for extended periods of time.</li><li>
You may occasionally travel to KPFF offices, governance meetings, training sessions, or firm events.</li><li>
You must be comfortable working in a fast-paced, evolving environment while managing multiple priorities and responding to changing needs.</li></ul>
Why KPFF
KPFF is a collaborative, people-centered organization that values connection, curiosity, and long-term growth. In this role, you will help shape how the firm adopts one of the most significant technology shifts of our time responsibly, practically, and in a way that empowers our people.
If you enjoy building order out of ambiguity, supporting people, and turning strategy into everyday practice, we would love to hear from you.
Benefits and Compensation
We believe that supporting our people goes beyond the work itself. That is why we offer a flexible, comprehensive benefits package designed to help you thrive both personally and professionally.
Benefits include:<ul><li>
401(k) retirement savings plan with employer contribution</li><li>
Medical insurance</li><li>
Dental insurance</li><li>
Vision insurance</li><li>
Health Savings Account (HSA) with employer contribution</li><li>
Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li><li>
Life insurance</li><li>
KPFF Paid Family Leave</li><li>
Short-term and long-term disability insurance</li><li>
Paid holidays, including two floating holidays</li><li>
Paid time off, including vacation, sick leave, and jury duty</li></ul>
Compensation and Recognition
The expected salary range for a qualified candidate is $160,000 - $215,000. Additionally, KPFF offers performance-based bonuses to recognize and reward outstanding contributions in each Reporting Center. During the interview process, we will address any questions about the overall compensation package and benefits.
Work Authorization
This position is not eligible for visa sponsorship. Candidates must be authorized to work in the United States without sponsorship now or in the future.
#LI-AG1 
KPFF Consulting Engineers participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
KPFF Consulting Engineers is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, creed, ethnicity, national origin, religion, marital status, sex/gender (including sexual orientation or gender identity), pregnancy, veteran status, citizenship status, physical or mental disability, or any other protected basis.</div>

AI Program Manager

Expedia Group

<div>At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. 
 
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the Expedia Group Product Team
 
The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our customer-first mindset focuses on developing products that encourage loyalty and repeat business from our travelers and partners. We partner closely with teams across Expedia Group to achieve growth and results for our customers and company.
We connect Travelers to new experiences, through trusted relationships. We use the power of Expedia Group brands to empower strategic partners to nurture and grow the existing relationship with their audience. Strategic Partnerships and Affiliates breadth of solutions which include cashback, travel offers, loyalty exchange, co-branded sites, Affiliate APIs and EG&rsquo;s Affiliate Program, bring a partners&rsquo; audience onto EG sites, thereby increasing EG&rsquo;s traffic and exposure.
Introduction to the Layla AI Team
Layla is an AI-native travel-planning and booking company, now part of Expedia Group&rsquo;s Product organization. Through a conversational travel assistant, Layla helps travelers move from inspiration to a complete, bookable itinerary &mdash; flights, hotels, activities, and the day-by-day detail &mdash; in minutes. As part of Expedia Group, the team combines Layla&rsquo;s planning and personalization capabilities with Expedia Group&rsquo;s global supply, first-party traveler insights, marketplace scale, and booking technology.
The team is small and senior by design and operates with startup pace: you own a surface, ship it, and see the impact on real travelers within weeks &mdash; with decisions driven by data and AI tooling used in practice every day.
As a Senior Mobile Engineer working in Flutter, you will help build Layla&rsquo;s mobile trip-planning and booking experiences across iOS and Android.
In this role, you will:
<ul><li>Design, build, and maintain Layla&rsquo;s cross-platform mobile experience in Flutter (Dart), delivering a single, high-quality codebase that performs reliably across iOS and Android.
</li><li>Own end-to-end feature delivery for mobile &mdash; including low-level design, API integration, and data modeling &mdash; for conversational trip-planning and booking features that connect to Layla and Expedia Group services.
</li><li>Collaborate closely with Product, Design, and backend engineering to turn the conversational travel experience into intuitive, accessible, and performant mobile flows, iterating quickly based on experimentation and real traveler feedback.
</li><li>Drive mobile quality and reliability through automated testing, continuous integration and delivery, performance monitoring, and observability across both platforms.
</li><li>Safely integrate and operate AI/ML-enabled capabilities within the app &mdash; such as assistant-driven planning, personalization, and recommendations &mdash; applying AI/ML concepts to real-world mobile features responsibly.
</li><li>Contribute to native interoperability where platform-specific capabilities are required, and help establish reusable patterns and engineering best practices for Flutter development at Layla.
</li></ul>Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in Computer Science or a related technical field; or equivalent related professional experience.
</li><li>8+ years of relevant professional experience.
</li><li>Professional experience building and shipping production mobile applications with Flutter and Dart, including ownership of features from design through release and support.
</li><li>Experience delivering to both iOS and Android from a shared codebase, including API integration, data modeling, and network/offline data handling.
</li><li>Demonstrated ability to design and maintain testable, maintainable, and performant mobile codebases using modern frameworks, tooling, and libraries.
</li><li>Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products, with a focus on safely integrating these capabilities into mobile features.
</li></ul>Preferred Qualifications:
<ul><li>Advanced proficiency with Flutter/Dart, mobile UI/UX best practices, state management, and performance optimization.
</li><li>Experience with native iOS (Swift/SwiftUI) and/or Android (Kotlin/Jetpack) interoperability via platform channels or native modules.
</li><li>Proven track record leading technical design for complex mobile initiatives &mdash; including architecture decisions, API contracts, and data models that span multiple services or domains.
</li><li>Experience building accessible (a11y) and inclusive mobile user interfaces.
</li><li>Experience integrating AI/ML-enabled capabilities into mobile applications &mdash; such as intelligent assistant flows, personalization, recommendations, or content ranking &mdash; with attention to safety and responsible use.
</li><li>Experience using AI-assisted development tools (for example, Claude or similar) to improve developer productivity, code quality, and delivery speed.
</li><li>Demonstrated ability to drive architectural improvements (modularization, design patterns, platform standardization) and to mentor other engineers.
</li></ul>Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits .
The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.&amp;#xa;The total cash range for this position in Austin is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. 
 
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future. 
 
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life . 
 
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation . 
 
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. 
 
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ . 
 
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Senior Mobile Engineer, Flutter (iOS & Android) - Layla AI

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