senior fe engineer Jobs in Seattle United States

senior fe engineer

senior ml engineer Jobs in Seattle United States

senior ml engineer

staff ml engineer

Hive

<p><b>About Hive</b><br/>Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world&rsquo;s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive&rsquo;s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.<br/>Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain &amp; Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!<br/><b>Staff Machine Learning Engineer</b><br/>In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.<br/><b>Responsibilities</b></p><ul><li>Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed</li><li>Write and maintain scalable, performant code that can be shared across platforms</li><li>Contribute meaningfully to the product and core backend systems by suggesting and executing improvements</li><li>Improve engineering standards, tooling, and processes</li><li>Develop novel, accurate, and performant ML algorithms for use at scale</li><li>Conduct metric-driven research experiments to improve model performance</li><li>Provide mentorship to and help onboard ML engineers</li><li>Lead cross-functional collaboration with other teams</li><li>Contribute to defining strategic direction, planning the roadmap</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority</li></ul><p><b>Minimum Requirements</b></p><ul><li>You have a Bachelor's Degree in computer science or a related field</li><li>You have 8+ years of experience building web applications</li><li>You have successfully implemented highly-available distributed systems/microservices</li><li>You have delivered scalable backend APIs</li><li>You have strong interpersonal and communication skills with a bias towards action</li><li>You have experience writing code and training across distributed systems</li><li>You have the ability to understand and make well-reasoned tradeoffs in designing features</li><li>You are an expert in machine learning frameworks, such as PyTorch or Tensorflow</li><li>You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis</li><li>You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing</li><li>You can lead end to end development of new products</li></ul><p><b>Who We Are</b><br/>We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.<br/>Thank you for your interest in Hive and we hope to meet you soon!</p><p>Job Type: Full-time</p><p>Pay: $200,000.00 - $300,000.00 per year</p><p>Work Location: In person</p>

Staff ML Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Shape the Future of AI Accelerators at AWS Neuron<br>
<br>
Join the elite team behind AWS Neuron&mdash;the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale.<br>
<br>
What You'll Impact:<br>
<ul><li>Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen</li><li>Optimize breakthrough language and vision generative AI models</li><li>Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration</li><li>Drive performance benchmarking and tuning that directly impacts millions of inference calls globally</li></ul><br>
Key job responsibilities<br>
You will drive the Evolution of Distributed AI at AWS Neuron<br>
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As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization&mdash;it's about revolutionizing how AI models run at scale.<br>
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Technical Impact You'll Drive:<br>
<ul><li>Spearhead distributed inference architecture for PyTorch and JAX using XLA</li><li>Engineer breakthrough performance optimizations for AWS Trainium and Inferentia</li><li>Develop ML tools to enhance LLM accuracy and efficiency</li><li>Transform complex tensor operations into highly optimized hardware implementations</li><li>Pioneer benchmarking methodologies that shape next-gen AI accelerator design</li></ul><br>
What Makes This Role Unique:<br>
<ul><li>Direct influence on AWS's AI infrastructure used by thousands of ML applications</li><li>Full-stack optimization from high-level frameworks to hardware-specific primitives</li><li>Creation of tools and frameworks that define industry standards for ML deployment</li><li>Collaboration with both open-source ML communities and hardware architecture teams</li></ul><br>
Your Technical Arsenal Should Include:<br>
<ul><li>Deep expertise in Python and ML framework internals</li><li>Strong understanding of distributed systems and ML optimization</li><li>Passion for performance tuning and system architecture</li></ul><br>
A day in the life<br>
Work/Life Balance<br>
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.<br>
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Mentorship &amp; Career Growth<br>
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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.<br>
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About the team<br>
At AWS Neuron, we're revolutionizing how the world's most sophisticated AI models run at scale through Amazon's next-generation AI accelerators. Operating at the unique intersection of ML frameworks and custom silicon, our team drives innovation from silicon architecture to production software deployment.<br>
We pioneer distributed inference solutions for PyTorch and JAX using XLA, optimize industry-leading LLMs like GPT and Llama, and collaborate directly with silicon architects to influence the future of AI hardware. Our systems handle millions of inference calls daily, while our optimizations directly impact thousands of AWS customers running critical AI workloads.<br>
We're focused on pushing the boundaries of large language model optimization, distributed inference architecture, and hardware-specific performance tuning. Our deep technical experts transform complex ML challenges into elegant, scalable solutions that define how AI workloads run in production.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>5+ years of programming experience using Python or C++ and PyTorch.</li><li>Experience with AI acceleration via quantization, parallelism, model compression, batching, KV caching, vllm serving</li><li>Experience with accuracy debugging &amp; tooling, performance benchmarking of AI accelerators</li><li>Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science or equivalent</li><li>Master's degree in machine learning or equivalent</li><li>Experience with accuracy debugging &amp; tooling, performance benchmarking of AI accelerators</li><li>Experience in developing CUDA kernels, HPC and inference optimization, tensors operations</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Software Engineer- AI/ML, AWS Neuron Apps

Uber

<div><b>About the Role</b>
<br>
<br>
We're looking for a highly skilled Senior Engineer to help design and scale the technical solution behind Uber's real-time dynamic pricing systems, which serve millions of riders and drivers worldwide.<br>
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In this role, you'll design, build and optimize large-scale, low-latency systems that power pricing decisions across Uber's marketplace. You'll work on the product iteration with the platform that handles over 1 million QPS, ensuring pricing is accurate, timely, and resilient in the face of real-world volatility. You'll collaborate closely with engineers across platform, ML modeling, and data to implement performant, reliable, and maintainable services.<br>
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This is a unique opportunity to tackle technically challenging problems at the intersection of real-time distributed systems, optimization, and ML, while contributing directly to Uber's core platform efficiency and driver earnings.<br>
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<b>Why This Role Matters</b><br>
<br>
You'll be working on the platform that directly affects millions of drivers' livelihoods and riders' experiences every day. Our pricing systems process billions of real-time decisions, balancing marketplace efficiency, driver earnings, and rider satisfaction. You'll have the opportunity to:<br>
<ul><li>
Solve unique technical challenges at the intersection of real-time optimization and distributed systems</li><li>
Work with cutting-edge pricing algorithms and ML systems that operate at unprecedented scale</li><li>
Shape the technical direction of critical business with direct P&amp;L impact</li></ul><br>
What the Candidate Will Do -<br>
<ul><li>
Partner with Marketplace Product and science teams to build a unified solution for pricing algorithms iterations and marketplace optimization.</li><li>
Collaborate with ML Engineering teams to build the MVP business product and scale model inference and real-time feature serving for pricing decisions</li><li>
Partner with Platform Engineering teams to ensure 99.99% availability for critical pricing systems, and contribute to multi-quarter 'Pricing as a Platform' initiatives to enhance marketplace efficiency, pricing reliability, and developer velocity.</li><li>
Mentor junior engineers and contribute to raising the technical bar across your immediate team and adjacent pricing teams.</li></ul><br>
- Basic Qualifications -<br>
<br>
<b>Exceptional Technical Background</b><br>
<ul><li>
Computer Science degree or equivalent technical education</li><li>
4+ years of industry experience with demonstrated exceptional technical impact.</li><li>
Background at leading technology companies known for world-class infrastructure ( Meta, Amazon, Databricks, TikTok, Google, Netflix, Airbnb, or similar scale)</li></ul><br>
<b>
Deep Technical Expertise</b><br>
<ul><li>
Expert-level experience with large-scale distributed systems, handling millions of QPS or experience on optimization and simulation.</li><li>
Proficiency in real-time streaming or batch processing (e.g., Kafka, Flink, Spark) and low-latency data systems.</li><li>
Advanced knowledge of database technologies (e.g., MySQL, Hive, Redis) and caching strategies.</li><li>
Experience with microservices architecture, service mesh, and observability at scale</li><li>
Exceptional coding skills in Go, Java and python, with experience in high-performance system design.</li></ul><br>
- Preferred Qualifications -<br>
<ul><li>
Strong background in real-time system, math, optimization and simulation.</li><li>
Worked on real-time infrastructure serving 100M+ users, or 1M+ QPS, achieved 10x+ performance improvements, and breakthrough technical innovations</li><li>
Fundamental machine learning knowledge</li><li>
Track record of operational excellence: incident management, SLA optimization, and system reliability</li></ul><br>
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Senior Software Engineer - Marketplace Real Time Supply Intelligence

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
In this role you will be responsible for leading a technical team which is critical in providing profiling and optimization tools for the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for performance profiling of large ML workloads, identifying bottlenecks and automatically providing improvement recommendations. Neuron Core Tools develops and maintains a family of profiling software and provides ability for performance engineers to develop and improve custom kernels that would impact efficiency of large workloads.<br>
<br>
Key job responsibilities<br>
<ul><li>Provide technical leadership to the Neuron Core Tools team</li><li>Work closely with the frameworks and compiler teams.</li><li>Collect requirements from various other teams including training, inference and runtime.</li><li>Collaborate with the compiler performance team to ensure timely release of the core performance tools.</li><li>Anticipate future needs based on the product roadmap and develop necessary tools to increase efficiency in large scale compute.</li></ul><br>
About the team<br>
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.<br>
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Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the 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.<br>
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Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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<br>
Work/Life Balance<br>
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 in the cloud.<br>
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Mentorship &amp; Career Growth<br>
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.<br>
<br>
About Amazon Annapurna Labs:<br>
Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world&rsquo;s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.<br>
<br>
About AWS Utility Computing (UC):<br>
AWS Utility Computing (UC) provides product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.<br>
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About AWS<br>
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.<br>
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About AWS Neuron:<br>
AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it&rsquo;s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Software Development Engineer, Annapurna Labs

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Generative AI Innovation Center (GenAIIC) at AWS helps AWS customers accelerate the use of generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers and partners to build bespoke solutions that harness the power of generative AI. The team is looking for an experienced and talented Principal Data Science Manager who brings a strong blend of experience in machine learning, generative and agentic AI, effective organizational and interpersonal skills, and experience building scalable AI/ML solutions using cloud computing.
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The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical &ldquo;face&rdquo; of GenAIIC with our customers. You will be able to drive discussions with senior technical and business leaders within customers and partners. You will possess technical background that enables you to interact with and give guidance to data/research/applied scientists and software engineers on the team. The ideal candidate will also have demonstrated ability to roll up their sleeves to build agentic AI solutions, think strategically about business, product, and technical issues. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent.<br>
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<br>
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Key job responsibilities<br>
<ul><li>Collaborate with ML scientists, engineers and architects to research, design, and develop Generative and Agentic AI solutions to address real-world challenges</li><li>Interact with customers to understand business problems, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production</li><li>People management responsibilities, to include leading teams driving incubation efforts in areas such as Responsible AI, Physical AI and Agentic AI</li><li>Create and deliver best practice recommendations, blog posts, and presentations adapted to technical, business, and executive stakeholders</li><li>Provide customer and market feedback to Product and Engineering teams to help define product direction</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>5+ years of people management experience</li><li>Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives</li><li>Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track</li><li>10+ years as a scientist or science manager</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>10+ years of practical work applying ML to solve complex problems for large-scale applications experience</li><li>Experience programming in Java, C++, Python or related language</li><li>5+ years of hands-on work in big data, machine learning and natural language processing</li><li>Experience with AWS technologies for machine learning like SageMaker, Bedrock, S3, and EC2</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $208,300/year in our lowest geographic market up to $324,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Manager, Data Science, Generative AI Innovation Center

Apple

<div>We are hiring an area lead with strong technical background in Image/Video/3D generation and Multimodal Foundation Models. You will play a critical role in driving the technical directions and building multimodal foundation models for image/video/3D generation, editing, animation and many more. As a member of the team, you will have the opportunity to drive fundamental capabilities, lead teams to work on ambitious projects and collaborate broadly across Apple with world-class engineers and researchers to advance our products and delight millions of users.<br>
<br>
<b>Description</b><br>
<br>
We are a fast-paced group focusing on model, data and applied research on vision and multimodal foundation models. We are looking for technical leads and managers who have: * Strong technical background and hand-on experiences in machine learning, computer vision and foundation models * 5+ years of experience in managing or tech lead big teams of ML engineers, successfully driving team&rsquo;s mission, execution and growth * 5+ years of experience in driving complex projects and shipping products * Strong communication skills and collaborating with x-functional teams In this role, you&rsquo;ll have the opportunity to drive roadmaps, propose your own research plan to advance Image/Video/3D generation models and technologies. You&rsquo;ll provide technical mentorship and guidance to the team and drive execution. You will have the opportunity to collaborate with broader teams across Apple.<br>
<br>
<b>Minimum Qualifications</b><br>
<ul><li>
PhD, MS or equivalent experience</li><li>
Hands on experience in building Image/Video/3D generation and multimodal foundation models</li><li>
5+ years of experience in managing or leading 20+ engineer teams</li><li>
Excellent communication and interpersonal skills</li><li>
Excellent understanding of an ML-based product lifecycle.</li><li>
Hands-on experience in data mining and data curation</li><li>
Proficiency in one of following languages: Python, Go, Java, C++</li></ul><br>
<b>
Preferred Qualifications</b><br>
<ul><li>
Strong experience leading and/or collaborating with a breadth of product areas simultaneously</li><li>
Passion for product and user experience</li><li>
Hands-on experience delivering large-scale products or platforms, leveraging cross-functional partnerships to drive outcomes across multiple organizations</li><li>
Strong experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.</li><li>
Strong history of delivering innovation</li><li>
Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making</li><li>
Experience with VP-level presentations and reporting</li></ul><br>
<b>
Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $201,300 and $367,400, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.<br>
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
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Submit Resume</div>

AIML - Principal ML Engineer/Scientist, Image/Video Generation and Multimodal Foundation Models

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
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Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
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As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
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We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
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Key job responsibilities<br>
<ul><li>Develop ML models for various recommendation &amp; search systems using deep learning, online learning, and optimization methods</li><li>Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li><li>Publish your research findings in top conferences and journals</li></ul><br>
A day in the life<br>
We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative &amp; customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences.
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About the team<br>
Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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.<br>
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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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist II, Prime Video Personalization and Discovery Science

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