Senior Machine Learning Engineer Generative Ai jobs at Amazon in United States, Boston

Key job responsibilities
As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying high performance model inference capabilities, including but not limited to multi-modality, SOTA model architectures, latency, throughput, and cost. You will collaborate closely with a team of engineers and scientists to influence our overall strategy, and define the team’s roadmap. You will drive system architecture, spearhead best practices, and mentor junior engineers.A day in the life
You will consult with scientists to get inspiration of emerging techniques, and blend those into our roadmap; You will design and experiment with new algorithms from public and internal papers, benchmark the latency and accuracy of your implementations; Most importantly you will implement production grade solutions, and see them through the deployments swiftly; You may need to collaborate with other science and engineering teams to get things done properly; You will hold highest bar in operational excellence and support production systems, and constantly create solutions to minimize the ops load.

- 3+ years of non-internship professional software development experience
- Experience with software performance optimization
- Knowledge of Deep Learning and Transformer architectures

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with Large Language Model Inference
- Experience with GPU programming (TensorRT-LLM)
- Experience with Python, PyTorch, and C++ programming and performance optimization
- Experience with Trainium and Inferentia Development

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements

- High-School or equivalent diploma.
- 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time.
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.

- Bachelor’s degree in a relevant field or equivalent professional experience.
- Experience with creating complex data for LLM training and evaluation.
- 1+ year(s) of experience working with command line interfaces and basic UNIX commands.
- Familiarity with common markup languages such as HTML, XML, Markdown.
- Familiarity with common standard text formats such as JSON, CSV, RTF.
- Working knowledge of Python or another scripting language.
- Familiarity with regular expressions syntax.
- Familiarity with Large Language Models.
- Comfort in annotation work that may include sensitive content.

Utility Computing (UC)
Diverse Experiences
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’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
We are looking for a senior network operations engineer in the satellite, antenna, and radio frequency space who will require a blend of technical expertise spanning RF engineering, satellite communications, and advanced networking technologies. Beyond technical skills, success in this role demands strong problem-solving abilities, continuous learning, and the capability to design, optimize, and troubleshoot complex satellite communication systems while ensuring regulatory compliance and performance excellence.
Act as a subject matter expert (SME) for escalated networking issues, including BGP peering, DNS failures, throughput bottlenecks, and path optimization.Develop troubleshooting playbooks, technical guides, and knowledge base articles to enhance case deflection and onboarding of new support engineers.
Mentor junior support engineers, providing case coaching, knowledge transfer, and technical escalation support.
Drive operational readiness and support planning for new network features, firmware rollouts, and regional launches.Work in a rotating shift schedule, including weekdays, and weekends, with the requirement to be available for on-call duties as needed to ensure continuous operational coverageExport Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

- Experience in technical support
- Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent, or 5+ years of professional or military experience
- 5+ years of experience in satellite communications, network operations, AWS NetDev, or RF engineering roles with focus on system troubleshooting and technical support.
- Demonstrated hands-on experience with RF fundamentals including carrier operations, link budgets, and satellite ground equipment. Must be proficient in standard network protocols and system architecture.
- Strong track record of analyzing complex technical issues and managing customer escalations through resolution. Experience documenting technical solutions and standard operating procedures.
- Proven experience using spectrum analyzers, monitoring tools, and standard test equipment for system diagnostics and optimization.
- Understanding of antenna specifications including gain, beamwidth, polarization, and radiation patterns. Hands-on experience in antenna installation, maintenance, and troubleshooting.
- Strong background in NOC operations with experience in emergency response and on-call support scenarios.

Key job responsibilities
STM (Site Technical Manager) is the single threaded owner for manufacturing technical issues for assigned projects with our Contract Manufacturers, focus on:
- Ensure technical readiness for product ramp and serve as manufacturing engineering owner for product PVT and mass production.
- Driving manufacture test flow optimization, process and yield improvements to exceed our volume production goals.
- Define the manufacture process qualification criteria, manage the qualification activities, and complete the documentation.
- Leading our efforts for root cause and corrective action for all manufacturing process related issues, dive deep to analyze the problems found both in and out of the factory.
- Participation in design & planning through DFM, Line balancing , as well as Process Yield, Capacity and Cost Modeling.- Review and approval of Fixtures Designs & Qualification (FATP, Device build)
- Review and execute Manufacturing Test Coverage Documents to ensure new products launch.- Periodically audit the CM for manufacture process quality management system.

- Bachelor of engineer degree.
- 10+ years’ experience in manufacturing and process engineering of CE industrial.
- Familiar with electronic circuit and/or hardware test.
- Excellent analytical and problem solving skills, including experience in leading root cause and corrective action investigations.
- Strong understanding of manufacturing and test processes, with the ability to translate into DFx recommendations.
- Direct responsibility for defining production process/test and equipment requirements for new product manufacturing.
- Excellent oral and written communication skills including effective presentation of complex data.
- Experience collaborating with cross-functional and remote teams.
- Demonstrated ability to start projects, to manage project progress, to drive to completion and to achieve results.
- Enthusiasm for getting “hands on” with product and production equipment.

- MS degree
- MTE (manufacture test engineering) expertise knowledge
- Technical PM experience
- Experience of managing world class OEM suppliers
- Experience of working under office environment
- Understanding of ISO9001 quality management system in electronics manufacturing environment.

Key job responsibilities- Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Utilize Python and SQL to automate and optimize data processing workflows
- Interpret technical documentation to implement solutions accurately
- Dive deep into issues and implement solutions independently
- Identify and report tooling bugs and suggest improvements
- Make sound judgments and logical decisions when faced with ambiguous or incomplete information

- Bachelor’s degree in a relevant field or equivalent professional experience.
- Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Familiarity with critical concepts such as Python, scripting language, data structures etc.

- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
- Experience managing stakeholder relationships across departments.
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).

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 – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, 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.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video team member, you’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’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
Key job responsibilities
As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, multimedia understanding and so on.You’ll work on diverse projects that enhance Prime Video’s content localization, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:
- Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimedia
- Innovate in advanced diffusion and flow-based methods (e.g., inverse flow matching, parameter efficient training, guided sampling, test-time adaptation) to improve efficiency, controllability, and scalability.
- Advance visual grounding, depth and 3D estimation, segmentation, and matting for integration into pre-visualization, compositing, VFX, and post-production pipelines.
- Design multimodal GenAI workflows including visual-language model tooling, structured prompt orchestration, agentic pipelines.A day in the life

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience in generative models (diffusion, flow, transformers)
- Hands-on experience with image/video synthesis and editing techniques
- Proficiency in PyTorch and modern DL toolkits (e.g., Hugging Face ecosystem)