Machine Learning Sde-iii Robotic Movement Software Systems jobs at Amazon in United States, Massachusetts

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

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

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)

You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.Key job responsibilities
You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

- 5+ years of hands-on work in predictive modeling and analysis experience
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
- Experience working in predictive modeling and analysis
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience programming in Java, C++, Python or related language
- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment

- 10+ years of relevant work in industry or academia experience
- Knowledge of problem solving, algorithm design and complexity analysis
- Experience creating novel algorithms and advancing the state of the art
- Have peer-reviewed scientific contributions in premier journals and conferences

This position involves periodic on-call responsibilities. We don’t like getting paged, so we build our systems fault tolerant and root cause problems so we’re not paged for the same issue twice.Utility Computing (UC)
About AWS
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.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 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

Key job responsibilities
* Design, implementation, deployment and maintenance of innovative software solutions to transform service performance, availability, cost, and security.
* Use Java/Java based frameworks and software engineering best practices to ensure the standard of quality of all team deliverables.
* Write high quality distributed system software.
* Work in an agile development environment, where you are always working on the most important stuff.
* Mentor junior software development engineers

- 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

As an Amazon Field Engineer, you will provide full life-cycle support to AWS Data Centers from design inception through site improvement and maintenance. You will be the ‘go to’ engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:
• Perform design and equipment submittal review for new Data Centers in your region.
• Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
• Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
• Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, increase efficiency and sustainability.
• Interface with internal data center operations team, data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
• Develop innovative solutions for AWS’s data centers.
• Work on concurrent projects, sometimes in multiple geographical regions.
• Initiate and lead engineering audits including on-site visits within Amazon’s data centers. Produce reports outlining risks with recommended mitigations and remediations.
• Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilitiesOur Field Engineers:
• Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty/ambiguity.
• Are detail and data oriented.
• Have experience solving problems with engineered solutions.
• Have experience managing engineering projects and consultants.
• Build trust and relationships with different stakeholders (e.g., Operations, Controls, Construction, Design, Commissioning, Product Managers, Technical Program Managers, ).
• Are adaptable and inclined to get into the fieldA day in the life
Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally.If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you!
Diverse Experiences
Amazon 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’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life Balance
Mentorship and 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.

- Bachelor’s Degree in Mechanical Engineering or 6+ cumulative years of experience with industrial or commercial engineering in Mission Critical facilities including but not limited to: data centers, power generation, oil/gas facilities. (Experienced Engineer)

- Experience using a variety of web based and other software tools for calculation and data processing. Direct experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers.
- Experience as resident engineer or hands-on (in the field) design consultant or owner’s engineer. Knowledge of building codes and regulations for your region. Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents
- Ability to carry design concepts through exploration, development, and into deployment/mass production. Basic understanding of both mechanical and/or electrical equipment/design related to data centers (Including but not limited to: uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers [air-cooled and water-cooled], pumps, cooling towers, heat exchangers, CRAHs, fans, air economizers, water treatment, etc...)
- EPMS/SCADA/BMS Controls system experience (software and/or hardware). Chilled Water System experience. Liquid Cooling Experience