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- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- 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
- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
- 5+ years of hands-on work in big data, machine learning and predictive modeling experience
- 5+ years of people management experience
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
These jobs might be a good fit

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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 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.As a Prime Video technologist, 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
The ideal candidate will have a strong technical background, be detail driven, and have excellent problem-solving abilities. You demonstrate expertise with AWS-based infrastructure, products and solutions. You will be comfortable designing, building, deploying, and operating, as well as resolving critical issues. The role will be responsible for systems functionality, performance, and optimizing configurations and the ideal candidate can demonstrate sound knowledge of scripting concepts and theory. It is important that you can earn trust of your peers and stakeholders through your body of work and day to day interactions. This role requires ambition, thinking big, self-motivation, and the ability to thrive in a fast-paced, collaborative, and startup-like environment.A day in the life
* Comfortable designing, developing, deploying, and IaC, Python, and scripts
* Infrastructure design in AWS environments
* Builds AWS-based solutions for problems of sizable scope and complexity that have been successfully deployed to customers/users
* Champions Infrastructure as Code (IaC); provides thought leadership; establishes enterprise-level infrastructure patterns.
* Builds and enhances Continuous Integration and Delivery (CI/CD) pipelines.
* Mentors less experienced software engineers. Collaborates with other teams and engineers to find innovative solutions for moderately complex problems.
* Comfortable designing, building, deploying, and operating cloud systems in AWS, as well as resolving critical issues in cloud environments.About the team
Our Infrastructure Engineering team builds, deploys, operates, and sustains our critical applications, infrastructure and systems in the cloud. You will deploy and monitor the systems, with automation to ensure that critical infrastructure is operating optimally while implementing mechanisms to prevent service impacting incidents. You will utilize trends and metrics to identify and communicate opportunities for improvements within existing frameworks, tools and processes to continuously improve systems.
Engineers are responsible for developing the tools, platforms, and methodologies that deliver performant, resilient, and efficient cloud platforms and architectures. Our engineers touch a wide range of AWS applications and infrastructure components.
- Experience leading the design, automation, deployment, and support of large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- 5+ years of systems design, software development, operations, automation, and process improvement experience
- Experience with CI/CD pipelines build processes
- Experience with distributed systems at scale

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You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors.This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing Multi-modal LLMs and Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.Key job responsibilities
- Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.
- Research and implement the state-of-the-art computer vision and Vision Language models algorithms.- Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in building models for business application
- Experience programming in Java, C++, Python or related language
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

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The Amazon logistics Design Engineering team is seeking a versatile, solutions-oriented Design Engineer to drive new automation initiatives and develop the next generation of world-class industrial building designs. This is an exciting opportunity to tackle complex challenges with boundless innovation.
In this role, you will focus on integrating automation and robotics solutions into the design of warehouses and delivery centers. You will apply strong analytical skills to evaluate design options, optimize performance, and ensure the successful implementation of design projects. The role includes close collaboration with cross-functional teams to integrate new technologies and develop simulation models to support strategic decision-making.
We seek resourceful engineers who are critical thinkers and excel at cross-functional collaboration. You will work closely with internal and external stakeholders to design high-quality, cost-effective solutions for our delivery stations. You will be part of a team of highly skilled and engaged engineers in a fast-paced, often ambiguous environment.
Key job responsibilities
• Provide technical leadership for large-scale engineering projects, retrofits, and building designs
• Design and develop efficient layouts for warehouses and delivery centers, optimizing space and workflow
• Integrate automation solutions into facility designs, ensuring scalability and efficiency
• Collaborate with cross-functional teams to integrate new technologies
• Develop and utilize simulation models to evaluate design options and optimize performance
• Conduct spatial integration and trade studies for proposed designs and automation projects
• Ensure successful project implementation from concept through to design completion, adhering to timelines and quality standards
• Communicate effectively, execute the vision, and present detailed technical solutions to senior executivesA day in the life
A typical day involves diving into CAD software to create and refine delivery station layouts. You'll analyze high-level demand projections to inform design decisions, ensuring future scalability. Collaborating with operations teams, you'll translate workflow needs into practical designs. Expect to juggle multiple projects, participating in design review meetings and coordinating with architects and civil engineering on detail drawings. You'll troubleshoot design challenges, conduct capacity analyses, and stay updated on industry innovations. The role demands a balance of analytical thinking, creative problem-solving, technical expertise, and effective communication to meet operational goals and deadlines.
- 5+ years of directly managing and responsible for multiple large projects experience
- Experience and strong technical background in relevant fields of automated or non-automated material handling equipment
- Bachelor’s Degree in Industrial Engineering, Mechanical Engineering, or other STEM field
- 8+ years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation
- Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems
- Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)

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Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout 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 below, 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.Mentorship & 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.
- 2+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- 2+ years of experience of Data platform implementation
- Hands on experience with building data or machine learning pipeline
- Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)

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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.The successful candidate will support the Data Center Physical Security Team with the implementation of AWS’s security policies and procedures at AWS Data Center(s). You will also be responsible for coordinating physical security operations, testing and conducting audit reviews of the Physical Security Program, provide support to the Contract Guard Force, contractors and all stakeholders within the Data Center. You will possess a willingness to learn new skills and build relationships with internal and external partners to maintain and enhance the safety and security standards of our Data Center operations. We invite candidates from diverse backgrounds to apply for this role as training will be provided.As a Data Center Security Manager, you will be tasked with running day-to-day data center security operations, supporting and executing security projects and programs, as well as assuring audit compliance with AWS policies and procedures.Key job responsibilities
Responsibility:
- Handle site security incidents, escalations, or any other security related issues.
- Provide after-hours on-call management support and participate in an emergent, large scale event response when needed.
- Participate in re-occurring data center security audits and reviews.
- Executes established compliance processes with AWS policies, standards, guidelines and relevant legal and regulatory requirements.
- Provides input on, and may develop security methodologies, policies and procedures.
- Write reports and communicate with management on the status of DC security operations.
- Oversee new security construction or retrofit projects.
- Manage the security P&L for the assigned site(s), assist management with financial analysis, and contribute to financial decisions for security requirements.- Direct and manage the contract guard force to run daily data center operations.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’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & 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.Work/Life Balance
- Speak, write, and read fluently in English
- Bachelor’s degree or equivalent professional experience in security or related fields; i.e.,compliance, logistics, transportation, facilities among others
- 2+ years of commercial or industrial work experience.

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As a Software Development Engineer in the Amazon Device OS organization, you will own the definition and implementation of components used to build applications on millions of devices. We are building a new development environment for our smart home devices, and, as part of this effort, you will create common software components for product lines such as Echo and Fire TV. You will be challenged to create rich customer applications, while optimizing for performance.
You will engage with an experienced cross-disciplinary staff to conceive and design innovative customer experiences. You will create new solutions in a responsive, flexible and collaborative peer environment. You will participate in designing, prototyping, and building solutions to hard problems in the Amazon ecosystem for our exciting future in consumer devices.
Key job responsibilities
As a Software Development Engineer, you will:
- Understand and refine the scope of incoming projects
- 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

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- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- 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
- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
- 5+ years of hands-on work in big data, machine learning and predictive modeling experience
- 5+ years of people management experience
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
These jobs might be a good fit