דרושים Senior Gen Ai Strategist Generative Innovation Center ב-אמזון ב-United States, Bellevue

- 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.

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).

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

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.)

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)

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.

Key job responsibilities
• Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
• Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
• Participate in code reviews and contribute to technical documentation.
• Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
• Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
• Write clean, maintainable code following best practices and design patterns.
• Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
• Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
A day in the life
As an SDE intern with the AGI team, you will assist in developing modeling techniques and help optimize performance of large model training using NVIDIA GPUs. You will learn to work with Amazon's diverse data sources and computing resources while gaining hands-on experience with Large Language Models (LLMs) and other Generative AI applications. As part of our collaborative team, you'll contribute to ongoing projects and learn about system architecture and best practices in AI infrastructure development. You will work in an Agile/Scrum environment, participating in daily stand-ups and sprint planning while delivering quality code.

- Are 18 years of age or older
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience with AI/ML technologies
- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related STEM fields, with an expected graduation date after October 2026

- Previous technical internship(s) or demonstrated project experience
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
- Demonstrated ability to learn and adapt to new technologies quickly
- Basic understanding of software development lifecycle (SDLC)