דרושים Fall Applied Science Internship - United States Masters Student ב-אמזון ב-United States, Washington, Seattle

This internship is not just about executing tasks – you'll explore novel approaches to solving intricate security and privacy problems. You'll dive deep into cutting-edge research, leveraging your expertise to develop innovative solutions. You'll work on deploying your solutions into production, witnessing the real-world impact of your contributions.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment.Key job responsibilities

- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming or scripting language like Python, Java, C or C++

- Have publications at top-tier peer-reviewed conferences or journals

Shape the Future of Visual IntelligenceThroughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Key job responsibilities
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas of visual intelligence. You will tackle challenging, groundbreaking research problems to help build solutions where visual input helps the customers shop, anticipate technological advances, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers.A day in the life- Dive into complex challenges, leveraging your expertise in areas such as Vision-Language Models, Object Recognition/Detection, Large Language Models (LLMs), Facial Recognition, Image Retrieval, Deep Learning, Ranking, Video Understanding, and Robotics.
- Engage in knowledge-sharing, mentorship, and career-advancing resources to grow as a well-rounded professional.

- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming or scripting language like Python, Java, C or C++

In this role, you will be a part of leading and building our complex and ambitious “Associate to Consultant” (A2C) SDT, as well as elevating the technical execution and delivery of your team of early-in-career Associate Consultants. Our A2C team hires early-in-career technologists, including recent graduates, and providing training, coaching, and mentoring to develop them into productive, customer-facing technical consultants. Associate Consultants in the practice may include specialists in Infrastructure, Application Development, DevOps, Data, and Security. You will manage approximately 10-20 Associate Consultants.
Key job responsibilities
As an experienced Professional Services Delivery Manager, you will be responsible for:
•Building and managing a high-performing team of Delivery Consultants
•Collaborating with Delivery Consultants, Engagement Managers, Account Executives, and Cloud Architects to deploy solutions and provide input on new features
•Developing and overseeing the implementation of innovative, forward-looking IT strategies for customers
•Managing practice P&L, ensuring on-time and within-budget delivery of customer engagements
•Driving business development initiatives and exceed customer satisfaction targets
•Work with teams across AWS to develop mechanisms to accelerate hiring, onboarding, development, and insights into our early-in-career program delivery.
•Drive technical and soft skill training to focus and accelerate consultant development
•Partner with Business Unit stakeholder to identify engagement staffing opportunities for your team and drive high team utilization.About the team
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.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

• 8+ years in IT and/or Management Consulting, with at least 3 years in a people leadership role.
• Experience managing IT transformation projects
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
• Experience recruiting, onboarding, training, mentoring, and/or staffing consultants or other customer-facing professionals;
• Ability to travel to AWS and customer locations across the US or globally, as needed

• Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
• Strong project management and resource management capabilities
• Financial acumen with P&L management experience and ability to navigate complex stakeholder relationships and drive change
• Sales and negotiation skills for opportunity capture and proposal development
• Excellent communication, presentation, and negotiation skills with the ability to build and maintain C-level client relationships

Key job responsibilities
You will set goals, define, develop and realize the roadmap, identify resource requirements and hire against it, develop the careers of engineers, deliver high-quality software that exceeds customer expectations, write docs to communicate vision, project status and operational reviews, and maintaining operational excellence of the system you own.A day in the life
You will be a member of the leadership team and the technical leader responsible for service development and operations. You will collaborate with stakeholders from Alexa devices and several Alexa Cloud teams to define roadmaps, plan for new requirements, make prioritization trade-offs, and track dependencies. You will brainstorm new ideas with principal engineers to address requirements, solve problems, and scale services. Additionally, you will conduct sprint planning and daily scrum meetings to track deliverables. Furthermore, you will review operational and ticket dashboards to identify and prioritize customer issue resolutions. You will also coach and mentor your team members, plan their careers, and participate in hiring new team members. And, you will author documents to communicate vision and project updates.Basic qualifications7+ years of engineering experience
3+ years of engineering team management experience
5+ years of leading the definition and development of multi tier web services experience
Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operationsExperience designing or architecting (design patterns, reliability and scaling) of new and existing systems
Preferred qualificationsExperience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Experience with the scrum methodology

- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Key job responsibilities
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges.A day in the life
- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Research and apply the latest ML techniques and best practices from both academia and industry.

- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling

- Have publications at top-tier peer-reviewed conferences or journals
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

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.

Start dates for our internships in this posting include the following periods:
1. Winter (Starts January/February 2026)
2. Summer (Starts May/June 2026)
3. Fall (Starts August/September 2026)Key job responsibilities
As a Business Intelligence Engineer intern, you will/may:
• Build small- to mid-size business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data
• Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver end product on schedule
• Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)
• Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible
• Use one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders
• Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals
• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions
A day in the life

- Are 18 years of age or older
- Are enrolled in a academic program that is physically located in the United States
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Experience with data querying or modeling with SQL
- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Currently working towards a Bachelor’s Degree in statistics, computer science, computer engineering, information management/systems, business analytics or other equivalent technical discipline with an expected conferral date between October 2026 – December 2029.

- Experience with scripting language (e.g., Python, Java, or R)
- Knowledge of data modeling and data pipeline design
- Experience with relational and star schema data modeling concepts
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
- Enrolled in a Master’s Degree or advanced technical degree with an expected conferral date between October 2026 – December 2029.
- Previous technical internship(s), if applicable.
- Ability to deal with ambiguity in a fast-paced environment.
- Excellent verbal/written communication skills and data presentation skills.
- Strong analytical skills.