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Applied Scientist, Amazon Robotics

Amazon

Sunnyvale, CAJob$172–222K/yrSeen 3w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$172–222K/yr
Location
Sunnyvale, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Amazon Robotics is seeking an Applied Scientist for its Foundation Models and Agentic AI team. The role focuses on developing robotics foundation models, including vision-language-action and reasoning models, and applying reinforcement learning. The scientist will contribute research that connects theoretical advances with practical robotics implementation, helping robots learn, adapt, and interact with their environments.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning ModelsAlgorithm DevelopmentDeep LearningComputer VisionHuman-Robot InteractionAlgorithm ImplementationJavaC++PythonAlgorithms and Data StructuresParsingNumerical OptimizationData MiningParallel and Distributed ComputingHigh-Performance ComputingDeep Learning Architecture DesignDeep Learning TrainingModel OptimizationModel PruningApplied Modeling

Qualifications

PhD or Master's With 4+ Years2+ Years Deep Learning or RelatedTop-Tier Publications or Patents

Benefits

Medical Insurance
Parental Leave
Paid Time Off
401(k) Match

Full job description

Description

Amazon Robotics is seeking an exceptional Applied Scientist to join our Foundation Models and Agentic AI team. This role presents an opportunity to shape the future of robotics through innovative applications of large vision-language-action (VLA) models, reasoning and task planning models, and reinforcement learning.

At Amazon Robotics, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.

We are pioneering the development of robotics foundation models that:

  • Enable unprecedented generalization across diverse tasks

  • Integrate multi-modal learning capabilities (visual, depth, force, tactile, linguistic)

  • Accelerate policy skill acquisition through imitation learning and reinforcement learning

  • Enhance robotic perception and environmental understanding

  • Streamline development processes through reusable capabilities

The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.

Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.

Key job responsibilities

As an Applied Scientist in the Applied AI and Robotics Foundations Model team, you will:

  • Model Development and Training: Designing and implementing the model architectures, training and fine tuning the foundation models using various datasets, and optimize the model performance through iterative experiments

  • Data Management: Process and prepare training data, including data governance, provenance tracking, data quality checks and creating reusable data pipelines.

  • Experimentation and Validation: Design and execute experiments to test model capabilities on the simulator and on the embodiment, validate performance across different scenarios, create a baseline and iteratively improve model performance.

  • Code Development: Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs

  • Research: Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions.

  • Collaboration: Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies.

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:

  • Medical, Dental, and Vision Coverage

  • Maternity and Parental Leave Options

  • Paid Time Off (PTO)

  • 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart, collaborative team of enthusiastic doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.

Basic Qualifications

  • PhD, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience

  • 2+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience

  • Experience in patents or publications at top-tier peer-reviewed conferences or journals

  • Experience programming in Java, C++, Python or related language

  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

  • Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

  • Experience applying theoretical models in an applied environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually

How this job compares

Set against the 1,061 open Applied Scientist jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$172–222K/yr
  • California median$175–260K/yr173 salary ranges
  • US median$158–264K/yr1,022 salary ranges

This range's midpoint, $197K, is 13% below the California median midpoint ($226K) — in the middle half of Applied Scientist salary ranges in California.

Openings
Olive Jobs lists 192 open Applied Scientist jobs in California and 1,061 across the US. Under 1% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 2 years of experience — less than three in four Applied Scientist postings that state a minimum ask for (median 5 years, across 905 postings).
Education
620 of the 1,061 open Applied Scientist jobs (58%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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