Applied Scientist II, Foundation Model, Industrial Robotics Group

Amazon; San Francisco, Northern (CA, KY); Hybrid; USD 172,000 - 222,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking an Applied Scientist in its Industrial Robotics Group to develop and improve machine learning systems enabling robots to perceive, reason, and act in real‑world environments. You will work with open source and internal models, refine them for robustness and safety, and collaborate with research, controls, hardware, and product teams to deploy on robot embodiments.

You will contribute to data workflows, implement APIs, and stay current with advances in foundation models and

Qualifications

• PhD or MS degree with 4+ years of ML model building in applied settings.
• 2+ years building models for business applications.
• 2+ years hands-on experience in deep learning with CV/multimodal/RL for robotics or related fields.
• Experience using Unix/Linux and professional software development.
• Ability to design rigorous experiments and reproducible baselines.
• Demonstrated technical contributions (publications, patents, or open-source).

Responsibilities

• Leverage state-of-the-art models for targeted robot tasks through fine-tuning and optimization.
• Execute rapid, rigorous experiments with reproducible results bridging simulation and real environments.
• Build and run capability evaluations/benchmarks to profile performance and failure modes.
• Contribute to data collection, curation, and training workflows and recipes.
• Write clean, maintainable, well-documented code and APIs; contribute to training infrastructure.
• Stay current with foundation models and robotics research; document methods and findings.
• Collaborate with senior scientists, engineers, and hardware teams across multiple groups.

Skills

ML model building

Deep learning

Unix/Linux

Software development

Experiment design

Publications/patents

Education

PhD or MS+4 years ML

Tools

Python

C/C++

Java

Perl

Job description

ID lavoro: 3189870 | Amazon.com Services LLC

Industrial Robotics Group is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine innovative AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.

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, tactile, linguistic)
• Accelerate skill acquisition through demonstration 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.

As an Applied Scientist, you will develop and improve machine learning systems that help robots perceive, reason, and act in real-world environments. You will leverage state-of-the-art models (open source and internal research), evaluate them on representative tasks, and adapt/optimise them to meet robustness, safety, and performance needs. You will invent new algorithms where gaps exist. You’ll collaborate closely with research, controls, hardware, and product-facing teams, and your outputs will be used by downstream teams to further customise and deploy on specific robot embodiments.

Key job responsibilities

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

• Leverage state-of-the-art models for targeted tasks, environments, and robot embodiments through fine-tuning and optimisation.
• Execute rapid, rigorous experimentation with reproducible results and solid engineering practices, closing the gap between simulation and real environments.
• Build and run capability evaluations/benchmarks to clearly profile performance, generalisation, and failure modes.
• Contribute to the data and training workflow: collection/curation, dataset quality/provenance, and repeatable training recipes.
• Write clean, maintainable, well‑commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs.
• 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.
• 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.

• 2+ years of building models for business application experience
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• PhD, or Master’s + 4+ years building ML models/algorithms in applied settings
• 2+ years hands‑on experience in deep learning with strength in at least one: computer vision, multimodal models, imitation learning / RL for robotics, or human‑robot interaction
• Ability to design rigorous experiments, analyse results, and iterate quickly with reproducible baselines
• Demonstrated technical contributions (e.g., publications, patents, open‑source, or impactful internal systems)

• Experience using Unix/Linux
• Experience in professional software development

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 judgement, 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.

Qualifiche Preferenziali

• Experience using Unix/Linux
• Experience in professional software development

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 judgement, 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.

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