Amazon
Applied Scientist, FAR (Frontier AI & Robotics)
Amazon, San Francisco, California, United States, 94199
Job ID: 3134007 | Amazon.com Services LLC
Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world‑renowned AI pioneers to push the boundaries of what's possible in robotic intelligence. As an Applied Scientist, you will develop breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You will drive independent research initiatives in perception, manipulation, scene understanding, sim2real transfer, multimodal foundation models, and multi‑task learning, designing novel algorithms that bridge the gap between state‑of‑the‑art research and real‑world deployment at Amazon scale.
Key Job Responsibilities
Design and implement novel deep learning architectures that expand what robots can understand and accomplish.
Lead independent research initiatives in robotics foundation models, focusing on breakthrough approaches in perception and manipulation (e.g., open‑vocabulary panoptic scene understanding, scaling up multimodal LLMs, sim2real/real2sim techniques, end‑to‑end vision‑language‑action models, efficient model inference, video tokenization).
Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments.
Collaborate with platform teams to optimize and scale models for real‑world applications.
Contribute to the team's technical strategy and help shape our approach to next‑generation robotics challenges.
A Day in the Life
Design and implement novel foundation model architectures, leveraging Amazon's extensive compute infrastructure to train and evaluate at scale.
Collaborate with our world‑class research team to solve complex technical challenges.
Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate solutions into production systems.
Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists.
Leverage Amazon's massive compute cluster and robotics infrastructure to prototype and validate new ideas rapidly.
Transform theoretical insights into practical solutions that handle the complexities of real‑world robotics applications.
Benefits
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
About the Team At Frontier AI & Robotics, we are reimagining robotics from the ground up, building the future through groundbreaking foundation models and end‑to‑end learned systems. We tackle sophisticated perception systems and adaptive manipulation strategies that operate in complex, real‑world scenarios. Leveraging Amazon's massive computational infrastructure and rich real‑world datasets, we train and deploy state‑of‑the‑art foundation models that scale to meet the demands of Amazon's global operations.
Basic Qualifications
3+ years of building machine learning models for business application experience.
PhD or Master's degree and 6+ years of applied research experience.
Experience programming in Java, C++, Python, or related language.
Experience with neural deep learning methods and machine learning.
Preferred Qualifications
Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.
Experience with large‑scale distributed systems such as Hadoop, Spark, etc.
Equal Opportunity Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Fair Chance Ordinances Los Angeles County applicants: We consider qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Compensation The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Depending on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
Posting Information Posted: November 29, 2025 (Updated 2 days ago)
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Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world‑renowned AI pioneers to push the boundaries of what's possible in robotic intelligence. As an Applied Scientist, you will develop breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You will drive independent research initiatives in perception, manipulation, scene understanding, sim2real transfer, multimodal foundation models, and multi‑task learning, designing novel algorithms that bridge the gap between state‑of‑the‑art research and real‑world deployment at Amazon scale.
Key Job Responsibilities
Design and implement novel deep learning architectures that expand what robots can understand and accomplish.
Lead independent research initiatives in robotics foundation models, focusing on breakthrough approaches in perception and manipulation (e.g., open‑vocabulary panoptic scene understanding, scaling up multimodal LLMs, sim2real/real2sim techniques, end‑to‑end vision‑language‑action models, efficient model inference, video tokenization).
Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments.
Collaborate with platform teams to optimize and scale models for real‑world applications.
Contribute to the team's technical strategy and help shape our approach to next‑generation robotics challenges.
A Day in the Life
Design and implement novel foundation model architectures, leveraging Amazon's extensive compute infrastructure to train and evaluate at scale.
Collaborate with our world‑class research team to solve complex technical challenges.
Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate solutions into production systems.
Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists.
Leverage Amazon's massive compute cluster and robotics infrastructure to prototype and validate new ideas rapidly.
Transform theoretical insights into practical solutions that handle the complexities of real‑world robotics applications.
Benefits
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
About the Team At Frontier AI & Robotics, we are reimagining robotics from the ground up, building the future through groundbreaking foundation models and end‑to‑end learned systems. We tackle sophisticated perception systems and adaptive manipulation strategies that operate in complex, real‑world scenarios. Leveraging Amazon's massive computational infrastructure and rich real‑world datasets, we train and deploy state‑of‑the‑art foundation models that scale to meet the demands of Amazon's global operations.
Basic Qualifications
3+ years of building machine learning models for business application experience.
PhD or Master's degree and 6+ years of applied research experience.
Experience programming in Java, C++, Python, or related language.
Experience with neural deep learning methods and machine learning.
Preferred Qualifications
Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.
Experience with large‑scale distributed systems such as Hadoop, Spark, etc.
Equal Opportunity Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Fair Chance Ordinances Los Angeles County applicants: We consider qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Compensation The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Depending on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
Posting Information Posted: November 29, 2025 (Updated 2 days ago)
#J-18808-Ljbffr