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Senior Research Scientist - Manipulation

Field AI02 Sep 2026
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Job Description

We are looking for a Research Scientist to advance the state of the art in large-scale learned humanoid manipulation. In this role, you will develop new methods for learned and physically-grounded models, spanning reinforcement-learning, imitation learning, multimodal representation learning, cross-embodiment transfer, and beyond.

 

Working within FieldAI’s broader humanoid manipulation roadmap, you will formulate new approaches, design rigorous experiments, and validate resulting capabilities on real humanoid robots. You will work closely with research engineers and systems teams to ensure that research advances translate into scalable, reliable manipulation and loco-manipulation systems.

 

You will also contribute to FieldAI’s technical direction in robotics foundation models, including how models are architected, trained, evaluated, adapted, and deployed across robotic platforms. This role combines fundamental research with the opportunity to demonstrate meaningful advances on complex real-world robotic systems.

Why Join Field AI?
FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
 
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
 
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
 
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
 
Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

Required Skills

Multimodal

Frequently asked questions

Is the Senior Research Scientist - Manipulation position at Field AI remote?

The Senior Research Scientist - Manipulation role at Field AI is an on-site or hybrid position.

What type of employment is the Senior Research Scientist - Manipulation role?

Field AI is hiring for a full-time Senior Research Scientist - Manipulation position.

What skills are needed for the Senior Research Scientist - Manipulation job at Field AI?

Key skills for this role include Multimodal.

How do I apply for the Senior Research Scientist - Manipulation position at Field AI?

You can apply for the Senior Research Scientist - Manipulation role directly through Field AI's official application link provided on this page.

Interested in this role?

Apply directly on the company's website.

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Field AI

Field AI

Website
Posted02 Sep 2026
Typefulltime
LevelSenior
LocationBoston, MA
Apply NowView All Jobs at Field AI

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