--- title: 'Senior Research Scientist - Manipulation at FieldAI' canonical: 'https://feeny.ai/job/senior-research-scientist-manipulation-fieldai-boston-8h1zj4q3yksc' type: 'job' last_seen: '2026-09-07' --- # Senior Research Scientist - Manipulation at FieldAI - **Company:** FieldAI - **Location:** Boston, MA - **Compensation:** $150k–$300k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-02 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/field-ai/da3b1a5c-93f6-41f1-a18a-1342adbb3ec0 ## Job description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. We are seeking a Research Engineer to join our manipulation efforts. In this role, you will work at the intersection of robotics research and applied engineering, building, training, testing, and refining large-scale learned manipulation models and capabilities that accelerate autonomous control and loco-manipulation on humanoid robots. You will collaborate closely with research scientists, engineers, and product partners to design novel manipulation strategies and deliver systems that directly feed into FieldAI’s robot learning pipelines. You will also play a key role in advancing robotics foundation models designed to be generalizable across embodiments, with an initial focus on humanoid platforms. The work will emphasize combinations of learned and physically-grounded models, alongside the data and training systems required to scale them. This role is about pushing the frontier of manipulation research while ensuring that breakthroughs translate into practical, scalable autonomy in real-world environments. ## What You’ll Get To Do - Advance Humanoid Manipulation Research - Help lead high-impact research projects in general-purpose humanoid manipulation and loco-manipulation. - Develop novel model architectures, learning objectives, action representations, and training methods for large-scale robot learning. - Establish strong baselines, evaluation protocols, and benchmarks for manipulation performance and generalization. Advance Robotics Foundation Models - Research large-scale VLAs and other multimodal behavior models that connect perception, language, reasoning, and continuous robot action. - Develop imitation-learning and reinforcement-learning methods for improving robustness, precision, dexterity, and long-horizon task performance. - Investigate model adaptation, temporal abstraction, memory, uncertainty, data efficiency, and compositional skill learning. - Study how model performance scales with architecture, data quantity, data quality, task diversity, and embodiment diversity. - Develop methods for transferring capabilities across robots while accounting for embodiment-specific sensing and control constraints. Drive Real-World Deployment and Validation - Lead research projects from initial hypothesis through large-scale training, deployment, and validation on physical humanoid robots. - Design real-world experiments that expose model limitations and measure generalization under realistic environmental variation. - Analyze failures at the level of data, representations, policy behavior, perception, and control. - Use insights from robot deployments to guide new research questions and model improvements. - Demonstrate learned capabilities across dexterous manipulation, bimanual coordination, and loco-manipulation tasks. Translate Research Into Scalable Systems - Partner with research engineers to turn new algorithms into reproducible training pipelines and reliable robot capabilities. - Help define data-collection strategies, dataset composition, evaluation standards, and model-development priorities. - Provide technical leadership across research projects and mentor other researchers and engineers. - Communicate findings clearly through internal technical reviews, publications, presentations, and open-source releases where appropriate. - Balance longer-term research efforts with advances that support FieldAI’s near-term autonomy roadmap. ## What You Have - PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, Mechanical Engineering, or a closely related field. - A strong research record in robot learning, robotic manipulation, reinforcement learning, imitation learning, multimodal learning, or a related area. - Demonstrated ability to lead research projects from an initial technical question through rigorous experimental validation. - Deep expertise in at least one relevant area, such as foundation models, VLAs, generative policies, reinforcement learning, imitation learning, or multimodal foundation models. - Experience training and evaluating modern deep-learning models using PyTorch. - Strong understanding of robotic manipulation, including relevant aspects of kinematics, dynamics, control, perception, and planning. - Experience deploying and evaluating learning-based methods on physical robotic systems. - Strong experimental judgment, including the ability to design informative ablations, baselines, metrics, and evaluation protocols. - A track record of publications or equivalent research impact in leading robotics or machine-learning venues. - Ability to communicate research ideas clearly and collaborate effectively across research, engineering, systems, and product teams. The Extras That Set You Apart - Research experience with humanoid robots, bimanual systems, or multi-fingered robotic hands. - Experience developing robotic foundation models, multimodal transformers, diffusion or flow-based policies, or other large behavior models. - Experience with reinforcement-learning fine-tuning, offline RL, reward modeling, preference learning, or autonomous policy improvement. - Research on cross-embodiment transfer, multi-robot learning, or embodiment-general action representations. - Experience developing or studying large-scale robotics datasets and data-scaling strategies. - Experience combining autonomous rollouts, simulation, web-scale data, teleoperated data, and other heterogeneous data sources. - Experience leading collaborations spanning algorithm development, infrastructure, and real-robot deployment. 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. ## About FieldAI ## Company Overview - **One-liner**: FieldAI is building the first risk-aware, physics-first foundation model (the Field Foundation Model) that makes robots autonomous in complex, unstructured, and safety-critical real-world environments. - **Entity Type**: Private (latest funding: Venture Round / Corporate Round; total funding ~$497M) - **Headquarters**: Irvine, California, United States (with an office in Mission Viejo) - **Founded**: 2023 (originally known as "AI for Humanity") - **Founders**: Dr. Ali Agha (CEO) – former NASA JPL Principal Investigator and DARPA challenge winner; Dr. Shayegan Omidshafiei (President & Chief Scientific Officer) – former DeepMind Research Scientist ## Core Business - **Primary industry**: Robotics Engineering / Artificial Intelligence (Embodied AI) - **Target customers**: B2B, Enterprise, Government / Federal agencies, Commercial field operators (construction, industrial, urban operations, mission-critical) - **Mission / purpose**: "Deploy autonomous robots at scale in any unstructured environment" without reliance on GPS, maps, or pre-trained routes. ## Products & Services - **[Field Foundation Model (FFM)](https://www.fieldai.com/careers)**: An AI platform that acts as the "general-purpose brain" for robots. It combines data-driven learning with physics-based methods, assesses uncertainty, establishes risk, and adapts autonomously in field conditions. Works across any robot type and continuously improves through a virtuous data flywheel. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric (Total Funding)**: ~$497M across multiple rounds (Seed: $91M, Venture rounds, Corporate round led by Hyundai Motor Group, Series A: $980K led by Temasek Holdings and Prysm Capital) [[linkedin.com](https://www.linkedin.com/company/fieldai)] [[cbinsights.com](https://www.cbinsights.com/company/field-ai)] - **Notable Investors / Partners**: Hyundai Motor Group (corporate round lead), Temasek Holdings, Prysm Capital, plus other visionary institutions. - **Growth Signals**: - Headcount of 217 employees (+227.8% YoY) [[linkedin.com](https://www.linkedin.com/company/fieldai)] - LinkedIn followers grew +580.4% in the last year (51,728 total) [[linkedin.com](https://www.linkedin.com/company/fieldai)] - Technology deployed globally for a decade – from 900 feet underground to advanced commercial, federal, and mission-critical operations [[fieldai.com/careers](https://www.fieldai.com/careers)] - Won segments of the DARPA Subterranean Challenge (Urban phase) [[fieldai.com/team](https://www.fieldai.com/team)] ## Competitive Advantages - **First risk-aware, physics-first foundation model** – unlike pure data-driven or transformer-only approaches. - **Field-proven reliability** – systems work without GPS, maps, or pre-programmed routes, and dynamically adapt to uncertainty. - **Virtuous data flywheel** – each deployment increases model reliability across the entire fleet. - **Exceptional team** – drawn from DeepMind, NASA JPL, Boston Dynamics, Nvidia, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX [[fieldai.com/team](https://www.fieldai.com/team)] - **Strong IP & DARPA pedigree** – led by veterans who have shaped the field of autonomous robotics for nearly two decades. ## Strategic Focus - **Scale deployment** of the Field Foundation Model across commercial, industrial, and federal sectors. - **Expand federal division** (FieldAI Federal) led by former DARPA PM and Toyota Research Institute exec Dr. Eric Krotkov [[fieldai.com/team](https://www.fieldai.com/team)] - **Hire top-tier talent** in embodied AI, software engineering, robotics hardware, and field operations to accelerate product development and real-world impact [[fieldai.com/careers](https://www.fieldai.com/careers)] ## Why Work Here - **Impact**: Directly shape how intelligent systems operate in the real world – from underground mines to urban search-and-rescue. - **Culture**: "Creativity, resilience, and bold thinking" – a supportive environment that encourages pushing beyond conventional methods [[fieldai.com/careers](https://www.fieldai.com/careers)]. - **Team**: Work alongside world-class researchers and engineers from DeepMind, NASA JPL, Boston Dynamics, and leading autonomy companies. - **Resources**: Backed by over $100M in funding with strong institutional support – rapid execution and fast-paced growth. - **Work model**: Likely office-centric given the hardware/robotics focus; headquarters in Irvine, CA, with a distributed presence across 9 countries (US, India, Singapore, Japan, Spain, etc.) [[linkedin.com](https://www.linkedin.com/company/fieldai)]. - **Perks / recognition**: Rated 4.5/5 on employer reviews (16 reviews), with top marks for Culture (4.3) and Career (4.4) [[linkedin.com](https://www.linkedin.com/company/fieldai)]. ## Sources 1. [fieldai.com/careers](https://www.fieldai.com/careers) 2. [linkedin.com/company/fieldai](https://www.linkedin.com/company/fieldai) 3. [fieldai.com/team](https://www.fieldai.com/team) 4. [cbinsights.com/company/field-ai](https://www.cbinsights.com/company/field-ai) 5. [jobs.lever.co/field-ai](https://jobs.lever.co/field-ai) ## Other roles at FieldAI - [3D/AR/VR Software Engineer](https://feeny.ai/job/3d-ar-vr-software-engineer-fieldai-boston-v0p9bqjj56pr) — Boston, MA - [Robotics Autonomy Engineer - Safety](https://feeny.ai/job/robotics-autonomy-engineer-safety-fieldai-irvine-hng0ewn9dtrm) — Irvine, CA - [Robotics Autonomy Engineer - Manipulation](https://feeny.ai/job/robotics-autonomy-engineer-manipulation-fieldai-irvine-3dnpmkzzg67e) — Irvine, CA - [Robotics Autonomy Engineer - Triage](https://feeny.ai/job/robotics-autonomy-engineer-triage-fieldai-irvine-h00v2ts6a9c6) — Irvine, CA - [Manager, Field Operations - Industrial Sectors](https://feeny.ai/job/manager-field-operations-industrial-sectors-fieldai-irvine-eyafgexbdhpv) — Irvine, CA - [Senior/Staff Software Engineer, Robotics Platform](https://feeny.ai/job/senior-staff-software-engineer-robotics-platform-fieldai-irvine-ybbvw5cxmkrq) — Irvine, CA - [Senior Research Engineer - Manipulation](https://feeny.ai/job/senior-research-engineer-manipulation-fieldai-boston-he34ymg0sy1e) — Boston, MA - [Enterprise Account Executive, Construction](https://feeny.ai/job/enterprise-account-executive-construction-fieldai-irvine-s5cve3mw03tt) — Irvine, CA - [Senior Perception Engineer](https://feeny.ai/job/senior-perception-engineer-fieldai-irvine-7fwdkbpr8q4f) — Irvine, CA - [Field Application Engineer - Sterling, VA - Temporary Part Time](https://feeny.ai/job/field-application-engineer-sterling-va-temporary-part-time-fieldai-sterling-k0qy3vx7mye6) — Sterling, VA