FieldAI · 5 hours ago
1.77 Robotics Research AI Engineer: Robot Learning
Boston, MA
Full-time
Hybrid
Senior Level
$70K/yr - $300K/yrFieldAI is transforming how robots interact with the real world by building advanced AI systems for robotics. The Robotics Research AI Engineer (Robot Learning) will design and deploy learning algorithms that enable robots to acquire new skills and contribute to research and training of foundation models, impacting robot capabilities in various real-world applications.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
Develop Robot Skill Learning Methods
Design and train algorithms that enable robots to acquire generalizable skills across diverse embodiments
Integrate reinforcement learning, imitation learning, and foundation models into real robot pipelines
Advance Robotics Foundation Models
Leverage and adapt VLMs and LLMs to robotics tasks, including perception, reasoning, and action planning
Explore large-scale pretraining and fine-tuning approaches tailored to embodied intelligence
Large-Scale Training and Deployment
Build and optimize large-scale distributed training pipelines using PyTorch and modern ML infrastructure
Deploy models onto real robots, bridging the gap between simulation and field-ready execution
Real-World Robotic Applications
Work on core challenges in traversability, mobile robotics, and manipulation
Collaborate with hardware engineers to validate algorithms in unstructured, high-variance environments
Research and Publication
Conduct cutting-edge research and publish in top robotics, AI, and machine learning venues
Contribute to the broader robotics research community while advancing Field AI’s mission
Qualification
Required
Strong research background (PhD, MS, or equivalent industry research experience) in Robotics, AI/ML, or related fields
Proficiency in robot learning methods (reinforcement learning, imitation learning, representation learning)
Experience with PyTorch and modern ML training frameworks
Hands-on experience with real robots (mobile platforms, manipulators, or other embodiments)
Strong foundation in large-scale distributed training and optimization
Ability to translate research into practical, field-deployable systems
Excellent problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams
Preferred
Publications in top-tier conferences/journals (CoRL, ICRA, IROS, NeurIPS, ICML, CVPR, etc.)
Experience deploying VLMs/LLMs in robotics pipelines
Background in 3D vision, mapping, or traversability analysis
Experience in sim-to-real transfer for manipulation and locomotion
Familiarity with modern robot middleware (ROS2, Isaac, etc.)
Strong software engineering practices (CI/CD, testing, scalable infrastructure)
Contributions to open-source robotics or ML frameworks
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
Founded in 2023
11-50 employees
H1B Sponsorship
FieldAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Leadership Team
Ali Agha
Founder and CEO
Recent News
Crunchbase News
2025-12-19
2025-10-16
Company data provided by crunchbase