Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
About the Job
We are looking for a Research Engineer for our humanoid manipulation efforts. In this role, you’ll work at the intersection of robotics research and applied engineering—building, testing, and refining manipulation capabilities that will accelerate autonomous control and loco-manipulation of humanoids. You’ll collaborate closely with engineers, research scientists, and product leads to conceptualize and design novel manipulation strategies, develop experimental platforms, and deliver impactful systems that directly feed into Field AI’s robot learning pipelines.
Crucially, you will also play a key role in pushing the frontiers of development of robotics foundation models —designed to be embodiment agnostic , with your initial efforts focused on humanoid platforms. This role is about steering the frontiers of robotics research toward practical, real-world use cases, ensuring that breakthroughs in humanoid manipulation translate into scalable autonomy for robots of diverse forms.
What You’ll Get To Do
• 1. Advance Humanoid Manipulation Research & Development
• Drive humanoid manipulation projects from ideation to deployment.
• Design, prototype, and evaluate manipulation strategies across diverse tasks.
• 2. Build Systems that Bridge Research & Deployment
• Translate research insights into working robotic systems for real-world use.
• Ensure systems are robust, reproducible, and aligned with data-collection needs.
• 3. Drive Robotics Foundation Model Development
• Contribute to large-scale data collection and learning pipelines powering foundation models.
• Ensure model development remains embodiment agnostic, enabling transfer across diverse robotic platforms.
• Collaborate with research scientists to integrate manipulation data into scalable robot learning systems.
• 4. Collaborate Across Disciplines
• Partner with mechanical/electrical engineers on robot hardware integration.
• Work with teleoperators to refine interfaces and improve manipulation outcomes.
• Act as a bridge between autonomy research and applied robotics.
• 5. Rapidly Iterate & Deliver
• Prototype quickly and run experiments in the field.
• Balance research exploration with fast, tangible progress for immediate goals.
The Extras That Set You Apart
• Experience with humanoid robots or multi-fingered robotic hands.
• Prior work in learning-based manipulation (imitation learning, reinforcement learning, etc.).
• Familiarity with teleoperation systems and human-robot interaction.
• Publications or open-source contributions in robotics conferences/journals.
• Experience with large-scale data collection and dataset management.
• Passion for bridging research frontiers with practical, field-ready robotics.