Job Title: Senior ML Research EngineerLocation: Onsite – New York City, NYCompensation: Up to $300,000 base salary + equity (up to 2.5%)
A New York-based robotics startup on a mission to bring humanoid robots into the real world — no complex infrastructure, no expert configuration. The robots are built to be deployed same-day, with intuitive teaching interfaces that allow users to train new tasks without needing a background in robotics.
Well-funded, backed by world-class investors, and currently raising a large Series A to support next growth phase.
The RoleWe’re looking for a Senior Machine Learning Research Engineer who thrives at the intersection of robotics, deep learning, and real-world deployment. You’ll play a pivotal role in developing, training, and optimising state-of-the-art ML models that power the robots’ ability to learn, grasp, manipulate, and adapt to new environments.This is a highly technical, hands-on role — ideal for someone who loves getting models to run on real hardware and solving challenges in low-latency inference, sensor integration, and learning-based control.
What You'll DoDesign and train cutting-edge ML/DL/RL models with applications in robotic learning, grasping, and manipulationApply techniques such as Visual-Language-Action (VLA) and Imitation Learning to enable task generalisation and ease of instructionOptimise and deploy models to run efficiently on real-time robotic systemsWork directly with sensors, calibrating vision, touch, and force feedback systemsCollaborate with cross-functional teams across hardware, software, and product to deliver robotic behaviours that are robust and reliable in the real worldStay ahead of the curve on the latest advancements in ML for robotics, and help shape the long-term research roadmap
About YouReal-world experience in Machine Learning, with a strong track record in roboticsHands-on experience in robotic manipulation or controlProficient in ML/DL frameworks (e.g., PyTorch, TensorFlow) and deployment toolsExperience with reinforcement learning, imitation learning, or foundation models for roboticsExperience deploying ML models onto real hardware, and working with robotics sensors (e.g., cameras, force-torque sensors, depth sensors)Strong understanding of model optimisation techniques for real-time, low-latency inferencePhD or MS in Robotics, Computer Science, or a related field preferred
Why Join UsBe part of a founding team building the next generation of humanoid robotsWork on meaningful technical problems that blend AI, embodiment, and human collaborationCompetitive compensation and meaningful equityCollaborate with some of the brightest minds in AI and roboticsWork onsite in a high-energy environment in New York City, where the hardware is real, and progress is fast
Note: This role requires relocation to or residence in New York City. We believe in the power of high-bandwidth, in-person collaboration — especially when it comes to robotics.
