Cubiq Recruitment
Overview
Job Title: Senior ML Research Engineer Location: Onsite – New York City, NY Compensation: Up to $300,000 base salary + equity (up to 2.5%) About the Company
A New York‑based robotics startup on a mission to bring humanoid robots into the real world. 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. Role
We’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 Do
Design and train cutting‑edge ML/DL/RL models with applications in robotic learning, grasping, and manipulation Apply techniques such as Visual‑Language‑Action (VLA) and Imitation Learning to enable task generalisation and ease of instruction Optimise and deploy models to run efficiently on real‑time robotic systems Work directly with sensors, calibrating vision, touch, and force feedback systems Collaborate with cross‑functional teams across hardware, software, and product to deliver robotic behaviours that are robust and reliable in the real world Stay ahead of the curve on the latest advancements in ML for robotics, and help shape the long‑term research roadmap About You
Real‑world experience in Machine Learning, with a strong track record in robotics Hands‑on experience in robotic manipulation or control Proficient in ML/DL frameworks (e.g., PyTorch, TensorFlow) and deployment tools Experience with reinforcement learning, imitation learning, or foundation models for robotics Experience 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 inference PhD or MS in Robotics, Computer Science, or a related field preferred Why Join Us
Be part of a founding team building the next generation of humanoid robots Work on meaningful technical problems that blend AI, embodiment, and human collaboration Competitive compensation and meaningful equity Collaborate with some of the brightest minds in AI and robotics Work onsite in a high‑energy environment in New York City, where the hardware is real, and progress is fast Relocation
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.
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Job Title: Senior ML Research Engineer Location: Onsite – New York City, NY Compensation: Up to $300,000 base salary + equity (up to 2.5%) About the Company
A New York‑based robotics startup on a mission to bring humanoid robots into the real world. 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. Role
We’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 Do
Design and train cutting‑edge ML/DL/RL models with applications in robotic learning, grasping, and manipulation Apply techniques such as Visual‑Language‑Action (VLA) and Imitation Learning to enable task generalisation and ease of instruction Optimise and deploy models to run efficiently on real‑time robotic systems Work directly with sensors, calibrating vision, touch, and force feedback systems Collaborate with cross‑functional teams across hardware, software, and product to deliver robotic behaviours that are robust and reliable in the real world Stay ahead of the curve on the latest advancements in ML for robotics, and help shape the long‑term research roadmap About You
Real‑world experience in Machine Learning, with a strong track record in robotics Hands‑on experience in robotic manipulation or control Proficient in ML/DL frameworks (e.g., PyTorch, TensorFlow) and deployment tools Experience with reinforcement learning, imitation learning, or foundation models for robotics Experience 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 inference PhD or MS in Robotics, Computer Science, or a related field preferred Why Join Us
Be part of a founding team building the next generation of humanoid robots Work on meaningful technical problems that blend AI, embodiment, and human collaboration Competitive compensation and meaningful equity Collaborate with some of the brightest minds in AI and robotics Work onsite in a high‑energy environment in New York City, where the hardware is real, and progress is fast Relocation
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.
#J-18808-Ljbffr