ML Researcher

About Nidus

Today, we design industrial equipment for human operators. As fewer Americans choose to work in manufacturing, we need to automate factory operations.

The Role

We are seeking a Staff Machine Learning Researcher to drive the development of advanced ML systems for robotics and manufacturing applications.

Key Responsibilities

• Model Development: Design, implement, and optimize machine learning models for robotics applications, including computer vision, force control, and motion planning systems.
• Research & Innovation: Stay current with the latest developments in physical AI and apply cutting-edge techniques to solve practical robotics challenges.
• Performance Optimization: Ensure models meet real-time performance requirements and achieve production-level accuracy.

Required Qualifications

• 7+ years of experience in machine learning engineering, with experience in robotics or physical AI systems.
• Strong foundation in ML frameworks (PyTorch, TensorFlow) and experience optimizing models for performance on Nvidia GPUs.
• Expertise in computer vision, sensor fusion, or reinforcement learning for robotics applications.
• Experience with robotic systems and understanding of force control, motion planning, or manipulation.
• Strong problem-solving skills and ability to work in a fast-paced startup environment.

Preferred Qualifications

• Experience with robotics ML algorithms and Vision Language Action Models.
• Track record of deploying ML systems in manufacturing or production environments.
• Publications in top-tier ML/robotics conferences.
• Experience with low-level hardware interfaces and real-time control systems.

Location

This position is in-person in New York City. We are not hiring remotely at this time.

Apply

Send us a short note — tell us who you are, what draws you to this role, and what you’ve built that you’re proud of. No cover letter required. A GitHub, personal site, or portfolio is welcome but not mandatory.

📬 Email us at [email protected]