Machine Learning Engineer - Computer Vision & Robotics

The role

This person will design and optimize ML models for computer vision and robotics. They will build training pipelines and deploy models for embedded accelerators.

What you will do

• Design and optimize ML models for computer vision and robotics under tight compute and memory budgets
• Build robust training and fine-tuning pipelines for large-scale datasets
• Compress, accelerate, and deploy models for embedded accelerators
• Profile and tune on-device inference pipelines for latency, throughput, and accuracy
• Write clean, efficient, and maintainable code across Python and/or C++
• Stay current on state-of-the-art ML techniques and efficient edge deployment research

Required qualifications

• Bachelor's or advanced degree in Computer Science, Engineering, or related field
• Hands-on experience applying ML to computer vision and/or robotics
• Proficiency with PyTorch or TensorFlow
• Strong coding skills in Python or C++
• Experience deploying ML models and building training pipelines
• Familiarity with Git and collaborative software development practices

Nice to have

• CUDA kernel development and model optimization (quantization, pruning, distillation)
• Experience with ONNX, TensorRT, or OpenVINO for deployment
• Robotics middleware (ROS2)
• SLAM, 3D perception, or sensor fusion (LiDAR, IMU)
• Real-time or low-latency inference pipelines

Benefits

• Competitive salary
• Meaningful equity
• Generous benefits package

Before you apply

• Must be authorized to work in the U.S.
• May be subject to a government security clearance process

About the company

Tycho.AI is a fast-growing, dual-use technology company spun out of MIT. They build AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments.