Machine Learning Engineer - Computer Vision & Robotics

Sourced from feeny.ai

Tycho.AI, an MIT spin-out backed by DoD contracts, is building autonomous intelligence for unmanned systems in GPS-denied environments. As a Machine Learning Engineer, you will design and optimize computer vision and robotics models for edge deployment under tight compute and memory budgets. The role spans training pipelines, model compression, and on-device inference tuning across Python and C++.

• 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 (quantization, distillation) for embedded accelerators (NPU/TPU/GPU delegates)
• Profile and tune on-device inference pipelines for latency, throughput, and accuracy
• Write clean, efficient, maintainable code in Python and/or C++
• Stay current on state-of-the-art ML and efficient edge deployment research

• 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++ (ideally both)
• Experience deploying ML models and building training pipelines
• Familiarity with Git and collaborative software development practices

• 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