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# Machine Learning Engineer - Computer Vision & Robotics

- **Company:** TYCHO AI INC.
- **Location:** Cambridge, MA, United States
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Computer Vision, Big Data, C++ (Programming Language), Program Optimization, Collaborative Software, Nvidia CUDA, Middleware, Python (Programming Language), Linux Kernel, Machine Learning, Tensorflow, Sensor Fusion, Pytorch, Git, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, Software Coding, Lidar
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=441d38ed4ae9d8ba

## About the Role

* 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.

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., E-Verify and Right to Work: Tycho AI participates in E-Verify to confirm work authorization in the United States. Applicants must be authorized to work in the U.S. and may be subject to a government security clearance process.

## Description

* 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, and maintainable code across Python and/or C++.
 * Stay current on state-of-the-art ML techniques and efficient edge deployment research in autonomy and perception


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