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Machine Learning Engineer - Computer Vision & Robotics
Summary by AIEngineer.careers
Machine Learning Engineer - Computer Vision & Robotics is a Machine Learning Engineer role (full-time). with Tycho.AI. in CAMBRIDGE, US. Imported listing (source: builtinboston.com). Apply on the employer's site (builtinboston.com).
Imported listing (source: builtinboston.com) · Apply on builtinboston.com
CAMBRIDGE · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from builtinboston.com
Tycho.AI, an MIT spinout backed by DoD contracts, is hiring a Machine Learning Engineer to design and optimize computer vision and robotics ML models for autonomous systems operating in GPS-denied environments. The role involves building training pipelines, deploying models on embedded accelerators, and profiling on-device inference for latency and accuracy. Ideal candidates should have hands-on experience with PyTorch or TensorFlow and strong Python/C++ skills.
Responsibilities
- 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 in Python and/or C++.
- Stay current on state-of-the-art ML techniques and efficient edge deployment research in autonomy and perception.
Requirements
- 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.
Tycho.AI
Cambridge · US · 18+ employees
Tycho.AI is a dual-use technology company, spun out of MIT, that develops mission-critical autonomy software and optimized compute hardware for unmanned systems. It specializes in resilient navigation and edge autonomous intelligence for vehicles operating in GPS-denied and communications-contested environments.
