Edge ML Engineer - Vision & Robotics for Autonomy

Tycho.AI; Cambridge (MA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Tycho.AI is a rapid-growth startup spun out of MIT, building autonomy software for unmanned systems and logistics challenges. We design and optimize ML models for computer vision and robotics, with training pipelines and model compression for embedded hardware.

You will implement efficient Python and C++ code, collaborate across teams, and stay at the cutting edge of autonomous perception research, SLAM, and real-time inference.

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

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 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 edge deployment research in autonomy and perception.

Skills

Machine Learning

Computer Vision

Robotics

PyTorch

TensorFlow

Python

C++

Git

Education

Bachelor's or higher in CS or Engineering

Tools

ONNX

TensorRT

OpenVINO

ROS2

Job description

Tycho.AI is a rapid-growth startup spun out of MIT, building autonomy software for unmanned systems and logistics challenges. We design and optimize ML models for computer vision and robotics, with training pipelines and model compression for embedded hardware.

You will implement efficient Python and C++ code, collaborate across teams, and stay at the cutting edge of autonomous perception research, SLAM, and real-time inference.