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Evolution USA

Machine Learning Engineer (Computer Vision & Robotics) - Series A Startup

Evolution USA, Boston, Massachusetts, us, 02298

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Machine Learning Engineer (Computer Vision & Robotics) - Series A Startup This range is provided by Evolution USA. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $150,000.00/yr - $300,000.00/yr

Additional compensation types Stock options

What You’ll Do

Design, train, and deploy ML models for advanced computer vision and robotic perception.

Build large-scale training pipelines and tune models for performance and reliability.

Integrate ML systems into real-world hardware platforms, turning research into production.

Collaborate with some of the brightest minds in AI and autonomy.

Write clean, efficient code in Python and/or C++, and stay ahead of the curve with state-of-the-art techniques.

What You Bring

A degree in Computer Science, Engineering, or similar field.

Proven hands-on experience applying ML to computer vision and/or robotics problems.

Proficiency with PyTorch or TensorFlow.

Strong coding skills in Python or C++ (ideally both).

Experience deploying ML models and building scalable training pipelines.

Familiarity with modern development tools (Git, CI/CD, etc.).

Bonus points if you’ve worked with: CUDA kernel optimization, ONNX/TensorRT/OpenVINO, ROS2, SLAM, sensor fusion, or real-time inference pipelines.

Why You’ll Love It Here

Work at the bleeding edge of AI and robotics innovation.

Collaborate with engineers and researchers from leading institutions.

Directly impact real-world autonomous missions and commercial deployments.

Competitive salary, meaningful equity, and comprehensive benefits (medical, 401(k), pet insurance, and more).

Seniority level Mid-Senior level

Employment type Full-time

Job function Information Technology

Industries Defense and Space Manufacturing and Robotics Engineering

If you’re passionate about machine learning, robotics, and real-world impact, this is your chance to build something that truly matters. Apply now and help define the next generation of autonomous intelligence.

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