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Machine Learning Engineer (Computer Vision & Robotics) - Series A Startup
Machine Learning Engineer (Computer Vision & Robotics) - Series A StartupEvolution USA • Boston, MA, United States
Machine Learning Engineer (Computer Vision & Robotics) - Series A Startup

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

Evolution USA • Boston, MA, United States
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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.

    #J-18808-Ljbffr

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