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Engineer/Senior Machine Learning Integration Engineer

Jobgether

$142,000 - $225,000
Dec 10, 2025
Remote, US
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The partner company of Jobgether is looking to solve the problem of deploying advanced machine learning models in real-time autonomous systems, specifically in optimizing and maintaining ML-driven motion planning and control algorithms for vehicles.

Requirements

  • Hands-on experience deploying ML systems on real-world robotics, embedded, or autonomous platforms.
  • Strong software engineering skills in C++ and Python, including testing, code reviews, and CI/CD practices.
  • Experience with ML frameworks such as PyTorch or TensorFlow, including model optimization for deployment.
  • Familiarity with GPU acceleration and inference optimization tools like TensorRT or CUDA.
  • Strong problem-solving skills with the ability to debug complex systems under production constraints.
  • Experience with autonomous vehicle motion planning and control algorithms (MPC, LQR, PID)
  • Experience with ROS, AUTOSAR, reinforcement learning methods, or publications in relevant ML/robotics conferences.

Responsibilities

  • Deploy ML-based motion planning and control models onto vehicle platforms, ensuring performance under computational and memory constraints.
  • Optimize models for inference speed, latency, and resource efficiency without compromising accuracy or safety.
  • Integrate ML components with motion planning, controls, and perception systems in the autonomous driving stack.
  • Build scalable deployment infrastructure, including evaluation pipelines, model packaging, benchmarking, and automated validation.
  • Validate model performance through both simulation and on-road testing, analyze results, and iterate on improvements.
  • Maintain production-quality code in C++ and Python, following modern software development practices.
  • Collaborate across teams to ensure models meet strict performance and safety requirements.

Other

  • BS/MS/PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Fully remote work environment.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan with company match.
  • Life and disability insurance options.