Machine Learning Engineer - Robot Perception

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{
  "title": "Machine Learning Engineer - Robot Perception",
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      "name": "Work Arrangement",
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      "name": "Team",
      "value": "Artificial intelligence engineering",
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      "id": 5149277008,
      "name": "Job Description",
      "value": "We are looking to recruit an exceptional Machine Learning Engineer - Robot Perception to design, implement, test, and deploy robot perception algorithms that power our robots’ ability to understand and interact with the world.\n\nIn this role you will:\n- Develop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding.\n- Integrate sensor fusion techniques using cameras, depth sensors, IMUs, and tactile feedback.\n- Optimize real-time perception pipelines for low-latency and robust performance in dynamic environments.\n- Work closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment.\n- Contribute to our broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control.\n- Collaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers.",
      "value_type": "long_text"
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    {
      "id": 5187056008,
      "name": "Job Description Summary",
      "value": "Design, implement, test and deploy robot perception algorithms for industrial applications",
      "value_type": "short_text"
    },
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      "name": "Job Qualifications",
      "value": "Must-have:\n- MS or PhD in machine learning, computer science, robotics, or a related field.\n- Strong background in computer vision, deep learning, and sensor fusion.\n- Proficiency in Python and C++, with experience in frameworks like PyTorch, TensorFlow, OpenCV, and ROS.\n- Hands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception).\n- Experience working with hardware, including setting up and calibrating cameras, LiDAR, and other sensors.\n- Experience with data collection, preprocessing, and management in the context of training ML models.\n- Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.\n- Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.\n\nNice-to-have:\n- Familiarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.\n- Experience in:\n-- Developing models that can handle noisy, incomplete, or sparse data.\n-- Deployment of ML models to edge devices for real-time inference (e.g., NVIDIA Jetson).\n-- Accelerating ML training processes using GPU, TPU, or other HW accelerators.\n- General knowledge of robotics principles, including kinematics, dynamics, and control.",
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  "updated_at": "2026-02-02T13:28:20-05:00",
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      "name": "Engineering",
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  "company_name": "Maven Robotics",
  "requisition_id": 4176819008,
  "first_published": "2025-03-06T01:01:11-05:00",
  "application_deadline": null
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