Machine Learning Engineer - Robot Manipulation

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{
  "title": "Machine Learning Engineer - Robot Manipulation",
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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 Manipulation to design, implement, test, and deploy robot manipulation algorithms that enable assembly and material movement tasks.\n\nIn this role you will:\n- Design and implement machine learning algorithms, with a focus on reinforcement learning (RL) and imitation learning (IL), to enable robotic manipulators to perform complex tasks in dynamic environments.\n- Translate high-level objectives into machine learning problems and deploy robust, scalable models to real-world robotic systems.\n- Integrate your ML solutions into existing robotics workflows, ensuring that models are performant in both simulated and real-world settings.\n- Drive innovation by incorporating the latest research in machine learning into practical applications that push the boundaries of robotic manipulation.\n- Take ownership of critical ML projects, seeing them through from conception to successful deployment.\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 manipulation algorithms for industrial applications",
      "value_type": "short_text"
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    {
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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 practical experience in training and deploying machine learning models for real-world applications.\n- Deep understanding of reinforcement learning (RL) and imitation learning (IL) and their application to robotics.\n- Proficiency in programming languages and tools commonly used in machine learning (e.g., Python, PyTorch).\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-- Designing and implementing reward functions for complex manipulation tasks.\n-- Developing models that can handle noisy, incomplete, or sparse data.\n-- Deployment of ML models to edge devices for real-time inference.\n-- Accelerating ML training processes using GPU, TPU, or other HW accelerators.\n-- Using reinforcement learning frameworks, e.g. Stable Baselines, RLlib, or similar.\n- General knowledge of robotics principles, including kinematics, dynamics, and control.\n- Publications or contributions to the machine learning community, particularly in areas related to robotics or reinforcement learning.",
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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": 4061273008,
  "first_published": "2024-10-02T01:15:10-04:00",
  "application_deadline": null
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