Machine Learning Engineer, Reinforcement Learning

Skild AI
Pittsburgh, San Mateo
Workplace: OnsiteFull timeUSD 100,000 - 300,000 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Analytical thinking"]

Design and implement reinforcement learning algorithms for robotic applications, run experiments, and optimize models for real-world robotic environments. Collaborate with robotics, research, and engineering teams to scale training methods, validate deployments, and push state-of-the-art RL techniques. This role shapes the intelligence of autonomous robots capable of learning tasks in unseen scenarios.

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FursaFursa
Skild AI
Skild AI
1 year ago

Machine Learning Engineer, Reinforcement Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Design and implement reinforcement learning algorithms for robotic applications, run experiments, and optimize models for real-world robotic environments. Collaborate with robotics, research, and engineering teams to scale training methods, validate deployments, and push state-of-the-art RL techniques. This role shapes the intelligence of autonomous robots capable of learning tasks in unseen scenarios.
Location: Pittsburgh, San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
  • •Design and conduct experiments to train RL models and conduct real-world tests.
  • •Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
  • •Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
  • •Analyze and interpret experimental results, iterating on model design to achieve desired performance.

Pay and Benefits

Salary: USD 100,000 - 300,000 annually

Key Requirements

  • •BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • •Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • •Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
  • •Strong background in algorithms, data structures, and software engineering principles.
  • •Experience with physics simulation engines and tools for training RL.
Experience:Reinforcement learningRoboticsMachine learning
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingAnalytical thinking
Languages:English
Tech Stack:PythonC++PyTorchTensorFlowJAXReinforcement learningMachine learning

Company Brief

Skild AI
Develops AI-driven solutions focused on applying machine learning to automate and enhance business workflows, delivering predictive insights and intelligent automation for enterprise use cases.
Industry: AI & Machine Learning
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