Machine Learning Engineer

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

Design and implement reinforcement learning algorithms for robotic applications, collaborate with robotics and research teams, and optimize models for real-world autonomous robots. You will run experiments, scale training, and help deploy robust RL systems, staying current with the latest RL research while iterating to improve performance.

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FursaFursa
Skild AI
Skild AI
10 months ago

Machine Learning Engineer

✓ 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, collaborate with robotics and research teams, and optimize models for real-world autonomous robots. You will run experiments, scale training, and help deploy robust RL systems, staying current with the latest RL research while iterating to improve performance.
Location: San Mateo, Pittsburgh
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 in Computer Science, Robotics, Engineering or related field, or equivalent practical experience.
  • •Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, or JAX.
  • •Deep understanding and practical experience with various reinforcement learning algorithms (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:RoboticsReinforcement learning
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:PythonC++PyTorchTensorFlowJAXReinforcement learningPhysics simulation

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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