Research Engineer

Skild AI
Pittsburgh, San Mateo
Workplace: OnsiteFull timeUSD 100,000 - 300,000Function: Research & Scientific (R&D)Education: bachelorsSkills: ["Problem-solving","Collaboration","Teamwork"]

Research Engineer at Skild AI develops scalable robotic systems and advances general-purpose robotic intelligence by turning research into practical, deployable solutions. You’ll work with researchers and engineers to implement state-of-the-art ML and robotics techniques, design scalable systems, and optimize models for real-world robotic deployments, contributing to multi-disciplinary research across perception, robotics, RL/IL, and computer vision.

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Skild AI
Skild AI
1 year ago

Research Engineer

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

Job Summary

Research Engineer at Skild AI develops scalable robotic systems and advances general-purpose robotic intelligence by turning research into practical, deployable solutions. You’ll work with researchers and engineers to implement state-of-the-art ML and robotics techniques, design scalable systems, and optimize models for real-world robotic deployments, contributing to multi-disciplinary research across perception, robotics, RL/IL, and computer vision.
Location: Pittsburgh, San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Develop and implement new algorithms for training and optimizing general-purpose robot foundation models.
  • •Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets.
  • •Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/IL, Machine Learning, etc.).
  • •Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications.
  • •Optimize machine learning models for real-world robotic systems.

Pay and Benefits

Salary: USD 100,000 - 300,000

Key Requirements

  • •BS, MS or PhD in Computer Science, Robotics, Engineering or related field, or equivalent practical experience
  • •Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, or JAX
  • •Strong track record of publishing papers and/or deploying real-world applications
  • •Deep technical knowledge and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision
  • •Experience working with robot systems and large-scale model training
Experience:RoboticsMachine learningAIResearch
Education:Bachelor's
Skills:Problem-solvingCollaborationTeamwork
Languages:English
Tech Stack:PythonPyTorchTensorFlowJAX

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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