Research Engineer, Post-training & Deployment

Skild AI
San Mateo
Workplace: OnsiteFull timeUSD 100,000 - 300,000 annuallyFunction: Education & TrainingSkills: ["Collaboration","Communication","Problem-solving"]

As a Research Engineer on the post-training team, you will improve Skild’s foundation models and deploy them onto robots in the field. You’ll work with customers and deployment data to ensure reliable, safe robot behavior in real-world environments, bridging lab performance to on-site deployments, and building end-to-end testing, data collection, and performance pipelines to continuously advance robotic capabilities.

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FursaFursa
Skild AI
Skild AI
1 year ago

Research Engineer, Post-training & Deployment

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Last checked: 22 hours agoStatus: Live

Job Summary

As a Research Engineer on the post-training team, you will improve Skild’s foundation models and deploy them onto robots in the field. You’ll work with customers and deployment data to ensure reliable, safe robot behavior in real-world environments, bridging lab performance to on-site deployments, and building end-to-end testing, data collection, and performance pipelines to continuously advance robotic capabilities.
Location: San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training

Key Responsibilities

  • •Research, post-train and evaluate large deep learning models for robotic manipulation tasks.
  • •Develop frameworks to continuously improve robot behaviors.
  • •Collaborate with product teams to source and iterate on customer requirements for on-site deployments.
  • •Own scenario setup and data collection methodologies, managing the operational lifecycle for unique customer use-cases.
  • •Work with robotics teams to maintain deployment readiness and execute full-stack software and hardware deployments at customer sites.

Pay and Benefits

Salary: USD 100,000 - 300,000 annually

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 (e.g., PyTorch, TensorFlow, JAX)
  • •Deep technical knowledge in computer vision and deep learning for robotics (reinforcement and imitation learning)
  • •Prior experience with large-scale model training
  • •Prior experience developing and deploying ML models or software on real robots, and with ROS/ROS2 or other robotics middleware platforms
Experience:RoboticsMachine learningComputer vision
Skills:CollaborationCommunicationProblem-solving
Languages:English
Tech Stack:PythonPyTorchTensorFlowJAXROSROS2Computer visionReinforcement learningImitation 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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