✦ Luna Orbit — AI & Machine Learning

Staff Machine Learning Engineer, Robotics

at Johnson & Johnson

📍 Santa Clara, California, United States of America Hybrid 💰 $141K – $227K USD / year Posted March 13, 2026
Salary $141K – $227K USD / year
Type Full-Time
Experience senior
Exp. Years Not specified
Education PhD/MS in Machine Learning, Computer Science
Category AI & Machine Learning

This role involves developing and deploying machine learning algorithms for surgical robotics, focusing on improving performance and safety in unstructured environments.

  • Develop ML algorithms for surgical manipulation
  • Build data pipelines for training and deployment
  • Leverage simulation for prototyping
  • Optimize models for real-time robotic hardware
  • Collaborate with software teams on deployment

The technical scope includes AI/ML model development, simulation, data pipeline creation, and deployment on robotic surgical hardware, utilizing tools like TensorFlow and PyTorch.

The ideal candidate is a senior machine learning engineer with a strong background in AI and robotics, preferably with experience in surgical or medical robotics. They should have a PhD or MS in a related field, with expertise in developing ML algorithms, simulation, and deploying models on robotic hardware.

PhD/MS in Machine LearningComputer ScienceDevelop and implement ML algorithmsBuild data pipelinesLeverage simulationOptimize models for real-time performance
Robotic manipulationSurgical roboticsAI researchTransfer learningControl systems
TensorFlowPyTorchSimulation softwareRobotic hardware
Machine LearningMLArtificial IntelligenceAIRoboticsSimulationData pipelinesModel deploymentPerformance metricsAlgorithmsPythonDeep LearningTensorFlowPyTorchRobotic hardware
Machine LearningMLArtificial IntelligenceAIRoboticsSimulationData pipelinesModel deploymentPerformance metricsAlgorithmsPythonDeep LearningTensorFlowPyTorchRobotic hardware
CommunicationLeadershipTeamworkProblem-solvingInnovationMentoring
Industry Healthcare & Medical
Job Function Developing AI/ML models for robotic surgical systems
Machine LearningMLArtificial IntelligenceAIRoboticsSimulationData pipelinesModel deploymentPerformance metricsAlgorithmsPythonDeep LearningTensorFlowPyTorchRobotic hardwareSurgical robotics

Lack of experience with robotic hardware, No background in healthcare or surgical robotics, Unable to work in hybrid environment in Santa Clara

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