✦ Luna Orbit — AI & Machine Learning

Sr. Machine Learning Engineer

at Databricks

📍 San Francisco, California Unknown Posted March 10, 2026
Type Not Specified
Experience mid
Exp. Years 2-8 years
Education Not specified
Category AI & Machine Learning

Senior Machine Learning Engineer at Databricks focusing on developing and deploying advanced GenAI products, including LLMs and AI systems that enhance user productivity.

  • Shape AI product direction
  • Develop and deploy AI models
  • Optimize LLM performance
  • Build scalable ML pipelines
  • Collaborate with research and product teams

Environment involves Python, TensorFlow, PyTorch, large language models, ML pipelines, and scalable AI infrastructure.

The ideal candidate is a machine learning engineer with 2-8 years of experience, proficient in Python, TensorFlow, and PyTorch, with a strong background in language modeling and deploying scalable AI solutions.

2-8 years of machine learning engineering experienceProficiency in PythonTensorFlowPyTorchExperience with language modeling technologiesEnd-to-end model developmentStrong analytical and problem-solving skills
LLM fine-tuningPrompt engineeringRetrieval-augmented generationML pipelinesKnowledge of GenAI products
PythonTensorFlowPyTorch
Machine LearningDeep LearningNatural Language ProcessingPythonTensorFlowPyTorchLarge Language ModelsModel Fine-tuningPrompt EngineeringRetrieval-Augmented GenerationML PipelinesData PreprocessingModel EvaluationScalable ML Architectures
Machine LearningDeep LearningNatural Language ProcessingPythonTensorFlowPyTorchLarge Language ModelsModel Fine-tuningPrompt EngineeringRetrieval-Augmented GenerationML PipelinesData PreprocessingModel EvaluationScalable ML Architectures
Analytical SkillsProblem-solvingCollaborationCommunicationInnovationAdaptability
Industry SaaS
Job Function Driving AI/ML development for GenAI products at Databricks
Machine LearningDeep LearningNatural Language ProcessingPythonTensorFlowPyTorchLarge Language ModelsModel Fine-tuningPrompt EngineeringRetrieval-Augmented GenerationML PipelinesData PreprocessingModel EvaluationScalable ML Architectures

Less than 2 years of ML engineering experience, Lack of experience with language models, No proficiency in Python, TensorFlow, or PyTorch

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