Staff Machine Learning Engineer

📋 Description

• Shape applied AI directions; deploy AI models that power Databricks products.
• Develop data collection, fine-tuning, and LLM tech for task/domain performance.
• Design ML pipelines for preprocessing, feature engineering, training, tuning, and evaluation.
• Collaborate with AI researchers, ML engineers, and product teams to deliver AI solutions.
• Build scalable backends for GenAI; implement logging, telemetry, and eval harnesses.

🎯 Requirements

• 2-8 years ML engineering in fast-growing companies or strong ML research background.
• Strong language modeling track record: generative/embedding techniques and models.
• Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures.
• End-to-end model development from research to deployment and monitoring.
• Strong analytical skills and passion for AI-driven user experiences.
• LLM fine-tuning, prompt engineering; RAG is a bonus.

🎁 Benefits

• Competitive pay transparency and regional compensation details.
• Comprehensive benefits vary by region.
• Work with cutting-edge GenAI products and AI researchers.
• Collaborative, inclusive team at a global company.
• Growth opportunities in GenAI and ML engineering.
• Opportunities to work from Mountain View, CA.