Senior Data Scientist / Machine Learning Engineer

Summary

Join Databricks' Machine Learning Practice team, a customer-facing team specializing in Large Language Model (LLM)-based solutions. You will develop LLM solutions on customer data, help customers solve problems across various industries, build and optimize customer data science workloads, advise data teams on best practices, and provide thought leadership. The role involves collaboration with product and engineering teams to influence the product roadmap. This remote position requires experience building Generative AI applications and 2-8 years of hands-on industry data science experience. A graduate degree in a quantitative discipline or equivalent experience is needed.

Requirements

• Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI
• 2-8 years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, MLflow, scikit-learn, and PyTorch
• Experience building production-grade ML or GenAI deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML

Responsibilities

• Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation
• Help customers solve tough problems across industries like Health and Life Sciences, Finance, Retail, Startups, and many others
• Build, scale, and optimize customer data science workloads across industries and apply best-in-class MLOps to productionize these workloads
• Advise data teams on data science architecture, tooling, and best practices
• Provide thought leadership by presenting at conferences such as Data+AI Summit and mentoring the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap

Preferred Qualifications

Experience working with Databricks and Apache Spark™

Benefits

• $161,280 — $247,296 USD
• Annual performance bonus
• Equity