Join Our Team as a Sr. Machine Learning Engineer - GenAI & LLMs at Databricks!

At Databricks, we are expanding our Machine Learning (ML) Practice team in response to growing demand for Large Language Model (LLM)-based solutions. This exciting remote role is open to candidates across the U.S., with a strong preference for those located in the Bay Area.

Your Role and Impact

As a Senior Machine Learning Engineer, you will:

• Develop innovative LLM solutions utilizing customer data for various applications including RAG architectures and natural language querying.
• Enhance and scale data science workloads, applying best MLOps practices to deploy these solutions across diverse domains.
• Provide expert advice on data science architecture, tooling, and best practices to data teams.
• Contribute to community knowledge by presenting at top conferences like Data+AI Summit.
• Offer technical mentorship within Databricks' extensive ML expert community.
• Collaborate closely with product and engineering teams to influence Databricks' product roadmap based on field insights.

What We Look For

Ideal candidates will possess:

• Deep expertise in natural language processing technologies including fine-tuning and deploying LLMs with tools like HuggingFace and OpenAI.
• At least 4 years of hands-on industry experience in data science, proficient with tools such as pandas, scikit-learn, and TensorFlow/PyTorch.
• A strong background in deploying machine learning solutions on cloud platforms like AWS, Azure, or GCP.
• Advanced degree in a quantitative field such as Computer Science or Engineering, or equivalent practical experience.
• Excellent communication skills capable of teaching complex technical concepts to diverse audiences.
• A passion for collaborative problem-solving and lifelong learning in the realm of ML.

[Preferred] Experience working with Apache Spark™ to manage large-scale distributed datasets.

Benefits

Working at Databricks, you will enjoy a comprehensive range of benefits including, but not limited to:

• Healthcare coverage (Medical, Dental, and Vision)
• Retirement plans (401(k)) and financial well-being programs
• Equity Awards and performance-based perks
• Generous time-off policies and paid parental leave
• Annual personal development fund and fitness reimbursement
• Remote work support and mental wellness resources

Salary and Transparency

Databricks is committed to fair compensation. The salary range for this position stretches from $124,800 to $220,800, varying by zone and individual qualifications. Our comprehensive compensation package also includes potential bonuses and equity.

About Databricks

Databricks, the pioneer in unified data and AI, is trusted by over 10,000 organizations globally, including over half of the Fortune 500 companies. Founded by the original creators of key industry innovations like Apache Spark™, we are leading the way in data intelligence and AI adoption.

Our Commitment to Diversity and Inclusion

At Databricks, diversity and inclusion are integral to our success. We are dedicated to building a workplace where everyone can thrive, supported by inclusive hiring practices and a welcoming environment.

Compliance

Please note, some positions at Databricks may require access to U.S. export-controlled technology and software, which could influence hiring decisions.

Ready to redefine the future of data and AI? Apply now to become a part of our journey at Databricks!