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Sr. Developer Advocate, MLflow



Software Engineering, Legal
United States
Posted on Tuesday, July 2, 2024


Databricks has built a powerful collection of open source software and commercial services to help make data teams worldwide more successful in solving tough problems. Our ability to execute this mission depends on data engineers, data analysts, data scientists, and machine learning practitioners, all having great experience in a scalable way.

More about the team:

As a Developer Advocate for MLflow, you'll share your expertise in MLOps and LLMOps and be a conduit between the engineering teams and the external developer community of data engineers building their careers on technologies like Databricks and MLflow. You'll share your knowledge of best practices for operationalizing AI and machine learning by giving talks, hosting panels and meetups, blogging, writing books, developing courseware, answering forum questions, and meeting 1:1 with influential data engineers and data scientists in the Databricks community. You'll work closely with the community and MLflow product team.

This position will report to the Head of Developer Relations and work with other Developer Advocates and program managers. The Developer Relations team is passionate about data, empathetic to developers' needs, and strong believers in using our diverse skills to explain our products and use feedback from the community to improve the developer experience.

The impact you will have:

  • Share knowledge about machine learning and large language model operations, demonstrating MLflow's capabilities in streamlining ML/LLM lifecycles.
  • Generate awareness for MLflow by establishing it as a leading technical solution through regular speaking engagements at industry events.
  • Expand MLflow meetups and user groups to attract tens of thousands of participants, fostering a thriving community.
  • Foster enthusiasm for MLflow by leveraging creativity and innovation to create engaging experiences and content, welcoming novel perspectives and stimulating discussions.
  • Enable data engineers to build MLOps and LLMOps infrastructure with MLflow.
  • Create high-quality educational resources such as videos, sample notebooks, tutorials, and blog posts to facilitate the widespread adoption of new MLflow features.
  • Advocate for the needs and desires of the MLflow community within Databricks, ensuring their voices are heard and considered by other teams.
  • Provide robust support for users across platforms like Slack, StackOverflow, and online communities to stay attuned to their feedback and requirements.

What we look for:

  • 5+ years of experience as a software developer and subject matter knowledge of solving data engineering problems at all scales.
  • You have experience with Python and SQL, machine learning and deep learning frameworks such as scikit-learn and PyTorch, and open source and SaaS AI models.
  • You are a leader in the MLflow communities.
  • You have experience working with and contributing to open source communities.
  • You have experience managing, operationalizing, and engaging with developer communities, running user groups, or holding global meetups.
  • You are a solid communicator with experience writing about, teaching, and speaking about complex technical topics.
  • You have empathy and understanding of developer personas and can apply that to the design and development of good experiences in tutorials, notebooks, communities, and more.


  • Comprehensive health coverage, including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Employee Assistance Program (EAP)
  • Mental wellness resources

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range
$115,400$204,200 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.


If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.