Sr. Developer Advocate, Machine Learning Seattle, Washington

Databricks Inc.; Seattle (WA); On-site; USD 109,000 - 194,000; Full time

Job summary

An established industry player is seeking a charismatic Machine Learning Developer Advocate to engage with the data science community. This role involves sharing expertise in AI, MLOps, and the Databricks Data Intelligence Platform through talks, meetups, and blogs. You'll foster a thriving community by connecting with data scientists and AI engineers, ensuring their needs are met while promoting best practices. Join a passionate team dedicated to solving complex data challenges and making a significant impact in the world of data and AI. If you have a knack for communication and a deep understanding of technology, this opportunity is perfect for you!

Benefits

Annual performance bonus

Equity options

Comprehensive health benefits

Flexible work hours

Remote work options

Professional development opportunities

Wellness programs

Diversity and inclusion initiatives

Qualifications

• 5+ years in DevRel, software development, or solutions architecture.
• Strong background in data engineering and community engagement.

Responsibilities

• Deliver engaging talks and host panels to share knowledge.
• Develop educational resources to support user adoption.

Skills

Machine Learning

Data Science

AI

MLOps

LLMOps

Python

SQL

Community Engagement

Public Speaking

Technical Writing

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

MLflow

PyTorch

scikit-learn

Job description

Are you a charismatic data science Developer Advocate at heart, someone who excels in the spotlight, loves presenting and hosting events, and possesses a deep knowledge of machine learning, data science, AI, and the Databricks Data Intelligence Platform?

As a Machine Learning Developer Advocate, you'll share your expertise in agents, AI, GenAI, MLOps, and LLMOps and be a conduit between the engineering teams and the developer community of data scientists and AI engineers building their careers on technologies including (but not limited to) pandas, scikit-learn, PyTorch, DSPy, MLflow, LangChain, LlamaIndex, and Databricks. You'll share your knowledge of best practices for developing and productionizing AI and machine learning by giving talks, hosting panels and meetups, blogging, answering forum questions, and meeting 1:1 with influential data scientists and AI engineers in the Databricks community. You'll work closely with the community and Mosaic AI product and engineering teams.

This role will leverage your strong expertise in Databricks Mosaic AI to educate, inspire, and support our growing user base.

Your responsibilities will encompass a wide range of knowledge-sharing activities. You’ll deliver engaging talks, host insightful panels and meetups, create informative blogs and video content, develop comprehensive courseware, provide expert answers in community forums, and conduct one-on-one sessions with influential data engineers and scientists. These efforts will help disseminate best practices and foster a thriving Databricks community.

Community engagement will be at the heart of your role. You’ll work closely with the Databricks community and the product and engineering teams, ensuring that user needs and product development align seamlessly. Reporting directly to the Head of Developer Relations, you’ll collaborate with fellow developer advocates and program managers to create and execute a cohesive and impactful developer relations strategy.

The ideal candidate for this position will embody the values of our Developer Relations team: a deep passion for data and AI, genuine empathy for developers’ needs, and a strong commitment to effectively explaining our products.

You’ll use your diverse Databricks skill set to educate the community about Databricks technologies and continuously gather and utilize community feedback to improve the developer experience.

More about the DevRel team:

At Databricks, we are passionate about enabling data and AI teams to solve the world’s most challenging problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI platform so our customers can use deep data insights to improve their business.

Our ability to execute this mission depends on building trust and recognition with an ever-growing community of data engineers, analysts, scientists, machine learning, and AI practitioners.

The Developer Relations (DevRel) team at Databricks is dedicated to building and fostering relationships with communities of data practitioners. Our primary goal is to drive awareness and adoption of Databricks Mosaic AI and the Databricks Data Intelligence Platform.

The impact you will have:

• Share knowledge about machine learning and large language model development, production, and operations; demonstrating an intricate understanding of how to streamline ML/AI/LLM lifecycles.
• Generate awareness for Databricks Mosaic AI by establishing it as a leading technical solution through regular speaking engagements at industry events.
• Expand Databricks Mosaic AI and MLflow meetups and user groups to attract tens of thousands of participants, fostering a thriving community.
• Foster enthusiasm for Databricks Mosaic AI and 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.
• To facilitate the widespread adoption of new Databricks Mosaic AI features, create high-quality educational resources such as videos, sample notebooks, tutorials, and blog posts.
• Advocate for the needs and desires of the ML and AI communities 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 experience as DevRel and as a software developer, solutions architect, or related profession
• Subject matter knowledge of solving data engineering problems at all scales.
• Active participation and recognized leadership in Databricks community forums, chats, and meetups
• 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 data science and machine learning communities, including MLflow.
• 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 a deep technical understanding of developer personas and can apply that to the design and development of good experiences in tutorials, notebooks, communities, and more.

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.

Zone 2 Pay Range: $109,500 — $194,000 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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

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.

Compliance

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.