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Sr. Developer Advocate, Machine Learning

RDQ426R238

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. For more information regarding which range your location is in visit our page here.

 

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 TwitterLinkedIn 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. 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.

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.

Average salary estimate

$151750 / YEARLY (est.)
min
max
$109500K
$194000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Developer Advocate, Machine Learning, Databricks

Are you ready to step into the spotlight as the Sr. Developer Advocate for Machine Learning at Databricks in Seattle, Washington? If you're someone who's not only passionate about machine learning and AI but also possesses the charisma to engage and inspire others, then this role is made for you! Here at Databricks, you'll be the bridge between our talented engineering teams and a vibrant community of data scientists and AI engineers. Your mission will be to share your extensive expertise in fields like MLOps, LLMOps, and the Databricks Data Intelligence Platform. You'll get to host events, create insightful blog posts, and engage with the community through one-on-one sessions. Whether you're delivering captivating talks at industry events or answering tough questions in forums, your role is about dissemination of knowledge and nurturing the developer ecosystem. Closely collaborating with the community and product teams, you'll help ensure that we align our offerings with user needs. Plus, you'll leverage your diverse skill set to craft high-quality educational resources that simplify complex concepts and foster growth within the community. Are you excited to advocate for developers' needs and amplify the adoption of Databricks technologies? Join us in making a real impact in the data and AI space!

Frequently Asked Questions (FAQs) for Sr. Developer Advocate, Machine Learning Role at Databricks
What are the responsibilities of a Sr. Developer Advocate at Databricks?

As a Sr. Developer Advocate at Databricks, your key responsibilities will include sharing in-depth knowledge about machine learning, hosting engaging panels and meetups, developing educational content, and providing expert support in community forums. You'll act as a vital link between developers and the engineering teams, ensuring feedback from the community is integrated into product development.

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What qualifications do I need for the Sr. Developer Advocate position at Databricks?

To successfully apply for the Sr. Developer Advocate role at Databricks, you'll need over 5 years of experience as a Developer Advocate or related roles, a solid understanding of machine learning frameworks like PyTorch and scikit-learn, and the ability to communicate complex technical topics effectively. Experience in maintaining and engaging developer communities, as well as familiarity with Databricks technologies, is highly beneficial.

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How does the Sr. Developer Advocate at Databricks contribute to the developer community?

The Sr. Developer Advocate contributes to the Databricks developer community by sharing best practices for machine learning and MLOps, engaging users through meetups, and creating high-quality educational resources. You’ll facilitate discussions, gather valuable feedback, and ensure that the community's needs are represented in product decisions.

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What types of content will I create as a Sr. Developer Advocate for Databricks?

In your role as a Sr. Developer Advocate at Databricks, you'll create a wide array of content including blog posts, instructional videos, sample notebooks, and comprehensive courseware. These resources will aim to educate developers and assist them in utilizing the Databricks Data Intelligence Platform effectively.

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Is community engagement a significant part of the Sr. Developer Advocate role at Databricks?

Absolutely! Community engagement is at the heart of the Sr. Developer Advocate role at Databricks. You’ll work closely with both the developer community and product teams, ensuring a seamless feedback loop that enriches the developer experience and drives the adoption of Databricks innovations.

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Common Interview Questions for Sr. Developer Advocate, Machine Learning
Can you describe your experience as a Developer Advocate?

When asked about your experience as a Developer Advocate, focus on specific instances where you engaged with the community, hosted events, or collaborated with product teams. Highlight any successful initiatives or projects that contributed to community growth.

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What tools do you use to communicate with developer communities?

Discuss the various platforms you’ve used to connect with developer communities, such as Slack, Discord, or GitHub. Emphasize your ability to adapt your communication style to suit different audiences and your experience contributing to open-source projects.

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How do you stay updated on trends in machine learning and AI?

Share the methods you use to keep abreast of the latest machine learning and AI trends. This may include following leading blogs, attending conferences, participating in online courses, or engaging with industry experts on social media.

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Can you give an example of a successful presentation or event you've hosted?

Select a notable presentation or event you hosted and articulate the objectives, your preparation process, and the results. Share any feedback received from the audience or community and how it impacted your future engagements.

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How do you gather and incorporate feedback from the developer community?

Discuss your methods for collecting community feedback, including surveys, forums, and user group discussions. Emphasize your commitment to acting on feedback and how it has shaped your approach in past roles.

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What is your approach to creating educational content?

Explain your content creation process, focusing on understanding the audience’s needs, collaborating with subject matter experts, and ensuring clarity in technical explanations. Provide examples of resources you've created that were particularly effective.

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How do you measure the impact of your advocacy efforts?

Share key performance indicators (KPIs) you use to track the success of your advocacy, such as engagement metrics, community growth, and feedback scores from events or content. Highlight any tools you use for analytics.

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What challenges have you faced in community engagement, and how did you overcome them?

Discuss specific challenges you've encountered, such as managing diverse community expectations or addressing negative feedback. Explain your strategies for resolution and how they improved community relations.

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How would you advocate for underrepresented voices within the Databricks community?

Express your commitment to inclusivity and share specific strategies to amplify underrepresented voices, such as creating mentorship programs, providing platforms for diverse speakers, or actively seeking feedback from varied community segments.

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Why do you want to work at Databricks as a Sr. Developer Advocate?

Convey your passion for Databricks and alignment with its mission in the data and AI space. Highlight any personal experiences with Databricks technologies and why you believe you would positively contribute to the company and its community of developers.

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DATE POSTED
March 29, 2025

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