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Sr. Technical Writer, Machine Learning & AI

Databricks

Databricks

Marketing & Communications, Software Engineering, IT, Data Science
San Francisco, CA, USA
Posted on Wednesday, June 12, 2024

RDQ225R443

At Databricks, we are passionate about enabling data teams to solve the world’s toughest 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 infrastructure platform so our customers can use deep data insights to improve their business.

More about the team:

Join Databricks in a period of tremendous growth and innovation. Technical writers here play a critical role in our customer success. The machine learning and artificial intelligence writers at Databricks work daily on the cutting edge of new tools for AI development. You will apply your considerable writing, data, and other technical skills to create compelling content that shows data scientists, data engineers, and data analysts how to use Databricks to realize their biggest data analytics, machine learning, and AI opportunities.

To succeed in this role, you have a technical background in data science and/or data engineering. You are passionate about instructional writing, with a focus on clarity, straightforward storytelling, and an information architect's approach to organizing material. The work is going to come fast and furious, but you'll never let up on your attention to detail or your advocacy for the customer. If you’re excited to work with some of the industry’s brightest innovators in data and AI, we want to talk to you.

The impact you will have

  • Collaborate closely with engineers and product managers to develop effective, customer-focused documentation.
  • Collaborate closely with customer-facing technical staff (support engineers, solutions architects, developer relations) on best practices, onboarding material, and other scenario-based guidance.
  • Help drive an information-architecture approach to organizing content based on customer use cases.
  • Help us continually improve our authoring and production tools and processes.
  • Edit content contributed by engineering and the field for technical accuracy, grammar, usage, adherence to style, and fit within information architecture.
  • Manage contributed articles through technical review, content edits, and publication.
  • Use your skills in media to create videos and diagrams that help customers quickly grasp concepts and workflows in data science.

What we look for

  • 4+ years documenting sophisticated technologies for developers and IT professionals, or equivalent work experience (for example, as a software developer, product manager, or solutions architect).
  • Strong cross-functional collaboration and professional communication skills.
  • Mastery of technical writing tools and style: consistent voice, straightforward and lively style, and understanding of the rules of grammar and usage.
  • Experience working with data products.
  • Experience working with cloud platforms.
  • Demonstrated understanding of information architecture concepts and how to apply them to a constantly changing website.
  • Proven project management skills.
  • Proficiency in Markdown-style formats with Git and GitHub.
  • Strong analytical skills with excellent problem-solving abilities.
  • Experience using data and customer feedback to drive decision-making.

Nice to have

  • Experience creating instructional video and visual media, such as animated GIFS and diagrams.
  • Hands-on experience with AI and machine learning techniques, such as model training and data preparation.
  • Working knowledge of Python in data science.

Benefits

  • Medical, Dental, and Vision
  • 401(k) Plan
  • FSA, HSA and Commuter Benefit Plans
  • Equity Awards
  • Flexible Time Off
  • Paid Parental Leave
  • Family Planning
  • Fitness Reimbursement
  • Annual Career Development Fund
  • Home Office/Work Headphones Reimbursement
  • Employee Assistance Program (EAP)
  • Business Travel Accident Insurance
  • 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.

Zone 1 Pay Range
$96,100$170,000 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.

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.