Sr. Product Designer, Machine Learning - Databricks
View Company Profile- Job Title
- Sr. Product Designer, Machine Learning
- Job Location
- San Francisco, California
- Job Description
RDQ123R385
Mission
At Databricks, our mission as designers is to make working with data simpler and more accessible so that more people can contribute to solving the world’s toughest problems. Product designers at Databricks balance the creativity of a craftsperson with the analytical curiosity of a data scientist. We believe in the traditional and timeless value of great graphic design - while at the same time, we have a restless desire to get to the truth and make the best decisions possible using data. We design simple and collaborative products that have the power to delight a discriminating and highly technical audience.
The impact you will have:
- Assists in the general design efforts across the machine learning product lifecycle including areas such as features, models, experiments but with a special emphasis on our serving products including endpoints, AI gateway and others.
• Assists in the design of workflows that empower customers to quickly and easily create LLMs customized with their own datasets
• Balances the need to support highly technical practitioners with the needs of less advanced customers - enabling all audiences to successfully use their data to create powerful customer experiences
• Gains a deep understanding of Databricks business objectives, users, market opportunities, and competition. Becomes well-versed on the Databricks product and its personas (Data scientists, data engineers, data analysts and administrators) - Partners closely with other product designers to insure that machine learning workflows work seamlessly with other relevant areas of the Databricks product
- Able to work closely with Engineering, Product Management and other key leadership to drive critical initiatives through from ideation to completion
- Actively seek & provide design feedback and collaboratively improve the design process
What we look for:
- 5+ years of product design work experience
- You possess a unique combination of technical knowledge and visual design skills which allows you to create intuitive and well-crafted product design solutions
- A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally
- Proven ability to ship great products that are technically challenging but designed to be simple and intuitive
- A designer with strong tradecraft, who is at ease drawing from a vast toolkit to get the job done
- A natural communicator who can explain and document the behavior of the solutions they design
- A bachelor's or master’s degree or equivalent, ideally with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines
- A portfolio showcasing the end-to-end design process, from inception to production
- Experience with the following is a nice-to-have:
- Experience designing products in the Big Data space
- Experience coding Python, R, SQL or other languages that could be most relevant to the field of data visualization
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$110,300—$195,000 USDAbout 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. 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.
- Assists in the general design efforts across the machine learning product lifecycle including areas such as features, models, experiments but with a special emphasis on our serving products including endpoints, AI gateway and others.
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Databricks Company Size
Between 2,023 - 20,000 employees
Databricks Founded Year
2013
Databricks Total Amount Raised
$3,996,999,936
Databricks Funding Rounds
View funding detailsSeries I
$500,000,000 USD
Series H
$1,600,000,000 USD
Series G
$1,000,000,000 USD
Series F
$400,000,000 USD
Series E
$250,000,000 USD
Series D
$140,000,000 USD
Series C
$60,000,000 USD
Series B
$33,000,000 USD
Series A
$14,000,000 USD