https://amzn.to/44P6GXZ
In this exceptional leadership opportunity, you will lead Databricks’s applied AI engineering team to both enhance our product and our infrastructure with machine learning. In this role, you will directly impact how we design, plan, and execute on applied machine learning initiatives at the company. It’s a unique opportunity to go zero-to-one to carve a path for machine learning at Databricks.
You will pursue these challenges as a thought leader and key product and engineering partner in Databricks’s “Data” organization. In addition to building a world-class team, you will debate and influence product and technical strategies to help make the product smarter.
The perfect candidate will have a passion for data, a proven track record of delivering net-new machine learning, strong ML modeling and architecture skills, great operational skills, and, most importantly, a strong vision for how data can proactively improve the product.
The Impact You Will Have
What You’ll Need
About Databricks
Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 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.
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