Base Salary
$236k - $339k/yr
Responsibilities
- Define and own the Snowflake Feature Store roadmap in collaboration with senior architects and ML leadership.
- Build and execute a vision for incorporating new advances in machine learning.
- Develop feature transformation and low-latency feature-serving capabilities.
- Ensure operational excellence and meet reliability, availability, and performance commitments.
- Collaborate with ML partner teams to improve development velocity and capabilities.
- Support team members in delivering high technical quality.
Requirements
- 10+ years of experience designing and building data-serving infrastructure and/or machine learning platforms.
- Strong track record working with machine learning systems and platforms.
- Strong understanding of computer science fundamentals.
- B.Sc. in Computer Science.
- Fluency in Java and Python.
- Experience with feature engineering platforms and ML platforms.
Categories
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.