Senior/Staff ML Feature Store Engineer

Snowflake; Bellevue (WA); On-site; USD 236,000 - 310,000; Full time

Benefits offered by this job

Medical, dental, vision, life, and 7?6

401(k) retirement plan

Flexible spending & health savings

At least 12 paid holidays

Paid time off

Parental leave

Employee assistance program

Job summary

Snowflake is seeking AI-native thinkers to redefine how work gets done. Join the ML Feature Store team building cutting-edge feature transformations and low-latency serving as part of the Snowflake ML suite.

In this role, you will own the roadmap for Snowflake Feature Store, collaborate with senior architects and ML leadership, and shape a vision for incorporating new advances in ML while ensuring reliable, scalable service delivery.

Qualifications

• 8+ years of experience designing and building data serving infrastructure and/or ML 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.

Responsibilities

• Define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership.
• Build and execute a vision for incorporating new advances in machine learning.
• Ensure operational excellence of services and meet reliability, availability, and performance commitments.
• Collaborate across ML partner teams to improve development velocity and capabilities.
• Support team members in delivering high technical quality.

Skills

Machine learning systems

Data serving infrastructure

Computer science fundamentals

Java

Python

Education

B.Sc. in Computer Science

Tools

Feature engineering platforms

ML platforms

Job description

Snowflake is seeking AI-native thinkers to redefine how work gets done. Join the ML Feature Store team building cutting-edge feature transformations and low-latency serving as part of the Snowflake ML suite.

In this role, you will own the roadmap for Snowflake Feature Store, collaborate with senior architects and ML leadership, and shape a vision for incorporating new advances in ML while ensuring reliable, scalable service delivery.