A leading technology company is seeking a Sr. Machine Learning Infrastructure Engineer in Culver City, California. The role focuses on developing scalable ML data infrastructure and building core tooling to support model development. Ideal candidates should have a strong background in programming, software engineering, and familiarity with modern data processing frameworks like Spark and Kubernetes. Comprehensive benefits and stock options are offered, along with a competitive salary range between $139,500 to $258,100.
Qualifications
3+ years of relevant industry experience.
Proficiency in a high-level programming language.
Strong understanding of software engineering best practices.
Responsibilities
Lead development of scalable ML data infrastructure.
Build scalable and reusable infrastructure components.
Partner with model development teams.
Skills
Python
SQL
ML workloads
Data modeling
Software engineering best practices
Education
BS/MS in Computer Science or related field
Tools
Spark
Docker
Kubernetes
PostgreSQL
Job description
A leading technology company is seeking a Sr. Machine Learning Infrastructure Engineer in Culver City, California. The role focuses on developing scalable ML data infrastructure and building core tooling to support model development. Ideal candidates should have a strong background in programming, software engineering, and familiarity with modern data processing frameworks like Spark and Kubernetes. Comprehensive benefits and stock options are offered, along with a competitive salary range between $139,500 to $258,100.