Machine Learning Engineer, Optimizer - Remote

Overview

As a Machine Learning Engineer focused on performance optimization at EDO, you will join a team of talented Data Scientists and MLEs to improve the modeling pipelines that underlie our Ad EnGage product.

In Short

• Identify performance bottlenecks in Snowflake queries.
• Optimize memory inefficiencies in Python code.
• Improve data processing and modeling code efficiency.
• Diagnose out-of-memory errors in modeling pipelines.
• Develop runtime and memory profiling test suites.

Requirements

• 5+ years of machine learning engineering or data science experience.
• Strong knowledge of columnar databases like Snowflake.
• Proficiency in Python and SQL.
• Understanding of software engineering practices.
• Ability to communicate across technical teams.

Benefits

• Competitive salary and mid-stage equity.
• Flexible Time Off.
• Medical, dental, and vision coverage.
• 401(k) plan, FSA, HSA.
• Commuter Benefits.