Remote Machine Learning Engineer

Summary

Join our team at EDO as a Machine Learning Engineer and contribute to the production deployment/maintenance of internal data and modeling products. As part of the Data Science team, you will focus on planning and architecture skills along with solid engineering experience to build maintainable and extensible modeling pipelines.

Requirements

• Experience with MLOps, especially with continuous model training and monitoring
• 4-6 years of overall development experience
• 3+ years of Python experience writing clean, reusable code used by Data Scientists or deployed in production systems
• Proficiency with analytic queries in SQL and relational databases (we primarily use Snowflake), with experience interfacing directly with databases from Python (we leverage SQLAlchemy Core heavily)
• Expert level experience with a variety of modeling techniques, preferably both more traditional methods like GBMs and regressions plus some experience with deep neural networks

Responsibilities

• Migrate components of our existing modeling frameworks from batch-oriented to continuous training and monitoring
• Diagnose issues with legacy models and pipelines and decide what to maintain as-is, what to rebuild, and what to replace with alternatives
• Expand our collection of internal modeling building blocks
• Lead large, high-priority, cross-functional, strategic projects, driving multiple decisions that have significant impact

Benefits

• Mid-stage equity
• Competitive salary
• Flexible Time Off
• Medical, dental and vision coverage, deeply discounted by EDO
• 401(k) plan, FSA, HSA
• Commuter Benefits