Who We Are

EDO is the TV outcomes company — a leading platform measuring Convergent TV advertising. Combining real-time engagement signals with world-class decision science, EDO maximizes creative and media performance for modern marketers at leading brands, TV networks, entertainment studios, and ad agencies. EDO’s investment-grade data align advertising investments to business results – with detailed competitive, category, historical, and predictive intelligence.

EDO has offices in Los Angeles, New York City, and San Francisco. This position is open to fully-remote candidates, but those who prefer a hybrid arrangement are welcome at any of the offices.

The Role

A Machine Learning Engineer at EDO is part of the Data Science team and focuses on production deployment/maintenance of internal data and modeling products. ML Engineers harden proof-of-concept and exploratory code into reliable components of EDO’s production systems. The role requires planning and architecture skills along with solid engineering experience and intuition to build maintainable and extensible modeling pipelines.

What You Will Do

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.

What We Are Looking For

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.

What We can Teach You

Causal inference on observational data.
Building models of sales lift, modeling marketing effectiveness.

Benefits

EDO offers a competitive compensation package. Components of compensation include:
Mid-stage equity and competitive salary
Flexible Time Off
Medical, dental and vision coverage, deeply discounted by EDO
401(k) plan, FSA, HSA
Commuter Benefits
When in an office, employee meals, snacks, and more