Machine Learning Engineer, Optimizer

Who We Are

EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression — across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results — with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO’s TV intelligence to know what works.

EDO is headquartered in New York City and Los Angeles, along with a San Francisco office. This position is remote.

To learn more about the work we do at EDO, please visit EDO Press.

The Role

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. Ad EnGage measures the effectiveness of advertising by combining and analyzing dozens of sources of household-level advertising delivery events, household-level outcome data, identity resolution data, and various other inputs. Our clients use these insights to make critical business decisions about their advertising strategy. You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on Python, DBT, and Snowflake.

What You Will Do

• Identify performance bottlenecks in Snowflake queries, and either tune modeling code to query data more efficiently or work with data engineering teams to change upstream tables for more efficient reads.
• Identify memory inefficiencies in Python code (ex. memory leaks, excessive copies) and rewrite more efficiently.
• Identify processing inefficiencies (missing parallelization, repeated computation, etc.) in data processing, modeling, and scoring code.
• Identify inefficient Pandas operations and optimize or migrate the step to Polars or other alternatives.
• Diagnose out-of-memory errors in modeling pipelines.
• Develop runtime and memory profiling test suites to detect performance regressions in our modeling codebase.

What We Are Looking For

• A minimum of 5 years of machine learning engineering, software engineering, or data science experience, including at least 3 years of development/maintenance of machine learning tools or systems.
• A self-driven individual who can own projects and communicate across technical teams to determine where and how to resolve performance issues. 
• Strong knowledge of columnar databases (such as Snowflake, Redshift, etc), high performance data processing in python (like Polars or DuckDB), and Python memory and runtime optimization.
• Strong proficiency with Python, especially memory and CPU profiling.
• Strong proficiency in SQL, including inspection of query plans, query optimization, and strategies for working with slowly changing dimension tables.
• A strong understanding of software engineering practices, principles, and fundamentals.

Experience We Can Help You Develop

• SQLalchemy and Snowflake-specific expertise.
• Memory and CPU profiling test suites.
• Development and test pipelines, continuous integration.
• Development of feature engineering pipelines and DBT.
• Directly working with vendor engineers to resolve performance regressions.

Compensation & 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

In compliance with New York and California Pay Transparency Law, the salary range for this position is $130,000-180,000. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.