Senior Machine Learning Engineer, Ads Experimentation & Measurements

Unity

Mountain View (CA)

On-site

USD 149,000 - 259,000

Full time

14 days+

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Benefits offered by this job

comprehensive insurance

commute subsidy

stock ownership

retirement plans

vacation

parental support

snacks

mental health programs

employee groups

assistance programs

training

volunteering support

Job summary

Unity’s Ads Experimentation Platform team seeks a senior machine learning engineer to lead validation and optimization of the global advertising ecosystem. The role involves bridging statistical methodology and large-scale engineering, with responsibilities spanning evaluation of ad delivery systems and driving product analytics.

You will design advanced statistical methodologies and build automated ML experimentation pipelines, defining surrogate LTV metrics while providing cross-functional

Qualifications

5+ years in Data Science or Applied Research in Ad Tech or marketplaces.
Advanced degree in a quantitative field.
Expertise in causal inference and statistics.
Programming in Python or Scala; experience with Spark, Snowflake or BigQuery.

Responsibilities

Evaluate ad delivery systems and drive product analytics.
Design advanced statistical methodologies (CUPED, sequential testing, interleaving).
Build automated ML experimentation pipelines.
Define surrogate LTV metrics.
Provide cross-functional leadership.
Lead validation and optimization of the global advertising ecosystem.

Skills

Data Science

Statistics

Python/Scala

Spark

Snowflake

BigQuery

A/B Testing

Causal Inference

Education

Advanced degree in a quantitative field

Tools

Spark

Snowflake

BigQuery

Job description

Unity’s Ads Experimentation Platform team seeks a senior machine learning engineer to lead validation and optimization of the global advertising ecosystem. The role involves technical leadership on experimentation and evaluation, bridging statistical methodology and large-scale engineering.

Responsibilities

evaluating ad delivery systems
driving product analytics
designing advanced statistical methodologies (CUPED, sequential testing, interleaving)
building automated ML experimentation pipelines
defining surrogate LTV metrics
providing cross-functional leadership

Requirements