Senior Machine Learning Engineer, Ads Experimentation & Measurements

Unity

New York (NY)

On-site

USD 149,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Health insurance

Commute subsidy

Stock ownership

Retirement plans

Vacation

Parental support

Snacks

Mental health programs

Employee resource groups

Assistance programs

Training

Volunteering support

Job summary

Unity's Ads Experimentation Platform team seeks a senior machine learning engineer to lead the validation and optimization of the global advertising ecosystem, bridging statistical methodology and large-scale engineering. You will design advanced testing methods, build automated ML experimentation pipelines, and provide cross-functional leadership across product, data science and engineering.

Based in New York, NY, this role offers a hands-on opportunity to shape measurement and incremental

Qualifications

5+ years in Data Science or Applied Research in Ad Tech or marketplaces.
MS or PhD in a quantitative field.
Expertise in causal inference and statistics.
Programming in Python or Scala.
Experience with Spark, Snowflake, or BigQuery.
Practical experience with advanced testing methodologies.

Responsibilities

Evaluating ad delivery systems.
Driving product analytics.
Designing CUPED, sequential testing, and interleaving methods.
Building automated ML experimentation pipelines.
Defining long-term value proxy metrics.
Providing cross-functional leadership.

Skills

Statistical modeling

Causal inference

Data science

Python

Scala

Spark

BigQuery

Experimentation

ML engineering

Education

MS or PhD in a quantitative field

Tools

Python

Scala

Spark

Snowflake

BigQuery

Job description

Unity’s Ads Experimentation Platform team seeks a senior machine learning engineer to lead the 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 long-term value proxy metrics
Providing cross-functional leadership

Requirements