Design and implement machine learning and optimization algorithms to improve ad quality and performance
Build, train, and evaluate models on large-scale production data
Develop online and offline evaluation frameworks to rigorously measure the impact of model and algorithm improvements
Partner closely with the product team to define optimization objectives, constraints, and trade-offs that align with product and business goals
Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven solutions

Requirements

Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or related quantitative field
Proficiency in Python, Scala or Java
Deep knowledge of machine learning, optimization, and data analysis techniques
Experience with prototyping and deploying algorithms using large-scale production data
Strong business acumen and ability to translate technical results into business impact
Experience in ad optimization stack, e.g. targeting, ranking, bidding.
Excellent communication and collaboration skills.

Benefits

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Full-time hourly employees accrue 35 days annually for paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningoptimization algorithmsdata analysis techniquesPythonScalaJavalarge-scale production dataprototyping algorithmsdeploying algorithmsevaluation frameworks

Soft Skills

communication skillscollaboration skillsbusiness acumentechnical decision-makingstakeholder engagementtranslating technical resultsdriving understandingadoption of solutions

Certifications

PhDMaster’s