24 days ago
Remote, United StatesMid Level
Base Salary
$215k - $275k/yr
Responsibilities
- Build statistical models and production systems that balance advertiser performance with business goals.
- Tune optimization parameters, measure internal competition, and model dynamic environments.
- Design and run experiments validating theories about the mobile ad tech economy.
- Develop applications for advertiser budget retention and growth, optimal margin allocation, and bidding innovations.
- Collaborate with engineers and cross-functional partners across the company.
- Explain statistical and machine learning concepts to technical and non-technical audiences.
- Contribute to engineering excellence through risk-driven testing, explainable systems, and design and code reviews.
Requirements
- PhD in Computer Science, Machine Learning, Economics, or a related field.
- Industry experience applying economics or machine learning to large-scale problems.
- Solid engineering and coding skills.
- Excellent team communication and collaboration skills.
- Experience with ad tech is a plus.
Benefits
- Remote-first work arrangement with US hubs in Redwood City, Los Angeles, and New York City.
- Preferred location within California.
- Attendance at in-person project meetings, regional meetups, and company-wide gatherings at least once per quarter.
- Equity and health, vision, and dental benefits associated with the employee’s country of residence.
- Benefits may include medical coverage, wellness stipends, and additional perks based on country of residence.
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