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About the Role
Unity's Advertiser Growth team uses AI and statistical optimization to maximize advertiser returns on the Unity ad network. This role will lead the design of core optimization algorithms, bridging advanced quantitative methodology with large-scale engineering for real-time production systems.
Responsibilities
- Design and ship multi-objective campaign optimization algorithms considering advertiser goals and constraints.
- Develop exploration-exploitation strategies using methods like bandits or reinforcement learning.
- Create efficient methodologies to measure the long-term impact of model and product changes.
- Define metrics frameworks for guiding launch decisions based on model improvements and business results.
- Build LLM agent systems to automate campaign diagnostics and setup recommendations.
- Serve as a lead subject matter expert for ML, Product, and Engineering partners, ensuring quantitative rigor.
Requirements
- 5+ years in machine learning, data science, or applied research, ideally within ad tech, marketplaces, or large-scale optimization domains.
- MS or PhD in a quantitative field (Computer Science, Statistics, Operations Research, Economics, or equivalent).
- Quantitative depth: Ability to design algorithms for competing goals, exploration-exploitation strategies, long-term impact measurement, and metrics frameworks.
- Agentic system experience: Hands-on experience building LLM-based agentic systems for diagnostics, recommendations, or workflow automation.
- Technical proficiency: Strong programming skills in Python or Scala, and experience with large-scale data processing frameworks (Spark, Snowflake, or BigQuery).
- Production track record: History of shipping ML systems on high-volume, real-time data with measurable business impact.
- Strategic leadership: Ability to translate complex quantitative concepts into clear product roadmaps and mentor engineers.
Skills
- Machine Learning
- Data Science
- Applied Research
- Ad Tech
- Marketplaces
- Optimization
- Multi-objective Optimization
- Exploration-Exploitation
- Reinforcement Learning
- Bandits
- Long-term Impact Measurement
- Metrics Frameworks
- LLM
- Agentic Systems
- Python
- Scala
- Spark
- Snowflake
- BigQuery
- Dynamic Ads
- Creative Optimization
- Bidding Systems
- Pricing Systems
- Pacing Systems
- Auction Systems
- LTV Prediction
- Surrogate Metric Design
- Reinforcement Learning
- Contextual Bandits
- LLM Fine-tuning
- Multi-agent Orchestration
Experience Level
- Senior
Education Level
- MS or PhD in a quantitative field
Salary/Compensations
- USD $159,100 - $238,700
Benefits
- Equity awards
- Company incentive plans (annual discretionary bonuses or sales commissions)
- Comprehensive health, life, and disability insurance
- Commute subsidy
- Employee stock ownership
- Competitive retirement/pension plans
- Generous vacation and personal days
- Support for new parents through leave and family-care programs
- Office food snacks
- Mental Health and Wellbeing programs and support
- Employee Resource Groups
- Global Employee Assistance Program
- Training and development programs
- Volunteering and donation matching program
About the Company
- Unity is the world's leading game engine, powering play for over 3 billion consumers monthly across mobile, PC, console, XR, and Web.
- Unity also enables teams in industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D.
- For more information, please visit www.unity.com.
Equal Opportunity
- Unity is a proud equal opportunity employer.
- We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.
- Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators.
- If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.