Senior Machine Learning Engineer, Vector Bidding Science

This is a fully remote position, open to applicants in Washington.

📋 Description

• Establish the technical vision and design the next generation of scalable real-time bidding systems.

• Enhance Unity’s high-scale advertising engine utilizing extensive datasets and rich signals.

• Create cutting-edge bidding and pacing algorithms that optimize returns for advertisers.

• Design, execute, and refine core bidding algorithms and auction mechanisms.

• Build and expand forecasting capabilities for bid landscapes.

• Investigate large-scale marketplace dynamics to derive insights and implement algorithmic enhancements.

• Conduct offline evaluations and online A/B tests to verify model performance and produce measurable business outcomes.

• Engage collaboratively with product, infrastructure, and engineering teams across the organization.

⛳️ Requirements

• Practical experience with advanced machine learning, reinforcement learning, and control theory applied to complex, real-world bidding or pricing challenges.

• Proficient software engineering skills in Python.

• Familiarity with deep learning frameworks, preferably PyTorch.

• Strong grasp of metric design principles.

• Experience with online experimentation frameworks (A/B testing).

• Background in large-scale data analysis.

• Demonstrated ability to manage projects from inception to completion and achieve measurable business outcomes in a complex technical environment.

• Experience with large datasets and distributed computing frameworks such as Spark, Ray, BigQuery, or Flink.

• Background in developing real-time advertising systems, particularly DSP bidding logic, survival analysis for market price estimation, or game-theoretic modeling.

• Experience utilizing AI tools like Claude Code, GitHub Copilot, and Cursor.

• Adequate proficiency in English for professional verbal and written communication.

🏝️ Benefits

• 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 snacks available.

• Mental Health and Wellbeing programs and support.

• Employee Resource Groups.

• Global Employee Assistance Program.

• Training and development programs.

• Volunteering and donation matching program.

• Equity awards.

• Participation in company incentive plans, such as annual discretionary bonuses or sales commissions.