Senior Machine Learning Engineer, Vector Bidding Science

Posted Sep 17

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Establish the technical vision and design the next generation of scalable real-time bidding systems driven by AI, marketplace intelligence, and advanced optimization techniques.

• Enhance Unity’s high-performance ads engine.

• Create cutting-edge bidding and pacing algorithms utilizing extensive datasets and rich signals to optimize returns for advertisers.

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

• Develop and scale bid landscape forecasting capabilities.

• Examine large-scale marketplace dynamics to extract insights and implement algorithmic enhancements.

• Conduct offline evaluations and online A/B testing to validate model performance and achieve measurable business outcomes.

• Collaborate across various functions with product, infrastructure, and engineering teams.


⛳️ Requirements

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

• Proficient software engineering skills in Python.

• Experience with deep learning frameworks, particularly PyTorch.

• Strong grasp of metric design, online experimentation frameworks (A/B testing), and large-scale data analytics.

• Demonstrated ability to lead projects from start to finish and create measurable business impact in a complex technical environment.

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

• Experience in developing real-time ad systems, specifically 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.

• Leave and family-care programs for new parents.

• Office snacks available.

• Mental health and wellbeing programs and support.

• Employee Resource Groups.

• Global Employee Assistance Program.

• Training and development opportunities.

• Volunteering and donation matching program.

• Equity awards.

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

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