
Senior Machine Learning Engineer, Vector Bidding Science
Posted 22 hours ago

Posted 22 hours ago
This is a fully remote position, open to applicants in California, +1 more state.
• 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.
• 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.
• 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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