Senior Machine Learning Engineer, Vector Bidding Science

Unity

. Define the technical vision and architect the next generation of scalable real-time bidding systems powered by AI, marketplace intelligence, and advanced optimization frameworks .

Posted 9/17/2026full-timeRemote • California • United StatesSenior💰 $148,700 - $244,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting scalable real-time bidding systems using AI and advanced optimization frameworks, with a strong focus on machine learning, data analysis, and algorithm development. Proven ability to lead projects and deliver measurable business impact through collaboration and experimentation.

Highest-signal resume keywords

Machine LearningPython ProgrammingDeep Learning FrameworksLarge-Scale Data AnalysisReal-Time Ad Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Reinforcement LearningControl TheoryBidding AlgorithmsAuction MechanismsMetric DesignA/B TestingDistributed ComputingSparkRayBigQuery

Soft Skills

Project LeadershipCollaboration

Tools & Technologies

PyTorchClaude CodeGitHub CopilotCursor

Industry Keywords

Real-Time BiddingDSP Bidding LogicSurvival AnalysisGame-Theoretic Modeling

Tech Stack

Tools & technologies

BigQueryPythonPyTorchRaySparkUnity

About the role

Key responsibilities & impact

Define the technical vision and architect the next generation of scalable real-time bidding systems powered by AI, marketplace intelligence, and advanced optimization frameworks
Advance Unity’s high-scale ads engine
Develop state-of-the-art bidding and pacing algorithms using massive datasets and rich signals to maximize advertisers’ returns
Design, implement, and optimize core bidding algorithms and auction mechanisms
Architect and scale bid landscape forecasting capabilities
Analyze large-scale marketplace dynamics to uncover insights and deliver algorithmic improvements
Drive offline evaluations and online A/B experiments to validate model performance and deliver measurable business impact
Collaborate cross-functionally with product, infrastructure, and engineering teams

Requirements

What you’ll need

Hands-on experience in state-of-the-art machine learning, reinforcement learning, and control theory applied to complex, real-world bidding or pricing problems
Strong software engineering skills in Python
Experience with deep learning frameworks, preferably PyTorch
Solid understanding of metric design, online experimentation frameworks (A/B testing), and large-scale data analysis
Proven ability to lead projects end-to-end and deliver measurable business impact in an ambiguous technical landscape
Experience with large datasets and distributed computing frameworks such as Spark, Ray, BigQuery, or Flink
Experience building real-time ad systems, specifically DSP bidding logic, survival analysis for market price estimation, or game-theoretic modeling
Experience leveraging AI tools such as Claude Code, GitHub Copilot, and Cursor
Sufficient knowledge of English for professional verbal and written exchanges

Benefits

Comp & perks

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 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
Equity awards
Participation in company incentive plans, such as annual discretionary bonuses or sales commissions