Senior Machine Learning Engineer, Bidding Science

Job not on LinkedIn

🕒 July 10

🏄 California, Washington – Remote

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💵 $159.6k - $239.4k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Logo of Unity

Unity

5001 - 10000 employees

Founded 2005

🏭 Manufacturing

💼 Consulting

📣 Marketing

Manufacturing • Consulting • Marketing

Unity is a leading platform providing tools and services for creators to build games, apps, and immersive experiences. With high-quality graphics, multi-platform support, and AI enhancements, Unity empowers developers in video gaming and other industries like manufacturing. Unity offers services such as Unity Engine, Unity Cloud, and Unity Grow, which include real-time 3D creation, user acquisition, and game monetization. The company also provides extensive resources, community support, and professional training for creators at all levels. Through its success plans and developer resources, Unity aids in solving complex problems and bringing ideas to life for gaming and enterprise professionals.

📋 Description

• Design, implement, and optimize core bidding algorithms and auction mechanisms • Architect and scale bid landscape forecasting capabilities • Analyze large-scale marketplace dynamics to uncover deep 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

• Hands-on experience on state-of-the-art machine learning, reinforcement learning, and control theory to complex, real-world bidding or pricing problems • Strong software engineering skills in Python and 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 working with large datasets and distributed computing frameworks (e.g., Spark, Ray, BigQuery, Flink) • Experience building real-time ad systems, specifically in DSP (Demand-Side Platform) bidding logic, survival analysis for market price estimation, or game-theoretic modeling • Experience leveraging AI tools (such as Claude Code, GitHub Copilot, and Cursor) to accelerate development

🏖️ 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 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

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