Senior Machine Learning Engineer, Vector Bidding Science

Dice is seeking Senior Machine Learning Engineers to join their Vector Bidding Science team. In this role, you will define the technical vision and architect scalable real-time bidding systems, developing algorithms that maximize advertisers' returns using advanced AI and marketplace intelligence.

Responsibilities:

• 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