Senior ML Engineer: Real-Time Bidding & AI Systems

Unity; Washington; On-site; USD 180,000 - 240,000; Full time

Job summary

Unity is seeking a Senior Machine Learning Engineer to join the Vector Bidding Science team in Washington. You will define the technical vision and architect scalable real-time bidding systems powered by AI, marketplace intelligence, and advanced optimization frameworks.

You will drive offline evaluations, online experiments, and cross-functional collaboration to maximize advertiser returns. You’ll apply state-of-the-art ML, reinforcement learning, and control theory to bidding and pricing

Qualifications

• Hands-on experience in 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

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

Skills

Machine Learning

Reinforcement Learning

Control Theory

Python

PyTorch

A/B Testing

Data Analysis

Project Leadership

Spark

BigQuery

Flink

Ray

Tools

Spark

BigQuery

Flink

Ray

Job description

Unity is seeking a Senior Machine Learning Engineer to join the Vector Bidding Science team in Washington. You will define the technical vision and architect scalable real-time bidding systems powered by AI, marketplace intelligence, and advanced optimization frameworks.

You will drive offline evaluations, online experiments, and cross-functional collaboration to maximize advertiser returns. You’ll apply state-of-the-art ML, reinforcement learning, and control theory to bidding and pricing