Senior ML Engineer — Real-Time Bidding & AI Systems

Unity Technologies; Mountain View (CA); On-site; USD 149,000 - 259,000; Full time

Job summary

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

You will work with large datasets to develop bidding and pacing algorithms, run offline evaluations and online experiments, and collaborate with product, infrastructure, and engineering teams to deliver measurable business

Qualifications

• Hands-on experience with state-of-the-art machine learning, reinforcement learning, and control theory for bidding/pricing problems.
• Strong software engineering skills in Python and 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.

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 impact
• Collaborate cross-functionally with product, infrastructure, and engineering teams

Skills

ML & RL

Python

PyTorch

A/B testing

Leadership

Data analysis

Tools

Spark

Ray

BigQuery

Flink

Job description

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

You will work with large datasets to develop bidding and pacing algorithms, run offline evaluations and online experiments, and collaborate with product, infrastructure, and engineering teams to deliver measurable business