Senior ML Engineer - Real-Time Bidding & Auctions

LE130 Unity Technologies SF; Mountain View (CA); On-site; USD 149,000 - 245,000; Full time

Benefits offered by this job

Health insurance

Employee stock ownership

Competitive retirement plans

Vacation days

Parental leave

Office snacks

Job summary

Unity Technologies SF in Mountain View seeks a skilled machine learning specialist to design and optimize bidding algorithms and auction mechanisms, while architecting scalable forecasting for bid landscapes and driving data-driven improvements.

You will lead offline evaluations and live A/B experiments to validate model performance, collaborating with product, infrastructure, and engineering teams to deliver measurable business impact.

Qualifications

• Hands-on experience in ML, RL, and control theory for bidding/pricing problems.
• Strong Python software engineering and PyTorch experience.
• Solid understanding of metric design, online experimentation, and large-scale data analysis.
• Proven ability to lead projects end-to-end and deliver impact in ambiguous technical settings.

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 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

ML & RL

Python

Deep learning

A/B testing

Data analysis

Leadership

Tools

PyTorch

Spark

Ray

BigQuery

Flink

Job description

Unity Technologies SF in Mountain View seeks a skilled machine learning specialist to design and optimize bidding algorithms and auction mechanisms, while architecting scalable forecasting for bid landscapes and driving data-driven improvements.

You will lead offline evaluations and live A/B experiments to validate model performance, collaborating with product, infrastructure, and engineering teams to deliver measurable business impact.