Senior Machine Learning Engineer, Bidding Science

Unity; Mountain View (CA); On-site; USD 160,000 - 239,000; Full time

Benefits offered by this job

Health insurance

Stock options

Retirement plans

Vacation and personal days

Parental leave

Job summary

Unity in Mountain View, CA is seeking a Senior Machine Learning Engineer to define the technical vision and architect scalable, real-time bidding systems powered by AI, marketplace intelligence, and advanced optimization.

You will design core bidding algorithms, scale landscape forecasting, and drive offline and online evaluations while collaborating with product, infrastructure, and engineering teams to deliver measurable business impact.

Qualifications

• Hands-on experience with state-of-the-art ML, RL, and control theory applied to bidding or pricing problems.
• Strong software engineering in Python with deep learning frameworks, preferably PyTorch.
• Solid understanding of metric design, online experimentation (A/B testing), and large-scale data analysis.
• Proven ability to lead projects end-to-end and deliver measurable business impact in ambiguous technical environments.

Responsibilities

• Design, implement, and optimize core bidding algorithms and auction mechanisms.
• Architect and scale bid landscape forecasting capabilities.
• Analyze large-scale marketplace dynamics to derive insights and improve algorithms.
• Lead offline evaluations and online A/B experiments to validate performance and impact.
• Collaborate with product, infrastructure, and engineering teams.

Skills

Python

PyTorch

Machine Learning

Reinforcement Learning

Control Theory

Data Analysis

Experimentation

Tools

Spark

Ray

BigQuery

Flink

Job description

We are looking for Senior Machine Learning Engineers to join our Vector Bidding Science team. In this role, you will define the technical vision and architect the next generation of scalable real-time bidding systems powered by cutting-edge AI, marketplace intelligence, and advanced optimization frameworks.

What You'll Be Doing

• 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

What We're Looking For

• 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

You might also have

• 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

Additional Information

Relocation support is not available for this position

Annual Gross Pay: USD $159,600 - $239,400

This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.

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

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators.

If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.

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