Head of ML for User Value & Growth

Unity; Mountain View (CA); On-site; USD 260,000 - 380,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

Employee stock ownership

Generous vacation and personal days

Commute subsidy

Job summary

Unity seeks a visionary Director of Machine Learning to lead the User Value team, bridging complex ML paradigms with product strategy in Mountain View, CA. You will scale a team of scientists and ML engineers to translate models into high-value user acquisition for advertisers.

You will define a 1–3 year ML roadmap, mentor talent, and partner with Product, Design, and Data Science to uncover opportunities where ML drives tangible business value, while balancing innovation with robust evaluation.

Qualifications

• 8+ years of experience in machine learning and software engineering.
• Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or related field, or equivalent practical experience.
• Ability to articulate complex technical concepts clearly to non-technical executives and cross-functional partners.
• Track record of shipping ML systems at scale in personalization, recommendation, information retrieval, or behavioral modeling.

Responsibilities

• Define 1-3 year technical roadmap for user value modeling that aligns with product and business goals.
• Lead, mentor, recruit, and retain a high-performing team of scientists and ML engineers.
• Partner with Product, Design and Data Science to identify ML opportunities that drive customer value and retention.
• Oversee scalable ML systems deployment and maintenance, including personalization, recommendations, multi-task learning, reinforcement learning, and LLM integration.

Skills

Leadership

Team management

ML systems

Product mindset

Cross-functional

Education

MS/PhD in CS/ML

Tools

ML frameworks

LLM integration

Job description

Unity seeks a visionary Director of Machine Learning to lead the User Value team, bridging complex ML paradigms with product strategy in Mountain View, CA. You will scale a team of scientists and ML engineers to translate models into high-value user acquisition for advertisers.

You will define a 1–3 year ML roadmap, mentor talent, and partner with Product, Design, and Data Science to uncover opportunities where ML drives tangible business value, while balancing innovation with robust evaluation.