Senior ML Engineer, Ads Personalization & Ranking

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

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

Stock ownership

Retirement plans

Generous vacation

Parental leave

Commute subsidy

Office snacks

Wellbeing programs

Volunteer programs

Job summary

Unity Technologies in Mountain View, CA is seeking a Senior ML Engineer to build and operate large-scale Ads delivery and optimization systems across Unity's platforms.

You will design user understanding models, monitor performance, and collaborate with leads to shape long-term direction, while translating complex ideas for non-engineering stakeholders. A MS/PhD in CS/ML and 5+ years' experience are required.

Qualifications

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience.
• 5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
• 3+ years of experience in content understanding, behavior modeling, user profiling, and cohort analysis.
• Proficiency in one or more programming languages such as Python, Go, Scala, C++.

Responsibilities

• Design, implement, and maintain user understanding models.
• Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback.
• Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.
• Effectively communicate complex technical concepts to non-engineering stakeholders.

Skills

Python

Go

Scala

C++

Data analysis

Education

MS or PhD in Computer Science, Machine Learning, Statistics, or related field

Job description

Unity Technologies in Mountain View, CA is seeking a Senior ML Engineer to build and operate large-scale Ads delivery and optimization systems across Unity's platforms.

You will design user understanding models, monitor performance, and collaborate with leads to shape long-term direction, while translating complex ideas for non-engineering stakeholders. A MS/PhD in CS/ML and 5+ years' experience are required.