Principal ML Engineer for Ads Modeling and Personalization

DataJobs; Mountain View (CA); On-site; USD 223,000 - 325,000; Full time

Benefits offered by this job

Comprehensive health, life, and long‑h

Commute subsidy

Employee stock ownership

Competitive retirement/pension plans

Generous vacation and personal days

Leave and family-care programs

Office food snacks

Mental Health and Wellbeing programs

Employee Resource Groups

Global Employee Assistance Program

Training and development programs

Volunteering and donation matching

Job summary

Unity Technologies SF in Mountain View, CA seeks a Principal Machine Learning Engineer to advance Unity Vector Ads Modeling and improve ads recommendation algorithms powering personalized experiences. This onsite role blends research depth with engineering impact and offers growth opportunities through a comprehensive benefits package.

You will design modeling roadmaps, move research into production, and collaborate across engineering and product teams.

Qualifications

• Hands-on experience applying state-of-the-art ML and deep learning to real problems, especially user behavior modeling.
• Proficiency in Python and PyTorch.
• Strong understanding of metric design, large-scale data analysis, and distributed computing.
• Able to drive projects end-to-end with cross-team collaboration and delivering measurable business results.

Responsibilities

• Identify opportunities and design a modeling roadmap addressing customer needs.
• Drive foundational research for new models and paradigms.
• Leverage rich user data and large-scale compute to validate models rapidly.
• Collaborate with engineering and product teams to productionalize research.

Skills

State-of-the-art ML

User behavior modeling

Python

PyTorch

Distributed computing

End-to-end delivery

Tools

Python

PyTorch

Job description

Unity Technologies SF in Mountain View, CA seeks a Principal Machine Learning Engineer to advance Unity Vector Ads Modeling and improve ads recommendation algorithms powering personalized experiences. This onsite role blends research depth with engineering impact and offers growth opportunities through a comprehensive benefits package.

You will design modeling roadmaps, move research into production, and collaborate across engineering and product teams.