Principal ML Engineer, Ads Personalization & Modeling

Unity; Bellevue (WA); On-site; USD 197,000 - 325,000; Full time

Benefits offered by this job

Health insurance

Employee stock ownership

Commuter subsidy

Retirement plans

Generous vacation and personal days

Parental leave support

Job summary

Unity is seeking a Principal Machine Learning Engineer to join the Vector Ads Modeling team in Bellevue, WA. You will advance ads recommendation algorithms using scalable ML techniques and collaborate with engineering and product teams to bring research into production.

The role emphasizes hands-on development in Python/PyTorch, large-scale data analysis, and delivering measurable business impact. Eligible for equity and incentive plans, with base salary in a broad range depending on location

Qualifications

• Hands-on experience applying state-of-the-art ML and deep learning models to real-world problems, especially user behavior modeling.
• Proficiency in Python and PyTorch.
• Strong understanding of metrics, data analysis and distributed computing.

Responsibilities

• Identify opportunities and design 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

Python

PyTorch

Deep learning

Machine learning

User behavior modeling

Distributed computing

Model deployment

Job description

Unity is seeking a Principal Machine Learning Engineer to join the Vector Ads Modeling team in Bellevue, WA. You will advance ads recommendation algorithms using scalable ML techniques and collaborate with engineering and product teams to bring research into production.

The role emphasizes hands-on development in Python/PyTorch, large-scale data analysis, and delivering measurable business impact. Eligible for equity and incentive plans, with base salary in a broad range depending on location