Principal Machine Learning Engineer (Ads Modeling)

Unity; Mountain View (CA); On-site; USD 230,000 - 310,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

Generous vacation

Employee stock ownership

Training and development

Commute subsidy

Pension plans

Parental leave

Mental health programs

Employee assistance program

Volunteer & donation matching

Job summary

Unity Technologies seeks a Principal Machine Learning Engineer to advance ads recommendation algorithms for personalized experiences and to define a modeling roadmap addressing customer needs. You will drive foundational research and collaborate with engineering and product teams to productionize research, leveraging large-scale data and computronics to validate models rapidly.

The role calls for hands-on expertise in modern ML, DL, and user behavior modeling, with strong Python/PyTorch skills.

Qualifications

• Proven hands-on experience applying state-of-the-art ML and deep learning to real-world problems.
• Expertise in user behavior modeling and recommender systems.
• Proficiency in Python and PyTorch.

Responsibilities

• Lead end-to-end ML projects from problem framing to deployment.
• Advance ads recommender algorithms for personalized experiences.
• Collaborate with engineering and product teams to productionize research.
• Validate models with large-scale data and compute resources.

Skills

Machine learning

Deep learning

Python

PyTorch

User behavior modeling

Tools

TensorFlow

Job description

• We are seeking a Principal Machine Learning Engineer to join our Vector Ads Modeling team. In this role, you will work with a high-performing high-impact team to advance ads recommendation algorithms to deliver personalized ads experience


• Identity opportunities and design modeling roadmap that addresses customer needs


• Drive foundational research for new models and paradigms


• Leverage rich user data and large-scale compute to validate models rapidly


• Collaborate closely with engineering and product teams to productionalize research

Benefits

• Comprehensive health, life and disability insurance


• Employee stock ownership


• Generous vacation and personal days


• Office food and free snacks, lots of health options!


• Employee Resource Groups


• Training and development programs


• Commute subsidy


• Competitive retirement/pension plans


• Paid leave for new parents


• Mental Health and Wellbeing programs and support


• Global Employee Assistance Program


• Volunteering and donation matching program

Strategic Impact

Proven ability to drive projects end-to-end, solving critical cross-team problems and delivering measurable business results

Expertise

Hands-on experience applying state-of-the-art machine learning and deep learning models to complex real-world problems, specifically in the domains of user behavior modeling. Proficiency in Python, Pytorch and deep learning frameworks

Data & Analytics

Solid understanding of metric design, large-scale data analysis, and distributed computing frameworks