Senior Machine Learning Engineer, Ads Modeling
About the role
The Opportunity Unity Vector represents the next generation of our AI-powered advertising ecosystem, a forward-looking evolution of our machine learning infrastructure and models. We are seeking a Senior Machine Learning Engineer to join our Vector Ads Modeling team. In this role, you will work with a high-impact team to advance ads recommendation algorithms to deliver personalized ads experience.
Responsibilities
- Understand Unity ads business, including product offering, advertisers goals, ads serving funnel, and rich real-time and dynamic user interaction data.
- 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.
Requirements
- 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.
- Strategic Impact: Proven ability to drive projects end-to-end, solving critical cross-team problems and delivering measurable business results.
Benefits
- Comprehensive health, life, and disability insurance
- Commute subsidy
- Employee stock ownership
- Competitive retirement/pension plans
- Generous vacation and personal days
- Support for new parents through leave and family-care programs
- Office food snacks
- Mental Health and Wellbeing programs and support
- Employee Resource Groups
- Global Employee Assistance Program
- Training and development programs
- Volunteering and donation matching program
Pay
Base Salary Range $148,700 - $244,600 USD. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.