Staff 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 Staff 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.
Responsibilities
- 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.
Requirements
- 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.
- Solid understanding of metric design, large-scale data analysis, and distributed computing frameworks.
- Proven ability to drive projects end-to-end, solving critical cross-team problems and delivering measurable business results.
Pay
Gross Annual Salary: Zone A: $218,400 - $283,900 USD Zone B: $194,100 - $252,300 USD Zone C: $172,200 - $223,900 USD This range reflects the anticipated base salary for this position. 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.
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