Senior Machine Learning Engineer, Ads Modeling

Unity Vector’s Ads Modeling team is seeking a Senior Machine Learning Engineer to advance ads recommendation algorithms that enable more personalized ad experiences. The role combines ads business understanding with foundational modeling research, fast model validation using large-scale compute, and the productionization of research in partnership with engineering and product teams.

Role Focus

You will work on ads recommendation modeling while building a strong understanding of how the ads business operates end-to-end. This includes translating advertisers’ goals and the ads serving funnel into models that leverage rich real-time and dynamic interaction signals.

Responsibilities

• Develop a deep understanding of the ads business, including the product offering, advertisers’ goals, the ads serving funnel, and rich real-time and dynamic user interaction data.
• Lead foundational research efforts for new models and modeling paradigms.
• Use 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 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.

Technologies

• Python
• PyTorch

Location and Compensation

Location: Mountain View, CA (onsite)

Gross Annual Salary (Base):

• Zone A: $188,200 - $244,600 per year
• Zone B: $167,200 - $217,300 per year
• Zone C: $148,700 - $193,300 per year

The stated range represents the anticipated base salary for this position. In addition to base salary, the role may be eligible for equity awards and participation in company incentive plans, such as annual discretionary bonuses or sales commissions.

Final compensation will depend on 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