Senior Machine Learning Engineer (Ads Modeling)

Unity; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Employee stock options

Generous vacation days

Office snacks

Employee Resource Groups

Training programs

Commute subsidy

Retirement plans

Parental leave

Mental health support

Employee assistance program

Volunteer and donation matching

Job summary

Unity is seeking a Senior Machine Learning Engineer for the Vector Ads Modeling team in Mountain View, CA. You will advance ads recommendation algorithms, leveraging real-time user data and large-scale compute to deliver personalized ad experiences.

You will drive foundational research, understand the ads business, and collaborate with engineering to productionalize research, contributing to measurable business outcomes.

Qualifications

• Proven research background in machine learning with publications or equivalent.
• Experience applying ML/ DL models to real-world problems at scale.
• Strong collaboration with product and engineering teams.

Responsibilities

• Understand Unity Ads business and real-time data for modeling.
• Drive foundational research for new models and paradigms.
• Leverage large-scale compute to validate models rapidly.
• Collaborate with engineering to productionalize research.

Skills

Python

PyTorch

Deep learning

Distributed computing

Data analysis

Tools

TensorFlow

Job description

• 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
• 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

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 resultsData & Analytics: Solid understanding of metric design, large-scale data analysis, and distributed computing frameworksExpertise: 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