Sr. Machine Learning Engineer, Ads Modeling
Unity · Mountain View, CA · 4 days ago
Information Technology$210k–$273k/yrFull-time
About the role
The Senior Machine Learning Engineer will work with a high-impact team to advance ads recommendation algorithms, focusing on user behavior modeling. The role involves understanding Unity's ads business, driving foundational research, and collaborating with engineering and product teams.
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.
Qualifications
- Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Minimum 5 years of relevant experience in machine learning and/or deep learning.
- Experience with large-scale data processing and machine learning frameworks.
- Strong problem-solving skills and the ability to work independently and collaboratively.
Skills
- Python programming.
- Experience with PyTorch or similar deep learning frameworks.
- Understanding of machine learning algorithms and their applications.
- Experience with distributed computing and cloud platforms.
Benefits
At Unity, we offer a comprehensive benefits package including:
- Comprehensive health, life, and disability insurance.
- Commute subsidy.
- Employee stock ownership plan.
- 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.