Staff ML Engineer, Ads Personalization & Modeling

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

Benefits offered by this job

Health insurance

Stock options

Generous vacation and personal days

Free snacks and office food

Training and development programs

Commute subsidy

Retirement/pension plans

Parental leave

Job summary

Unity is seeking a Staff Machine Learning Engineer to join the Vector Ads Modeling team in Mountain View. You will advance ads recommendation algorithms to deliver personalized ads experiences and design modeling roadmaps addressing customer needs.

You will drive foundational research for new models, leverage large-scale compute with rich user data, and collaborate with engineering and product teams to productionalize research. Strong Python and PyTorch skills are required.

Qualifications

• 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.
• Strong English communication for professional exchanges with worldwide colleagues.

Responsibilities

• Join Vector Ads Modeling team to advance ads recommendation algorithms for personalized ads experience.
• Identify opportunities and design modeling roadmap addressing customer needs.
• Drive foundational research for new models and paradigms.
• Leverage rich user data and large-scale compute to validate models rapidly.
• Collaborate with engineering and product teams to productionalize research.

Skills

Machine learning

Deep learning

Modeling

Python

PyTorch

Distributed computing

Tools

Python

PyTorch

Job description

Unity is seeking a Staff Machine Learning Engineer to join the Vector Ads Modeling team in Mountain View. You will advance ads recommendation algorithms to deliver personalized ads experiences and design modeling roadmaps addressing customer needs.

You will drive foundational research for new models, leverage large-scale compute with rich user data, and collaborate with engineering and product teams to productionalize research. Strong Python and PyTorch skills are required.