Staff ML Engineer - Ads Modeling & Personalization at Scale

LE130 Unity Technologies SF; Mountain View (CA); On-site; USD 172,000 - 284,000; Full time

Benefits offered by this job

Comprehensive health insurance

Commute subsidy

Employee stock ownership

Competitive retirement plans

Generous vacation & personal days

Parental leave programs

Employee resource groups

Global professional development

Job summary

Unity Vector, the AI-powered ads ecosystem, seeks a Staff Machine Learning Engineer to advance ads recommendation algorithms and deliver personalized experiences. You will join a high-impact Vector Ads Modeling team driving modeling roadmaps and productionizing research.

Expect hands-on ML/DL work using Python and PyTorch, with a focus on metrics, large-scale data analysis, and distributed computing. You’ll lead end-to-end projects that deliver measurable business impact in a collaborative

Qualifications

• Hands-on experience applying state-of-the-art ML and DL models to real-world problems.
• Proficiency in Python and PyTorch.
• Strong understanding of metric design and large-scale data analysis.
• Experience delivering cross-team projects with measurable impact.

Responsibilities

• 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.
• Collaborate with engineering and product teams to productionalize research.

Skills

Python

PyTorch

Deep learning

Machine learning

Distributed computing

Data analysis

Cross-functional collaboration

Model deployment

Job description

Unity Vector, the AI-powered ads ecosystem, seeks a Staff Machine Learning Engineer to advance ads recommendation algorithms and deliver personalized experiences. You will join a high-impact Vector Ads Modeling team driving modeling roadmaps and productionizing research.

Expect hands-on ML/DL work using Python and PyTorch, with a focus on metrics, large-scale data analysis, and distributed computing. You’ll lead end-to-end projects that deliver measurable business impact in a collaborative