Senior ML Engineer — Ads Personalization & Modeling

DataJobs; New York (NY); On-site; USD 149,000 - 245,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

Commute subsidy

Employee stock ownership

Retirement plans

Vacation & personal days

Parental leave

Office snacks

Mental Health programs

Employee Resource Groups

Global Employee Assistance Program

Training and development programs

Volunteering and donation matching

Job summary

Unity Vector in New York, NY is seeking a Senior Machine Learning Engineer to advance the Vector Ads Modeling team, focusing on ads recommendations and personalized ad experiences. This role emphasizes delivering impactful ML research and production-ready models in a fast-paced environment.

You will work with Python and PyTorch, engage in large-scale data analysis, and collaborate with engineering and product teams to push state-of-the-art models from research to production.

Qualifications

• Hands-on experience applying state-of-the-art ML and DL models to real-world problems with focus on user behavior modeling.
• Strong Python and PyTorch proficiency and familiarity with DL frameworks.
• Solid understanding of metric design, large-scale data analysis and distributed computing.

Responsibilities

• Understand the ads business, its goals, and real-time data used for optimization.
• Lead foundational research for new models and paradigms.
• Use large-scale data to validate models quickly and effectively.
• Collaborate with engineering and product teams to productionalize ML research.

Skills

User behavior modelling

Metric design

Large-scale data analysis

Distributed computing

End-to-end project delivery

Communication

Tools

Python

PyTorch

Deep learning frameworks

Job description

Unity Vector in New York, NY is seeking a Senior Machine Learning Engineer to advance the Vector Ads Modeling team, focusing on ads recommendations and personalized ad experiences. This role emphasizes delivering impactful ML research and production-ready models in a fast-paced environment.

You will work with Python and PyTorch, engage in large-scale data analysis, and collaborate with engineering and product teams to push state-of-the-art models from research to production.