Senior Machine Learning Engineer (Adtech)

TL;DR

Senior Machine Learning Engineer (Adtech): Building and evolving a SOTA machine learning platform and discriminative/generative models for advertising performance with an accent on conversion modeling and realtime inferencing. Focus on optimizing ad performance through deep learning, solving complex attribution problems, and designing low-latency distributed systems.

Location: Hybrid in San Jose, United States (Monday-Thursday in office)

Salary: $148,750 – $361,000 annually

Company

hirify.global is the #1 TV streaming platform in the U.S., Canada, and Mexico, connecting consumers, content publishers, and advertisers within the TV ecosystem.

What you will do

• Build SOTA deep learning discriminative and generative models for image and video ads to optimize performance.
• Develop and evolve a SOTA machine learning platform from feature generation to realtime inferencing.
• Solve complex advertising problems involving conversion modeling, attribution methodologies, and forecasting.
• Implement yield and margin optimization and conduct A/B and multivariate testing.
• Design and deploy complex models at large scale while maintaining low latencies.

Requirements

• BS or higher in CS, ECE, or a related field.
• 5+ years of experience in building ML platforms or applying Deep Learning methodologies.
• Strong grasp of core statistical techniques and SOTA Deep Learning models.
• Ability to communicate and collaborate cross-functionally.
• Must be based in or able to work from the San Jose office (Hybrid: Mon-Thu).

Nice to have

• MS or higher in CS, ECE, or a related field.
• Experience in the Advertising domain.
• Contributions to open-source ML projects.

Culture & Benefits

• Hybrid work approach with flexible Fridays.
• Comprehensive healthcare (medical, dental, and vision).
• Retirement options including 401(k).
• Equity awards and life insurance.
• Paid time off, parental leave, and wellness benefits.
• Pragmatic, fast-paced, and collaborative environment focused on problem-solving.