Staff Machine Learning Engineer (Ads Measurement)

TL;DR

Staff Machine Learning Engineer (Ads Measurement): Building and optimizing ML solutions for ads measurement, identity matching, and privacy-preserving attribution with an accent on identity resolution and scalable modeling. Focus on architecting SOTA ML systems, driving technical strategy for the identity graph, and collaborating cross-functionally to enhance monetization.

Location: Remote (United States)

Salary: $230,000 - $322,000 USD

Company

hirify.global is a community-driven platform with over 100,000 active communities and 126 million daily active users.

What you will do

• Lead the technical strategy and architecture for ads identity modeling and other ads measurement solutions.
• Design and train advanced ML models ensuring accuracy, scalability, and compliance with privacy requirements.
• Oversee end-to-end ML workflows from data ingestion and feature engineering to deployment.
• Partner with product management, data science, and legal teams to define the long-term roadmap.
• Establish engineering best practices, code quality standards, and data governance for the identity graph.
• Mentor and coach junior engineers to foster a culture of technical excellence.

Requirements

• 7+ years of professional software engineering experience, with 3+ years focused on ML-driven systems at scale.
• Demonstrated experience architecting ads measurement modeling solutions using advanced ML techniques.
• Strong knowledge of identity resolution identifiers such as cookies, hashed emails, IP addresses, and user agents.
• Proficiency in ML frameworks like TensorFlow or PyTorch and libraries for feature engineering.
• Solid understanding of large-scale data processing tools including Spark, Kafka, Beam, or Flink.
• Must be based in the United States.

Culture & Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401k with employer match.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave and family planning support.
• Mental health and coaching benefits.
• Global benefit programs including workspace and professional development support.