Senior Staff Machine Learning Engineer, Ads Measurement

3 Months ago • 8 Years + • Research Development • $266,000 PA - $372,400 PA

Job Summary

Job Description

The Ads Measurement Org is dedicated to enhancing the efficiency and user-friendliness of their advertising platform, specializing in privacy enhancing technologies, identity resolution, and modeled conversions. This role requires a Senior Staff Machine Learning Engineer to lead end-to-end Ads initiatives, driving architectural decisions and mentoring peers. The engineer will develop and refine ML models for probabilistic user matching, oversee end-to-end ML workflows, partner with cross-functional teams to define roadmaps, and mentor junior engineers. The candidate will be responsible for the technical strategy and architecture for the company’s identity resolution system.
Must have:
  • 8+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale
  • Experience architecting and building identity graphs or similar solutions using probabilistic techniques
  • Strong knowledge of various identifiers (cookies, hashed emails, phone numbers, IP addresses, user agents)
  • Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and related libraries
  • Solid understanding of large-scale data processing, distributed computing, and data infrastructure
  • Proven technical leadership in cross-functional settings
  • Excellent communication, mentoring, and collaboration skills
Perks:
  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k Match
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Reddit Global Days off
  • Generous paid Parental Leave
  • Paid Volunteer time off

Job Details

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

The Ads Measurement Org is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. We specialize in privacy enhancing technologies, identity resolution, and modeled conversions.

We’re looking for a hands-on Senior Staff Machine Learning Engineer with deep expertise in identity resolution and graph-based systems, who can lead end-to-end Ads initiatives across engineering and cross-functional teams. You will drive architectural decisions, mentor your peers, and dive into technical challenges directly when the team needs it. Our diverse group of engineers, product managers, data scientists, and ads specialists is excited to welcome you on board!

Minimum Qualifications:

  • 8+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale
  • Demonstrated experience architecting and building identity graphs, device graphs, or similar identity matching solutions leveraging probabilistic techniques
  • Strong knowledge of various identifiers (cookies, hashed emails, phone numbers, IP addresses, user agents) and their use in identity resolution
  • Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference
  • Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink)
  • Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal)
  • Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for identity resolution

Responsibilities:

  • Lead the technical strategy and architecture for our company’s identity resolution system, ensuring accuracy, scalability, and compliance with privacy requirements
  • Develop and refine ML models for probabilistic user matching using multiple identifiers (cookies, IP addresses, hashed emails, phone numbers, user agents) 
  • Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment—optimizing for performance and cost
  • Partner with cross-functional teams (e.g., product management, data science, platform engineering, privacy, legal) to define the roadmap and set long-term goals
  • Establish engineering best practices, code quality standards, and data governance guidelines to ensure maintainability and trustworthiness of the identity graph
  • Mentor and coach junior engineers, fostering a culture of innovation, technical excellence, and knowledge sharing across the organization

Benefits:

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k Match
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Reddit Global Days off
  • Generous paid Parental Leave  
  • Paid Volunteer time off

#LI-Remote #LI-AK1 

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