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Reddit

Staff Machine Learning Engineer, Ads Measurement

Job Posted 15 Days Ago Reposted 15 Days Ago
Remote or Hybrid
Hiring Remotely in United States
230K-322K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
230K-322K Annually
Senior level
Design and develop measurement products for advertisers. Collaborate across teams to deliver scalable solutions while staying current with technologies.
The summary above was generated by AI
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 intelligence of Reddit’s advertising platform. We specialize in privacy-enhancing technologies, probabilistic user matching, and modeled conversions to enable measurement and delivery in a privacy-conscious world.

We’re looking for a hands-on Staff Machine Learning Engineer with deep expertise in probabilistic modeling and user matching 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 complex technical challenges directly when needed. 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 resolution, 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 resolution system
  • Mentor and coach junior engineers, fostering a culture of innovation, technical excellence, and knowledge sharing across the organization

If you're a talented software engineer looking for a new challenge, and you're passionate about building scalable, reliable products, we encourage you to apply for this exciting opportunity!

What We Offer:

  • A dynamic, supportive work environment with a diverse team of engineers and cross-functional partners
  • Opportunities for professional growth and development, with a focus on continuous learning and skill-building
  • A competitive salary and benefits package, with a focus on work-life balance and employee well-being
  • Flexible work arrangements, including remote work options, to support your individual needs and preferences
  • The chance to work on high-impact projects that drive real results for our users and advertisers

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

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:
$230,000$322,000 USD

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Top Skills

Argo
Baseplate
BigQuery
Cassandra
Docker
Druid
Go
Kafka
Kubernetes
Postgres
Python
React
Redis
Thrift

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