Staff Machine Learning Engineer, Ads Measurement
Job Summary
Reddit is seeking a highly experienced Staff Machine Learning Engineer to lead the development of identity resolution and user matching systems using probabilistic modeling techniques. The role involves designing scalable ML workflows, overseeing model training and deployment, and guiding architectural decisions to ensure privacy compliance and system accuracy. Candidates will collaborate with cross-functional teams including product, data science, and privacy to define strategic goals and establish best practices. The position offers opportunities for professional growth, mentorship, and involvement in high-impact projects within a supportive, flexible work environment.
Required Skills
Benefits
Job Description
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
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.
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