Staff Machine Learning Engineer, Ads Measurement Modeling

Reddit, Inc.

Staff Machine Learning Engineer at Reddit leading ads identity modeling solutions architecture. Collaborating with cross-functional teams to define strategy and best practices.

Posted 5/4/2026full-timeRemote • 🇺🇸 United StatesLead💰 $230,000 - $322,000 per yearWebsite

Tech Stack

Tools & technologies

KafkaPyTorchSparkTensorflow

About the role

Key responsibilities & impact

Lead the technical strategy and architecture for our company’s ads identity modeling solutions and other related ads measurement models
Design and train advanced ML models while ensuring accuracy, scalability, and compliance with privacy requirements, managing trade-offs between complexity, latency, and prediction quality
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.

Requirements

What you’ll need

7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale
Demonstrated experience architecting and building ads measurement modeling solutions leveraging advanced machine learning 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.

Benefits

Comp & perks

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningads measurement modelingfeature engineeringmodel trainingmodel evaluationmodel deploymentdata ingestiondata processingdistributed computingarchitecting ML systems

Soft Skills

technical leadershipmentoringcollaborationcommunicationinnovationknowledge sharingcross-functional teamworkstakeholder influenceproblem-solvingstrategic planning