3 months ago

Staff Machine Learning Engineer, Ads Measurement Modeling

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 55 minutes agoStatus: Live

Job Summary

Lead the technical strategy and architecture for ads identity modeling and related ads measurement models within Reddit's Ads Measurement Org. Design and train advanced ML models at scale, ensure privacy compliance, manage end-to-end ML workflows, and collaborate cross-functionally to align roadmaps and uphold engineering excellence in identity resolution.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•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

Pay and Benefits

Salary: USD 230,000 - 322,000 annually

Perks:Health Insurance401kPaid LeaveParental Leave

Key Requirements

•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)

Experience:7+ yearsAdvertisingMachine learningIdentity modeling

Skills:CommunicationMentoringLeadershipCollaboration

Languages:English

Tech Stack:TensorFlowPyTorchSparkKafkaBeamFlink

Company Brief

Operates Reddit, a large online community and discussion platform where users submit content, comment, and vote across topic-based communities (subreddits); monetizes via advertising, premium subscriptions, and awards.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2005

Website LinkedIn

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