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Machine Learning Engineer (Fully Remote)

Reddit, Inc.

Ontario
  • Remote job

Reddit is a community of communities. 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. Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. You can apply to work remotely in any country in which we have a physical presence.

Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to bring community, belonging, and empowerment to everyone in the world. Reddit users submit, vote, and comment on content, stories, and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with over 50 million daily active users, it is home to the most open and authentic conversations on the internet. Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with more than 100 million daily active uniques, it is home to the most open and authentic conversations on the internet. We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. We’re currently hiring across multiple teams including: This horizontal ML team in the Ads Measurement org works on proving the value of Reddit Ads to advertisers while ensuring privacy compliance. Their projects address challenges in signals, privacy, and identity, including Modeled Identity, Modeled Conversions, and enhancements for ATT opt-out utility.

  • This team designs and builds large-scale ML systems to improve targeting products. Their work spans offline and online retrieval systems that enhance contextual and behavioral targeting, helping advertisers reach the most relevant audiences.
  • The Recommendations and Forecasting team builds ML-driven tools for advertisers and sales, while the Bidding/Pacing team develops algorithms and customer-facing products like TCPA, TROAS, and performance advertising solutions. Ads Marketplace Quality Team _

Join the Ads team as a Machine Learning Engineer and become a key contributor to Reddit’s business. In this hands-on role, you will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production. Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization.

Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production.

Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance.

Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions.

Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines.

Research new algorithms, stay up-to-date with state-of-the-art ML techniques, and contribute to the team’s strategy and roadmap.

At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.

Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices.

Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms.

Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions.

Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems.

Bonus Points:

Experience or interest in the advertising business and understanding customer needs

An advanced degree (MS/PhD) in a quantitative field.

Familiarity with distributed systems and large-scale data processing technologies (e.g., In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors .

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.

Vacancy posted more than 2 months ago
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