Senior Staff Machine Learning Engineer, Ads Targeting and Retrieval

About The Position

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 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us! Ads Targeting and Retrieval ML engineers are focused on designing and implementing ML systems and solutions for improving targeting products. The team’s projects involve building large-scale offline & online retrieval systems across several dimensions to improve contextual & behavioral targeting for targeting products. As a Senior Staff Machine Learning Engineer in the Ads Targeting Quality team, you will own and execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with ML-driven solutions.

Requirements

Tech lead experience in a product ML team driving the research and technical direction to improve business outcomes using applied ML
Experience with ads retrieval modeling, ranking or recommendation systems
Experience with deep learning models for retrieval (two tower, GNNs, transformers, LLMs)
8+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
5+ years of experience building machine learning models with Tensorflow/Pytorch
Experience with large scale data processing & pipeline orchestration tools like Spark, Dataflow, Kubeflow, Airflow, BigQuery
Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research

Nice To Haves

Experience working with nearest-neighbor search systems is a big plus
Experience with deep learning, representation learning or transfer learning is preferred
Tech lead experience in a product team is strongly preferred

Responsibilities

Own end-to-end design and execution of ML-based targeting products like auto targeting, user lookalikes etc.
Drive research direction and technical roadmap for complex projects, lead day to day project execution, and contribute meaningfully to team vision and strategy
Be a thought leader for the team and collaborate closely with product managers and cross-functional partners to develop and prioritize the roadmap based on data analysis, industry research and product research
Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models, LLMs) with a focus on improving advertiser outcomes
Provide mentorship to junior MLEs
Own offline & online experimentation of ML models for improving targeting products
Work on large scale data systems, and product integration
Collaborate closely with multiple stakeholders cross product, engineering, research and marketing

Benefits

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

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