Staff Machine Learning Engineer, Ads Targeting

November 21

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

📋 Description

• 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

🎯 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) • 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models • 2+ 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 nearest-neighbor search systems is a big plus • Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research • Experience with deep learning, representation learning or transfer learning is preferred • Tech lead experience in a product team is strongly preferred

🏖️ 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