Staff Machine Learning Engineer - Ads Targeting

March 21

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Reddit, Inc.

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Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media

501 - 1000

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 • 401k Matching • Workspace benefits for your home office • Personal & Professional development funds • Family Planning Support • Flexible Vacation (please use them!) & Reddit Global Wellness Days • 4+ months paid Parental Leave • Paid Volunteer time off