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Position: Staff Machine Learning Engineer - Ads Targeting
Institution: Reddit, Inc.
Location: Ontario, Canada
Duties: 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
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
   
Text: Staff Machine Learning Engineer - Ads Targeting 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 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
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