Staff Machine Learning Engineer – Ads Targeting

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Ads Targeting 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 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.

Your 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

Required Qualifications

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 Health benefits
Retirement Savings plan with matching contributions
Workspace benefits for your home office
Personal Professional development funds
Family Planning Support
Flexible Vacation Reddit Global Days Off

Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.

Originally posted on Himalayas

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Ads Machine Learning Engineer, Staff Machine Learning Engineer, Machine Learning Engineer, Senior Machine Learning Engineer, Machine Learning Engineering Leader 

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