Senior Machine Learning Engineer

Summary

Join Reddit's Ads Targeting team as a Senior Machine Learning Engineer and contribute to building cutting-edge ML systems for improving targeting products. You will own the end-to-end execution of ML-based targeting products, conduct offline and online experimentation, research and implement new model architectures, and drive technical roadmaps. This role requires extensive experience in applied machine learning, large-scale data processing, and collaboration with cross-functional stakeholders. You will work on large-scale data systems and backend services. Reddit offers a comprehensive benefits package including healthcare, 401k match, generous parental leave, and flexible vacation time.

Requirements

• 2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch with large-scale ML systems
• 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
• 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

Responsibilities

• Own end-to-end execution of ML-based targeting products like smart targeting expansion, keyword targeting, auto targeting, user lookalikes etc
• Own offline & online experimentation of ML models for improving targeting products to drive advertiser outcomes
• Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models) with a focus on improving advertiser outcomes
• Drive technical roadmaps and lead day to day project execution, and contribute meaningfully to team vision and strategy
• Work on large scale data systems, backend services and product integration
• Collaborate closely with multiple stakeholders cross product, engineering, research and marketing

Preferred Qualifications

• Experience with nearest-neighbor search systems
• Experience building & improving MLOps tools and ML experimentation workflows
• Knowledge of large scale search & recommender systems, or modern ads ranking/retrieval/targeting systems
• Experience with deep learning, representation learning or transfer learning
• Tech lead experience in a product team

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
• Medical, dental, and vision insurance
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave