Staff Machine Learning Engineer

Summary

Join Reddit's Ads Targeting team as a Staff Machine Learning Engineer and lead the charge in automating targeting and delivering relevant audiences to advertisers. You will own the design and execution of ML-based targeting products, drive research direction, and collaborate with cross-functional partners. This role requires extensive experience in ML model development, deployment, and large-scale data processing. You will mentor junior engineers and contribute to the team's overall vision and strategy. Reddit offers a comprehensive benefits package, including healthcare, 401k matching, generous parental leave, and flexible vacation time.

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

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

Preferred Qualifications

• Experience working with nearest-neighbor search systems
• Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research
• 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