Reddit is hiring a
Staff Machine Learning Engineer

closed
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Reddit

πŸ’΅ $230k-$322k
πŸ“Remote - Worldwide

Summary

The job is for a Staff Machine Learning Engineer in the Ads Targeting Quality team at Reddit. The role involves designing and implementing ML systems to improve targeting products, with a focus on automating targeting and delivering relevant audiences to advertisers. The job is remote-friendly and offers various benefits.

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
  • Tech lead experience in a product team is strongly preferred

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
  • Collaborate closely with multiple stakeholders cross product, engineering, research and marketing

Preferred Qualifications

Experience with deep learning, representation learning or transfer learning is 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
This job is filled or no longer available

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