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Staff Machine Learning Engineer - Ads Targeting

Reddit is a community of communities. It's built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet.
Ontario, Canada
Machine Learning
Staff Software Engineer
Remote
1,000 - 5,000 Employees
5+ years of experience
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Description For Staff Machine Learning Engineer - Ads Targeting

Reddit is seeking a Staff Machine Learning Engineer for their Ads Targeting team. This role focuses on designing and implementing ML systems to improve targeting products. Key responsibilities include:

  • Owning end-to-end design and execution of ML-based targeting products like auto targeting and user lookalikes
  • Driving research direction and technical roadmap for complex projects
  • Being a thought leader and collaborating with cross-functional partners
  • Researching and implementing new model architectures using deep learning
  • Providing mentorship to junior MLEs
  • Owning offline & online experimentation of ML models
  • Working on large scale data systems and product integration

The ideal candidate should have:

  • Tech lead experience in a product ML team
  • Experience with ads retrieval modeling, ranking, or recommendation systems
  • Expertise in deep learning models for retrieval
  • 5+ years of end-to-end experience with ML models
  • 2+ years of experience with Tensorflow/Pytorch
  • Experience with large scale data processing tools
  • Knowledge of nearest-neighbor search systems (preferred)
  • Experience with deep learning, representation learning, or transfer learning (preferred)

Reddit offers a flexible work environment, allowing employees to work remotely from the US or Canada, or from their physical office locations. They provide comprehensive benefits including health coverage, retirement savings plan, workspace benefits, personal & professional development funds, family planning support, and flexible vacation.

Join Reddit to be part of a team that's improving ad targeting through innovative ML solutions and making a significant impact on one of the internet's largest platforms.

Last updated a year ago

Responsibilities For 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
  • Research, implement, test, and launch new model architectures for retrieval using deep learning
  • 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

Requirements For Staff Machine Learning Engineer - Ads Targeting

Python
Kubernetes
  • 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 For Staff Machine Learning Engineer - Ads Targeting

Medical Insurance
401k
Education Budget
Parental Leave
  • 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

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