Senior ML Solutions Architect

2 weeks ago

Toronto, Ontario, Canada reddit Full time
Job Description

We are looking for a highly skilled Staff Machine Learning Engineer to join our Ads Targeting Quality team at Reddit. As a Staff Machine Learning Engineer, you will play a key role in automating targeting and delivering the most relevant audiences to advertisers using 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
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)
  • $150,000 - $200,000 per year salary range
  • + years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
  • + 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

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