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Data Scientist II, ML Infrastructure

🔥 16 hours ago
Machine LearningCausal InferencePythonPytorch

📜 Description

  • Translate research-grade DS workflows into production ML pipelines using Airflow, WandB & Ray.
  • Apply and productionize causal inference methods to address high-stakes measurement questions.
  • Partner with ML engineers and product teams to identify opportunities for improved tooling and metrics.
  • Leverage Pinterest's metadata to build data-driven frameworks that enhance platform efficiency.
  • Design and build centralized ML platform tooling for feature and model creation and evaluation.

🛠️ Requirements

  • 2+ years of hands-on experience as an applied scientist, ML engineer, or software engineer with significant ML production experience.
  • Strong Python skills; experience with PyTorch or equivalent deep learning frameworks.
  • Familiarity with distributed compute (Spark, Ray); Ray is a strong plus.
  • Deep ML theory knowledge with strong fundamentals.
  • Proficiency in software development best practices including version control and reproducible ML pipelines.
  • Experience with workflow management tools for reliable ML pipeline orchestration.
  • Bachelor's/Master's degree in a relevant field or equivalent experience.
Reddit

Software Engineer - Data Movement Platform

Reddit👥 1001 - 5000 employees🏢 Online Community/social Media
🔥 12 hours ago

As a Software Engineer on the Data Movement team, you will enhance scalable data infrastructure and streamline data processing for machine learning and analytics at Reddit.

Software EngineeringData InfrastructureMachine LearningAnalytics

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