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Senior Machine Learning Infrastructure Engineer, Embedding Platform

3 weeks, 2 days ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Deep Learning Machine Learning Python PyTorch System Design TensorFlow
Apply Now
Reddit

Reddit

Reddit is a diverse network of communities where users engage in content creation, voting, and discussions on a wide range of topics.

Internet Software & Services
1K-5K
Founded 2005
$550M raised
View All Jobs 28

Description

  • Design, train, and improve large-scale machine learning platforms for recommendation and personalization systems.
  • Own major ML system components end to end, from problem framing through production rollout.
  • Build and optimize ML pipelines for data preparation, feature generation, training, evaluation, and deployment.
  • Improve distributed training, model efficiency, and online inference performance.
  • Apply sequence modeling and foundation-model techniques to Reddit use cases.
  • Develop reliable serving and monitoring patterns for low-latency, high-throughput ML systems.
  • Collaborate with product, relevance, ads, core ML, and platform teams to deliver measurable impact.
  • Drive offline and online evaluation, experimentation, model diagnostics, and feedback-loop improvements.
  • Contribute to code quality, design reviews, documentation, and operational excellence.

Requirements

  • 5+ years of experience in machine learning engineering, with a focus on large-scale ML infrastructure and recommendation or personalization systems.
  • Experience with modern deep learning architectures, including sequence models and foundation models.
  • Experience building or scaling ML platforms for large datasets and high-traffic production environments.
  • Ability to independently scope and execute ambiguous technical work while owning implementation details.
  • Understanding of distributed training and inference concepts such as data parallelism, model parallelism, pipeline parallelism, or similar optimization techniques.
  • Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
  • Strong software engineering fundamentals, including system design, debugging, testing, and performance optimization.
  • Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in production systems.
  • Excellent communication skills for presenting complex ML concepts to technical and non-technical stakeholders.

Benefits

  • Comprehensive healthcare benefits and income replacement programs.
  • 401(k) with employer match.
  • Global benefit programs supporting workspace needs, professional development, and caregiving.
  • Family planning support.
  • Gender-affirming care.
  • Mental health and coaching benefits.
  • Flexible vacation and paid volunteer time off.
  • Generous paid parental leave.
  • Equity in the form of restricted stock units, with possible commission depending on the position.
  • Medical, dental, and vision insurance for U.S.-based employees.

Interested in this position?

Apply directly on the company website

Apply Now

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