Senior ML Infrastructure Engineer, Embedding Platform

Reddit

United States

Remote

USD 180,000 - 240,000

Full time

11 days ago

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Job summary

Reddit is seeking a Staff Machine Learning Infrastructure Engineer to lead the technical direction for a large-scale ML platform and to guide the deployment of advanced ML models in production. You will partner with leadership to define roadmaps, drive scalable model design, and uplift the team’s capabilities across ML disciplines.

You will mentor senior engineers, shape the ML strategy, and collaborate with cross-functional teams to ensure low latency, high-throughput embeddings and robust

Qualifications

  • 8+ years of experience in machine learning engineering, with a strong focus on large-scale ML systems and recommendation or personalization systems.
  • Expertise in modern deep learning architectures, including sequence models and foundational models.

Responsibilities

  • Architect and lead the development of next-generation, large-scale machine learning techniques.
  • Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit.
  • Lead research initiatives on scalable machine learning systems and real-time model adaptation, bringing cutting-edge advancements into production.
  • Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.
  • Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput.
  • Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate ML models into Reddit’s key AI-driven systems.
  • Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing.
  • Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit’s ML ecosystem cutting-edge.
  • Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making.

Skills

Large-scale ML systems
Recommendation/personalization
Distributed training
Real-time serving
GPU cloud deployment

Job description

Reddit is seeking a Staff Machine Learning Infrastructure Engineer to lead the technical direction for a large-scale ML platform and to guide the deployment of advanced ML models in production. You will partner with leadership to define roadmaps, drive scalable model design, and uplift the team’s capabilities across ML disciplines.

You will mentor senior engineers, shape the ML strategy, and collaborate with cross-functional teams to ensure low latency, high-throughput embeddings and robust

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