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Reddit
Reddit

Staff Machine Learning Infrastructure Engineer, Embedding Platform

RemoteUnited States only
Published
Role
AI / ML
Experience
Staff
$253.3k–$354.6k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Staff ML Infrastructure Engineer with 8+ yrs in large-scale ML systems and recommendation/personalization. Needs deep learning expertise (sequence/foundational models), distributed training, real-time inference, and strong Python/C++. Remote role, US-based only.

Core skills

Python/C++

What you'll do

  • 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

What they require

  • 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
  • Deep understanding of complex multi-entity relationships in machine learning applications and how they are modeled in large-scale systems
  • Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference
  • Strong software engineering skills in Python, C++, or similar languages, with experience in ML infrastructure, high-performance computing, and cloud-based ML pipelines
  • Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems
  • Demonstrated leadership in driving ML strategy, mentoring engineers, and influencing cross-functional teams
  • Excellent communication skills, with the ability to effectively present complex ML concepts to technical and non-technical stakeholders

Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs (workspace, professional development, caregiving support)
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
  • Equity in the form of restricted stock units
  • Medical, dental, and vision insurance for US-based employees

American social news aggregation website and discussion portal

🇺🇸 United StatesSocial MediaEnterpriseredditinc.com

What people say about this company

3.5/ 5

$253.3k–$354.6k/yr