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Staff Machine Learning Systems Engineer, Embeddings Platform

Reddit📍 Remote - United StatesEstimated: $80,000 - $120,000

✨ AI Insights & Summary

Reddit is seeking a Staff Machine Learning Engineer to architect and lead the development of next-generation, large-scale ML models powering their recommendation systems. This is a pivotal role influencing AI-driven systems across the entire platform, driving innovation in deep learning and scalable model design. The opportunity offers significant impact on user engagement and platform growth, with a focus on cutting-edge advancements and mentoring a talented team in a remote-first environment.

Staff Machine Learning Engineer (Embeddings ML Platform)

About Reddit

Reddit is a community of communities, built on shared interests, passion, and trust. It's home to the most open and authentic conversations on the internet, with over 100,000+ active communities and approximately 126 million daily active unique visitors. www.redditinc.com

About the Role

The Embedding Machine Learning Platform team is at the forefront of building highly expressive machine learning models that power Reddit’s recommendation systems. We go beyond standard retrieval and ranking architectures, leveraging modern deep learning approaches and scalable model designs to enhance personalization across Reddit’s ecosystem. Our work impacts content discovery, user engagement, and platform growth at a massive scale.

How You'll Have Impact

As a Staff Machine Learning Engineer, you will own the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems. You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production. This role offers an opportunity to influence key AI-driven systems across Reddit while mentoring and uplifting the team’s technical capabilities.

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.

Who You Might Be:

  • 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.
  • Demonstrated leadership in driving ML strategy, mentoring engineers, and influencing cross-functional teams.
  • Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems.
  • 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 that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. The base salary range for this position is $253,300 - $354,600 USD.

Equal Opportunity & Accommodations:

Reddit is proud to be an equal opportunity employer. We celebrate diversity and are committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

AI Interview Recording Notice: In select roles and locations, interviews may be recorded, transcribed, and summarized by AI. You will have the opportunity to opt out prior to any scheduled interviews.

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Job Overview

Posted6/11/2026
CategoryAI & Machine Learning
SourceGreenhouse

FAQ

Is this position remote?

The Staff Machine Learning Systems Engineer, Embeddings Platform role is a remote opportunity. The location specified is Remote - United States.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

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