Reddit logo
Reddit

Reddit is an online platform utilized by thousands of communities to connect and converse about a wide variety of topics, including TV and movie fan theories, s

Staff Machine Learning Engineer, Embeddings

Location

United States

Posted

16 days ago

Salary

$253.3K - $354.6K / year

Seniority

Lead

Postgraduate Degree8 yrs expEnglishCloudPython

Job Description

Staff Machine Learning Engineer, Embeddings

Reddit

• 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.

Job Requirements

  • 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

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