Staff Machine Learning Infrastructure Engineer, Embedding Platform

Навыки

• A/B-тесты
• Коммуникация
• C++
• Лидерство
• Machine Learning
• Python
• RAG

Задачи

• 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
• Reddit is a community of communities
• It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet
• Every day, Reddit users submit, vote, and comment on the topics they care most about
• As a Staff Machine Learning Infrastructure Engineer , you will own the technical direction for large-scale machine learning platform, 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

Требования

• 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

Условия

• 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
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave
• With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information
• For more information, visit www.redditinc.com
• The LS 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

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