Senior Machine Learning Infrastructure Engineer, Embedding Platform

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Design, train, and improve large-scale machine learning platforms for recommendation or personalization systems. • Own and deliver major ML systems components end to end, from problem framing through production rollout. • Build and optimize end-to-end ML pipelines spanning data preparation, feature generation, training, evaluation, and deployment. • Improve distributed training, model efficiency, and online inference performance. • Apply modern modeling approaches including sequence modeling and related foundation-model techniques to Reddit use cases. • Develop reliable serving and monitoring patterns for low-latency, high-throughput production ML systems. • Work with cross-functional partners across product, relevance, ads, and core ML teams to deliver measurable improvements in user experience and business impact. • Drive rigorous offline and online evaluation, including experimentation, model diagnostics, and feedback-loop improvement. • Contribute to engineering quality through strong code, design reviews, documentation, and operational excellence.

🎯 Requirements

• 5+ years of experience in machine learning engineering, focused on large-scale ML infrastructure and recommendation or personalization systems. • Expertise in modern deep learning architectures, including sequence models and foundational models. • Experience building or scaling ML platforms for large datasets and high-traffic production environments. • Ability to independently scope and execute ambiguous technical work while owning high-quality implementation details. • Solid understanding of distributed training and inference concepts, including data parallelism, model parallelism, and pipeline parallelism. • Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar. • Strong software engineering fundamentals, including system design, debugging, testing, and performance optimization. • Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems. • Excellent communication skills for presenting 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 • Equity in the form of restricted stock units • Medical, dental, and vision insurance • Generous time off for vacation • Parental leave