Staff Machine Learning Engineer

Reddit • San Francisco, CA

16h • $230,000 - $322,000 • Remote

About The Position

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. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Requirements

• Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline and (3) three years of experience in the job offered or related occupation.
• Python, Java, and Scala
• C++, Go, or Rust
• Major machine learning frameworks and libraries
• Applied statistics, hypothesis testing and experiment design for online machine learning systems
• Large-scale data processing and analytics frameworks
• Deployment and operation of production systems in containerized and distributed environments
• Designing and training advanced models, including deep neural networks, transformer-based architectures, and reinforcement learning models
• Marketplace dynamics, such as real-time bidding (RTB) or pacing control systems
• Developing and optimizing online advertising systems, including ad ranking, targeting, and market place
• Providing technical leadership, mentorship, or guidance to other machine learning engineers.
• Any suitable combination of education, training and/or experience is acceptable.

Responsibilities

• Design, develop, and train advanced machine learning models, including deep neural networks, transformer-based architectures, and reinforcement learning systems, to power large-scale online advertising ranking and optimization platforms.
• Lead the development and optimization of complex feature representations, including high-dimensional embeddings, contextual and temporal signals, and cross-session user behavior modeling.
• Drive end-to-end model lifecycle execution, including system architecture design, large-scale experimentation, model deployment, performance monitoring, and iterative infrastructure improvements in production environments.
• Collaborate closely with product, data, and infrastructure engineering teams to translate business objectives into scalable, statistically rigorous modeling solutions.
• Conduct advanced experiment design and causal analysis to evaluate model impact and inform strategic decisions.
• Provide technical leadership and mentorship to machine learning engineers and contribute to organization-wide modeling standards, best practices, and long-term technical strategy.
• Shape the long-term modeling vision across multiple advertising domains, including conversion optimization, application advertising, shopping, and brand advertising.

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
• Commission (depending on position offered)
• Medical, dental, and vision insurance
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior