Staff Machine Learning Infrastructure Engineer, Embedding Platform

Location: Remote - United States

Salary: $253,300–$354,600 USD annually, plus equity and potentially commission.

Company

Reddit is a large-scale community platform with over 100,000 active communities and approximately 130 million daily active unique visitors.

What you will do

• Architect and lead next-generation large-scale machine learning techniques and platform systems.
• Define ML strategy and improve personalization and recommendation quality across Reddit.
• Lead research on scalable ML systems, real-time model adaptation, and production deployment.
• Build distributed training systems that scale across multiple GPUs and cloud environments.
• Establish low-latency, high-throughput serving architectures for large-scale embeddings.
• Collaborate with Feed Ranking, Ads, Content Understanding, Core ML, and leadership while mentoring ML engineers.

Requirements

• 8+ years of machine learning engineering experience focused on large-scale ML systems and recommendation or personalization systems.
• Expertise in modern deep learning architectures, including sequence models and foundational models.
• Strong understanding of complex multi-entity relationships and their representation in large-scale ML systems.
• Experience designing and optimizing scalable ML architectures, distributed training, and real-time inference.
• Strong software engineering skills in Python, C++, or similar languages, with ML infrastructure, high-performance computing, and cloud-based ML pipeline experience.
• Leadership experience in ML strategy, mentoring, cross-functional influence, A/B testing, model evaluation, and real-time feedback systems.

Culture & Benefits

• Comprehensive healthcare and income replacement programs.
• 401(k) with employer match.
• Global benefits supporting workspace needs, professional development, and caregiving.
• Family planning support, gender-affirming care, and mental health and coaching benefits.
• Flexible vacation, paid volunteer time off, and generous paid parental leave.
• Interview recording, transcription, and AI summarization may apply in select roles, with an option to opt out before interviews.

Hiring process

• Interviews may be recorded, transcribed, and summarized by AI for select roles.
• Candidate information is collected and processed for application evaluation, with recordings deleted after a hiring decision.