Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Leading the Commercial Content Understanding roadmap for the Monetization organization with an accent on knowledge graphs, content taxonomies, and opinion mining. Focus on designing evaluation systems using SOTA LM-judge practices, operationalizing robust signals for ads, and distilling LLMs into in-house models.

Location: Remote (United States)

Salary: $230,000 - $322,000 USD

Company

Reddit is a community-driven platform home to the most open and authentic conversations on the internet across 100,000+ active communities.

What you will do

• Provide technical leadership and mentorship to MLEs and SWEs, driving design reviews and setting technical standards for content understanding.
• Develop evaluation and quality monitoring systems for signals using SOTA LM-judge practices.
• Build content understanding capabilities for commercial conversations, including sentiment, stance, and product entity detection.
• Lead the design and implementation of signals pipelines and a unified signals registry for scalable serving.
• Drive LLM best practices, including deciding when to prompt, finetune, or distill models to replace external APIs.
• Manage the full ML lifecycle, designing resilient MLOps pipelines and championing responsible AI practices.

Requirements

• 7+ years of MLE experience delivering production ML systems at scale, ideally in Ads or content understanding.
• Demonstrated staff-level leadership in driving architecture decisions and aligning cross-functional teams.
• Proven track record shipping NLP and Language models to production with clear business outcomes.
• Practical experience using LLMs in production for labeling, evaluation, or distillation.
• Deep proficiency with PyTorch, TensorFlow, and Python, and familiarity with a statically typed language like Go, Java, or C++.
• Must be based in the United States.

Culture & Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401k with employer match.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave and family planning support.
• Mental health, coaching, and gender-affirming care benefits.