Staff Machine Learning Engineer, Ads Content Understanding

What you'll do

• Provide technical leadership and mentorship to MLEs and SWEs in ACU.
• Develop evaluation systems for content understanding signals using state-of-the-art methods.
• Define service level objectives (SLOs) and monitor key performance indicators for ML systems.
• Build and operationalize robust signals from commercial conversations for ads and insights products.
• Lead the design and implementation of signals pipelines, ensuring efficient serving at Reddit scale.
• Drive large language model best practices within ACU, including distillation efforts to replace external APIs.

What we're looking for

• 7+ years of experience in delivering production ML systems at scale.
• Proven track record of technical leadership and driving architecture decisions across multiple teams.
• Strong background in building and shipping NLP models to production with clear business outcomes.
• Practical experience using LLMs for labeling, evaluation, or distillation in production environments.
• Deep expertise in PyTorch, TensorFlow, and Python for end-to-end ML pipeline development.