Staff Machine Learning Engineer, Consumer

We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains.

Responsibilities

Lead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions; Architect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding, including retrieval/ranking models, representation learnings embeddings optimizations, and LLM or GenAI-powered capabilities; Drive measurable impact on user engagement, discovery, and long-term value; Collaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities; Stay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit’s ML ecosystem at the cutting edge; Contribute to the development of best practices, guidelines, and ethical AI principles for responsible LLM development and deployment; Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing; Set technical vision and drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making

Requirements

7+ years of experience building, deploying, and operating machine learning systems in production; Deep understanding of machine learning methods, spanning classical approaches and modern deep learning (e.g., Transformers, GNN, etc); Expert at developing and productionizing models using TensorFlow, PyTorch, or Hugging Face Transformers; Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python and Golang; Experience designing and scaling ML systems, including data pipelines, feature engineering, model training/serving, and production monitoring; Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams and translating product needs into scalable ML solutions; Track record of driving measurable impact through applied machine learning in real-world products

Nice to have

Subject matter expertise in one of the following domains: Recommender systems; Search systems (lexical and semantic retrieval and ranking); Content understanding (NLU/NLP/LLM, topic/taxonomy modeling, interest graphs or clustering, and multimodal understanding); Familiarity with distributed systems and large-scale data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.); Experience working with real-time systems and low-latency production environments; Experience with LLM/GenAI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale; Strong experimentation rigor, with experience formulating clear hypotheses, designing actionable learning plans and building offline/online correlations; Advanced degree in Computer Science, Machine Learning, or related quantitative field

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; Medical, dental, and vision insurance; Equity in the form of restricted stock units