[Remote] Staff Machine Learning Engineer, Consumer

Job summary

United States
Engineering

Work model

Fully remote
Only United States
2 days ago
Job description

About Reddit

Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. Founded in 2005 and headquartered in San Francisco, California, USA, Reddit, Inc. is a community of communities built on shared interests and trust, with a workforce of 1001-5000 employees.

Job Overview

Reddit is seeking a Staff Machine Learning Engineer to lead high-impact ML initiatives and build large-scale ML systems that enhance user engagement and discovery. This is a remote position open to candidates in the USA.

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.

Skills and Qualifications

  • 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.).
  • Expertise in 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 translate product needs into scalable ML solutions.
  • Track record of driving measurable impact through applied machine learning in real-world products.
  • 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 a 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

Company Information

  • Reddit, Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role.