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Reddit

Staff Machine Learning Engineer, Consumer

Reddit · Remote - United States

Posted about 3 months ago

or apply directly on Reddit's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Reddit's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of Reddit's roles list one
Ghost-job risk at Reddit
high
148 stale, 3 reposted of 150 open
Hiring momentum
259 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Reddit's own greenhouse board since 2026-08-03. Full hiring picture for Reddit.

About this role

As a Staff Machine Learning Engineer at Reddit, you will lead the development of large-scale machine learning systems that enhance user engagement and discovery across various domains, including recommendations and search. Your role will involve collaborating with cross-functional teams to align technical and product strategies, mentoring other engineers, and driving initiatives from ideation to production. You will also stay updated on AI research to ensure Reddit's ML ecosystem remains cutting-edge.

Our read on this posting3.0out of 5
benefits
4/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Reddit as an employer.

What you need

  • 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

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

What you get

  • 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

Worth weighing

  • Base salary range is $230,000 — $322,000 USD, but final offer amounts may vary based on multiple factors.
  • Interviews may be recorded and summarized by AI, with an option to opt out.
  • The role may span more than one career level, which could affect expectations and responsibilities.

Summarised from Reddit's posting. Read the full original.

Listed by Reddit on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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