Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $216,700–$322,000 / yr
- Posted
- 9 days ago
- Freshness
- Confirmed live yesterday
Market check
Salary context
How this pay compares to similar roles
This role pays more than 87% of similar roles. Most pay $192,050–$254,750 — the blue band above. At the midpoint, this role pays about $269k versus about $223k for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has 89 open roles on FindRole.
Listed pay typically runs $216,700–$303,000 across 89 roles with salary data.
Most-posted roles
- Software Engineer 27
- Machine Learning Engineer 10
- Product Manager 8
- Data Scientist 7
- Backend Engineer 3
At a glance
TL;DR · Machine Learning Engineer, Answers Relevance
JOB TITLE: Machine Learning Engineer, Answers Relevance The Answers Relevance team is seeking Senior and Staff Machine Learning Engineers to enhance how users discover and engage with community wisdom. In this role, you will lead machine learning projects from conception to production, partnering with Product, Data Science, and Engineering teams to shape technical roadmaps. You will build and improve large-scale ML systems, including retrieval, ranking, embeddings, and LLM-powered features. Key responsibilities involve developing RAG systems, foundational retriever models, and agentic AI while managing self-hosted open-weight models like Qwen or Llama. You must utilize Python, TensorFlow, PyTorch, or Hugging Face Transformers to solve complex problems regarding grounding, hallucination, and latency. The work focuses on improving content understanding and information retrieval to connect people with relevant real-world conversations.
What does a Machine Learning Engineer earn in Remote?
Median $246638 from 41 postings across 11 companies.
Skills
What you'll do
- Build and improve large-scale ML systems for retrieval, ranking, embeddings, and LLM-powered features.
- Lead ML projects from initial idea through to production deployment.
- Set technical direction to deliver measurable user and business impact.
- Shape product and technical roadmaps in partnership with cross-functional teams.
- Evaluate new AI/ML approaches and support responsible LLM development.
- Mentor engineers and contribute to long-term machine learning planning.
- Define product success metrics, feedback loops, and evaluation approaches.
What we're looking for
- 4–12 years of experience building, deploying, and operating ML systems in production.
- Broad knowledge of ML fundamentals and experience applying them in production.
- Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers.
- Experience writing production-quality code including testing, evaluation, and monitoring.
- Proficiency in Python is required.
- Experience with ML systems such as data pipelines, feature engineering, model training, and serving.
- Strong communication and collaboration skills with a record of delivering measurable product impact.
- Experience with Golang is a plus (preferred).
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