Join Reddit as a Machine Learning Engineer to enhance AI systems that connect users with community wisdom.
Posted by employer 1 day ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
- Build and improve large-scale ML systems
- Set technical direction
- Work with partner teams to shape product roadmaps
- Evaluate new AI/ML approaches
- Mentor engineers
Must have
- 4–12 years of experience building ML systems
- Experience developing models with TensorFlow, PyTorch, or Hugging Face Transformers
- Experience writing production-quality code in Python
AI in the day-to-day
The Answers Relevance team leverages AI to connect people with the real-world wisdom of Reddit communities.
Requirements
- Experience
- 4–12 years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Machine Learning Engineer will lead projects that enhance Reddit's AI systems, focusing on improving the relevance and helpfulness of user-generated content. Key skills include experience with ML frameworks like TensorFlow and PyTorch, as well as a solid understanding of large-scale ML infrastructure and retrieval systems. This position is suited for professionals with 4 to 12 years of experience in deploying ML systems, particularly those who can collaborate effectively across teams. The Answers Relevance team is integral to Reddit's mission of connecting users with valuable community insights.
Joblaze insights
- Listed today — first seen on Joblaze October 20, 2026. Last confirmed on Reddit's careers page October 20, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 66% of 61 comparable senior ai/ml roles in United States that list PyTorch we track (median $200,000 across 32 companies).
- PyTorch appears in 17.8% of 544 comparable senior ai/ml roles in United States; TensorFlow appears in 6.8% of 544 comparable senior ai/ml roles in United States.
Quick facts
- Is the Machine Learning Engineer, Answers Relevance role remote?
- Yes — Reddit lists this as a fully remote position.
- What's the salary range?
- Reddit lists $216,700–$322,000 for this role.
- How much experience is required?
- 4–12 years of relevant experience for this Machine Learning Engineer, Answers Relevance role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Hugging Face Transformers, PyTorch, TensorFlow.
- What seniority level is this role?
- Reddit targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Machine Learning Engineer, Answers Relevance role at Reddit.
From the original posting
At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the Answers Relevance team leverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring Senior and Staff Machine Learning Engineers to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other!
What You’ll Work On
You’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems.
You don’t need experience in every area listed below. A background in a few may make you a great fit!
- Recommendations, search, content understanding, or large-scale data and ML infrastructure
- SOTA large scale RecSys
- Foundational retriever models
- RAG systems, retrieval methods, LLM evaluation, or production LLM features
- Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration
- Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization
- Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality
- Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe inputs
- Defining product success metrics, feedback loops, and evaluation approaches, including human review
What You’ll Do
- Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features
- Set technical direction and deliver measurable user and business impact
- Work with partner teams to shape product and technical roadmaps
- Evaluate new AI/ML approaches and support responsible LLM development
- Mentor engineers and contribute to long-term ML planning
Required Qualifications
- 4–12 years of experience building, deploying, and operating ML systems in production
- Broad knowledge of ML fundamentals and experience applying them in production; expert-level modeling depth isn’t required
- Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers
- Experience writing production-quality code, including testing, evaluation, and monitoring; Python experience required, Golang experience a plus
- Experience with ML systems such as data pipelines, feature engineering, model training and serving, and production monitoring
- Strong communication and collaboration skills, and a record of delivering measurable product impact
#LI-Remote
Pay Transparency:
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
Standard company text repeated across Reddit's postings is omitted here.