# Staff Machine Learning Engineer, Consumer

**Company:** [Reddit](https://hotfix.jobs/companies/reddit)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $230k – $322k/yr
**Experience:** 7+ years
**Skills:** PyTorch, TensorFlow, Hugging Face Transformers, Python, Go, Transformers, Graph Neural Networks, Spark, Kafka, Ray, Airflow, BigQuery, Redis, LLMs, RAG
**Posted:** 2026-04-09

> Leads end-to-end ML initiatives for Reddit's consumer features like recommendations, search, and AI discovery. Requires 7+ years experience with deep learning frameworks, production ML systems, and expertise in Transformers, LLMs, or recommender systems.

## Job Description

## What You’ll Do

- 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

## Required 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**)
- 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

## Preferred Qualifications

- 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**)
- 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

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