# Staff Machine Learning Engineer, Consumer

Hiring organization: [Reddit](https://career.thegoodapps.co/organizations/reddit)

Canonical page: https://career.thegoodapps.co/jobs/e6510061-f1d2-4a2c-b261-3d969cf13771

Listed on Reddit's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Staff
- Location: Remote - United States
- Remote: yes
- Salary: 230000 – 322000 USD per year

## Summary

Reddit is seeking a Staff Machine Learning Engineer to lead the development of large-scale ML systems powering recommendations, search, and content understanding across their consumer platform. This role suits experienced ML practitioners who enjoy building complex systems from research through production and want to influence product direction while mentoring other engineers.

_Our summary, not Reddit's wording._

## Skills named

Apache Airflow, Apache Kafka, Google BigQuery, Hugging Face Transformers, Python, PyTorch, Redis, SPARK, TensorFlow, V-Ray

## Required

- 7+ years building, deploying, and operating production machine learning systems
- Deep knowledge of machine learning methods including classical approaches and modern deep learning (Transformers, GNNs, etc.)
- Expert-level experience productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers
- Production-quality code skills in Python and Golang with testing, evaluation, and monitoring
- Experience designing and scaling ML systems including data pipelines, feature engineering, model training and serving, and production monitoring
- Strong communication and collaboration ability to discuss complex technical topics across teams and translate product needs into ML solutions
- Demonstrated track record of driving measurable impact through applied machine learning in real-world products

## Nice to have

- Subject matter expertise in recommender systems, search systems (lexical and semantic retrieval and ranking), or content understanding (NLU/NLP/LLM, topic/taxonomy modeling, interest graphs, clustering, multimodal understanding)
- Familiarity with distributed systems and large-scale data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis)
- Experience with real-time systems and low-latency production environments
- LLM/GenAI experience including evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems, and productionizing LLM-powered products at scale
- Strong experimentation rigor with ability to formulate hypotheses, design learning plans, and build offline/online correlations
- Advanced degree in Computer Science, Machine Learning, or related quantitative field

Apply on Reddit's site: https://job-boards.greenhouse.io/reddit/jobs/7747244