Staff Machine Learning Engineer, Consumer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
What this role actually needs.
Staff Machine Learning Engineer, Consumer at Reddit in Remote (United States). UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- 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
What a strong candidate brings
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- 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
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- 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
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to staff machine learning engineer, consumer is a high-signal remote role in remote (united states), and it is most realistic for united states residents.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Lead with distributed collaboration, async delivery, and timezone discipline.
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