Whatnot
Software Engineer, Core Machine Learning
$180K–$300K
San Francisco, CA +1 · Full-time · Posted Mar 3, 2026
- Location
- San Francisco, CA
Seattle, WA - Experience
- 4+ years of professional experience; includes 2+ years of production software engineering experience and 2+ years of hands-on production ML experience.
- Education
- Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related technical field, or equivalent work experience.
About the job
Builds and deploys production machine-learning models and supporting infrastructure to solve business problems and improve buyer and seller experiences.
What you'll do
- Develop ML algorithms and infrastructure, and manage the ML lifecycle from opportunity sizing through monitoring.
- Build supporting systems such as streaming pipelines, model monitoring, and LLM evaluation frameworks; turn experiments into scalable production systems.
- Set project roadmaps and communicate tradeoffs and findings to product and leadership teams.
What they ask for
- 2+ years building and maintaining production systems at consumer scale.
- 2+ years training and deploying traditional ML models in production.
- Experience with operational, search, and key-value databases, and monitoring and logging tools.
- Familiarity with cloud computing platforms and managed services; ability to work autonomously and communicate across teams.
Pay
USD $180,000 - $300,000/year base salary
Tools
PyTorch, LightGBM, scikit-learn, PostgreSQL, DynamoDB, Elasticsearch, Redis, DataDog
AI focus
Develops traditional ML models, including contextual bandits and shipment ETA predictions, and LLM-powered systems such as RAG pipelines and human-in-the-loop evaluation frameworks.
Model-written summary · the original posting is authoritative