Software Engineer, Core Machine Learning

We're looking for entrepreneurial software engineers who thrive on ambiguous, 0-to-1 work. You’ll design and deploy both traditional ML models and infrastructure (contextual bandits to manage ad spend, shipment ETA predictions) and LLM-powered systems (RAG pipelines, human-in-the-loop evaluation frameworks) to address the business’s most pressing problems. Your job will change every ~12 months as we hand off stable products and pivot to address the business’s next big need.

Strong applicants display exceptional business judgement and are equally comfortable contributing to production infrastructure and training the models that run on it. They build for the long term while finding ways to aggressively pull forward business impact.

• Develop and deploy new both production machine learning algorithms and core infrastructure to enrich the buyer and seller experience.
• Contribute to and set direction across the entire machine learning development process: opportunity sizing, feature engineering, model training, evaluation, load testing, deployment, and alerting.