Senior Software Engineer - Machine Learning Infrastructure

- Work on the Machine Learning and AI Infrastructure team, which is focused on providing infrastructure for data scientists and other engineers to use ML and AI technologies effectively.

- Build and maintain software and tools for classical ML stack which helps data scientists manage full training lifecycle from data collection, data preparation, training, deployment and model serving.

- Build and maintain software and tools which enable efficient and effective use of GenAI (LLM) technologies.

- Do background research on latest innovations in the Machine Learning space and bring back insights to apply within the team.

- 3+ years of experience as a software engineer, and the ability to work independently in a fast-paced, dynamic environment, taking initiative to drive results.

- Background in data infrastructure, platform infrastructure or ML infrastructure is preferred.

- Enthusiastic about learning new codebases, and making changes in large complex systems safely and efficiently.

- Proficiency in Python and Java programming languages. We're looking for engineers who are comfortable with multiple languages and have experience building scalable high-performance systems

- Familiarity with Azure and GCP cloud environments, and deployment tools such as Docker and Kubernetes

- Experience in real estate, food technology, or related industries is a bonus, though not required. A passion for solving complex problems in these sectors is key.

This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together.

That's why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $176,000 - $230,000 per year.