About Galileo
Galileo is a late-stage Series A business, founded in 2021 by Engineering Leaders from Google AI and Uber AI. Backed by tier 1 investors such as Battery Ventures and Walden Catalyst and over $23M in funding, Galileo is poised to build an enduring business centered around AI/ML on unstructured data. The founding team spent years building cutting edge Machine Learning systems at Google, Uber and Apple. The big lesson was that models are as good as the data you give to them.
In the era of Generative AI and LLMs, the tools that Data Scientists use to do evaluations of Language Models and Applications includes ad-hoc python scripts, Jupyter Notebooks and Excel sheets. This calls for new tools in the LLM development stack to mitigate data errors and biases, investigate regions of LLM underperformance, and help create high quality LLM based applications quickly via robust evaluation and experimentation tooling.
At Galileo, we are building a next generation Large Language Model (LLM) evaluation and experimentation platform to address this problem.
With dozens of paying enterprise customers across the enterprise and high growth startups, Galileo is creating the "LLM Evaluation" market.
Role Description
As an early software engineer at Galileo, you will play a foundational role in designing, building, and scaling our products and team.
We’re looking for a seasoned software engineer, interested in building the foundations of the core services powering Galileo's API and product.
Minimum Qualifications
4+ years of experience building scalable platforms and/or real-time machine learning systems
Strong experience building large scale and complex distributed systems
Experience building backends for real-time services in Python
Experience working with systems like Docker and Kubernetes
Experience building applications on cloud environments such as AWS, GCP, Azure.
Excellent communication skills for collaborating with cross-functional partners
A startup mindset, biasing towards thoughtful action with minimal direction.
Experience building with ML frameworks like PyTorch, Tensorflow, Keras.
Engaged in all steps of the product development process, working cross-functionally with a product manager, designer, user researcher, and data scientist
Engineering
San Francisco, CA
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