Rungalileo
Senior Software Engineer, Product
Rungalileo, San Francisco, California, United States, 94199
Galileo is a late-stage Series A business, founded in 2021 by Engineering Leaders from Google AI and Uber AI. The founders spent over 10 years building cutting edge Machine Learning systems at Google, Uber and Apple, and founded the company from the battle scars around building some of the biggest ML Platforms on the planet. The big lesson learnt was that a Machine Learning model is only as good as the data you give it.
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. 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 the core ingredient of machine learning – the data.About the roleAs an early engineer at Galileo, you will play a foundational role in designing, building, and scaling our products and team.We’re looking for an exceptional Senior Software Engineer, interested in solving complex problems at the intersection of Data and ML.Minimum Qualifications3+ years of experience building Data or ML products or platformsExperience building APIs in PythonExperience with writing and maintaining customer facing API documentation as well as internal documentation.Experience working with Docker and Kubernetes.Experience building applications on AWS, Google Cloud, and Microsoft Azure.Experience building customer facing products with ML frameworks (like PyTorch, Tensorflow, Keras, etc)Engaged in all steps of the product development process, working cross-functionally with a product manager, designer, user researcher, and data scientistExcellent communication skills for collaborating with cross-functional partnersHigh productivity and care to help teams collaborate more effectively and efficientlyA startup mindset, biasing towards thoughtful action with minimal direction.Why GalileoThis is an opportunity to join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally.We obsess over our team’s culture driven by inclusivity, empathy and curiosity.We invest in our team’s development and happiness because our employees are the keys to our success and ensuring happy customers – towards that end, we offer:
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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. 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 the core ingredient of machine learning – the data.About the roleAs an early engineer at Galileo, you will play a foundational role in designing, building, and scaling our products and team.We’re looking for an exceptional Senior Software Engineer, interested in solving complex problems at the intersection of Data and ML.Minimum Qualifications3+ years of experience building Data or ML products or platformsExperience building APIs in PythonExperience with writing and maintaining customer facing API documentation as well as internal documentation.Experience working with Docker and Kubernetes.Experience building applications on AWS, Google Cloud, and Microsoft Azure.Experience building customer facing products with ML frameworks (like PyTorch, Tensorflow, Keras, etc)Engaged in all steps of the product development process, working cross-functionally with a product manager, designer, user researcher, and data scientistExcellent communication skills for collaborating with cross-functional partnersHigh productivity and care to help teams collaborate more effectively and efficientlyA startup mindset, biasing towards thoughtful action with minimal direction.Why GalileoThis is an opportunity to join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally.We obsess over our team’s culture driven by inclusivity, empathy and curiosity.We invest in our team’s development and happiness because our employees are the keys to our success and ensuring happy customers – towards that end, we offer:
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