About Galileo
Interested in shaping the future of Generative AI? At Galileo, our mission is to make AI safe and available to all.
Our roots lie in leading the creation of some of the world’s most widespread AI applications from Apple’s Siri to Google Speech. We believe AI builders need well-crafted, proprietary research powered tools to create trustworthy and high-quality generative AI applications that will change how we work and live.
Galileo addresses the challenges of experimenting with, evaluating, and observing GenAI applications, streamlining the development process for developers and teams. By providing a unified platform across the AI development lifecycle, Galileo addresses these critical gaps, making it significantly easier for developers to refine and deploy trustworthy and accurate GenAI applications.
In a few short years since its inception, Galileo is already used by Fortune 10 banks, Fortune 50 telecommunications companies, as well as AI teams at Reddit, Headspace Health and dozens of others. We are backed by top-tier investors, have offices in New York and San Francisco, and are growing fast.
Role Description
Galileo Technologies, Inc. seeks a Machine Learning Engineer in San Francisco, CA to assist with building, testing, and experimenting with ML models using unstructured data; Communicates results of research and experiments with team in order to inform product development; Working with popular ML frameworks (like PyTorch, TensorFlow, Keras); Working with ML related services in AWS, Google Cloud, or Microsoft Azure; Write highly efficient Python code for Galileo's server software to ensure overall robustness of the software system; Design Galileo's backend software to ensure Galileo scales to users across the world see no software issues using Galileo; Apply advanced Machine Learning techniques to build Galileo's software technology; Design, develop and test key software components of Galileo's servers.
Telecommuting from anywhere in the US is accepted.
To apply, please visit https://ats.rippling.com/galileo/jobs and select Machine Learning Engineer.
Salary: $215,197-$230,000/year based on location, experience, and business needs. Benefits: comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, voluntary life insurance, 401(k) to eligible employees, and employee stock participation to eligible employees.
Requires a Bachelor's degree or foreign equivalent in Computer Engineering, Computer Science, Software Development, Information Technology, or a related field plus 5 years of experience in the job offered or related occupation. Alternatively, employer will accept a Master's degree or foreign equivalent in Computer Engineering, Computer Science, Software Development, Information Technology, or a related field plus 2 years of experience in the job offered or related occupation.
Requires 2 years of experience in each of the following: Perform comprehensive code reviews for machine learning and backend Python services; Design and implement APIs to provide seamless functionality for ML related software services, ensuring robustness, scalability, and maintainability; Proficiency in API development frameworks such as Python Fast API, Django or similar; Proficiency with popular ML frameworks such as PyTorch, TensorFlow and Keras; Proficiency with ML related services such as AWS Sagemaker, Google Cloud AI Platform, Microsoft Azure ML.