Atoms is building the machines that power the next era of progress. The role focuses on providing infrastructure for data scientists and engineers to effectively use ML and AI technologies, including building and maintaining software and tools for the ML stack and GenAI technologies.
Responsibilities:
- 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