Senior Software Engineer, Applied Intuition

• Experience with building software components to address production, full-stack machine learning challenges. This is not purely a research problem
• Opinions about building a company-wide platform for ML training, evaluation, and deployment
• Knowledge of the open source landscape with judgment on when to choose open source versus build in-house
• Excellent analytical and problem-solving skills

Desirable

• We are looking for both infrastructure engineers with expertise in machine learning pipelines and ML engineers that want to work beyond modeling to join the Data & ML infra group
• This role will work across the entire ML lifecycle (dataset generation, training frameworks, compute, evaluation, and deployment) and work directly with modeling teams
• This team is a good fit if you are excited to work on broad, ambiguous problems and develop across the entire ML stack
• At Applied Intuition, we encourage all engineers to take ownership over technical and product decisions, closely interact with external and internal users to collect feedback, and contribute to a thoughtful, dynamic team culture
• Design and implement distributed cloud GPU training approaches for deep learning model training and evaluation
• Build end-to-end machine learning pipelines and integrate them into core product workflows
• Encourage change, especially in support of ML engineering best practices, and maintain a high standard of excellence
• Collaborate with engineers across the entire company to solve complex data problems at scale