ML engineers

Qualifications: Masters degree or equivalent in computer science or a related field (Chemistry, Physics, Mathematics, etc.)At least 6+ years of experience within the full software development lifecycle from planning through deployment and maintenance Demonstrated ability to design, implement, and scale machine learning workflows (ML OPs) and/or scientific computing workflows; including deployment and delivery of production-ready model APIsDemonstrated proficiency with version control systems and automated software testing and delivery Proficiency with at least one machine learning lifecycle platform (MLFlow, Meta Flow, Tensor Flow, etc.) and/or orchestration platform (Airflow, Dagster, etc.)Proficiency with at least one deep learning framework (PyTorch, Keras, JAX, etc.)

Responsibilities: A critical goal will be to enable model development by ML/AI scientists with a workflow that supports testing, validation, dynamic updating, and deployment You will join an interdisciplinary team of scientists and software engineers at our South San Francisco, CA research headquartersMLE/SW Engineer will work with other MLEs and ML Scientists. PyTorch computer vision with large datasets. Train model multiple PGUs, model and data debugging. Not NLP so much.