Member of Technical Staff - ML Research

Responsibilities

• Work across the full ML stack (data, model, eval, and infrastructure)

• Implement novel model architectures and training algorithms

• Build data pipelines and training infrastructure for massive, petabyte-scale, multimodal datasets

• Rapidly iterate on experiments and ablations

• Stay up-to-date on research to bring new ideas to work

We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.

• Strong grasp of machine learning fundamentals, and depth in at least one core domain (e.g. Computer Vision, Sensor Fusion, Language Models, Physics-informed NNs)

• Experienced at training models and understanding experiment results through careful analysis and ablation studies.

• Experienced at writing and optimizing massive petabyte-scale data pipelines.

• Familiarity with distributed training.

• [bonus] Familiarity with meteorology, computational fluid dynamics, and/or numerical simulations.

You don’t have to meet every single requirement above.