LOOKING FOR - ML Engineer or ML Researchers familiar with:

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

What we’re looking for

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