Member of Technical Staff - ML Research

• 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

No specific impact information provided in the job description.

• 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

No benefits information provided in the job description.

No organization information provided in the job description.