Machine Learning Engineer

Interview Schedule: They will be doing one Webex and then final interview onsite Top Must Have's: • 4 years of professional ML engineering experience at an AI/ML-focused organization. • Familiarity with the state-of-the-art in behavior learning, language, and/or computer vision. • Experience training large-scale foundation models (VLMs, text-to-video models, etc) utilizing distributed training and high-performance optimization techniques such as quantization, mixed precision, model parallelism, data parallelism or FSDP. • Strong proficiency in Python and software development best practices such as unit testing, documentation, code review, continuous integration, and dependency management. • Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management. • An ability to move fast and switch between modes of rapid prototyping and robust implementation as required. Nice to haves Experience deploying models on embodied systems/robots. Experience working in mixed teams of research scientists and engineers. Experience Amazon EC2, S3, and/or Sagemaker. Experience with Bazel.