AIML - Machine Learning Engineer, MIND

As a member of this team, you will use your background to: - Develop features and models to improve the capabilities of systems that use machine learning - Scale up model training, build data pipelines, and tuning to improve system performance - Review and implement pioneering machine learning algorithms - Build software that improves rate of experimentation Proficient in Python and deep learning frameworks like PyTorch. Experience with training ML models including deep learning based models. Able to define metrics, evaluate ML models, and perform error analysis. Familiar with recent advances in deep learning. Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field. Experience with modeling vision problems in the areas of object detection, facial recognition, and/or temporal machine learning. Experience with building efficient ML models through HW/SW co-design. Experience crafting and defining datasets and metrics for novel tasks. Experience with shipping ML features and products. Excellent problem-solving and analytical skills with a thorough approach. Most importantly: a strong curiosity, willingness to dive deep into unfamiliar problems, and an eagerness to learn and grow in a fast-evolving field.

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