Chief Data Analytics Engineer

1 day ago


Mountain View, California, United States NeuroPace Full time
Job Requirements

To succeed in this role, you will need to have a strong background in machine learning and deep learning, with expertise in RNNs, CNNs, LSTMs, transformers, and attention-based models. You should also have experience with data preparation and training/validation issues. A Bachelor's degree in a related field such as Math, Engineering, or Computer Science is required, while a Master's/PhD is preferred. Additionally, you should have at least 8 years of experience in Data Science or Data-enabled products, with 4+ years of experience in training and optimizing deep learning models.

The estimated salary for this position is $**$175,000** per year, based on industry standards and the level of expertise required. Benefits include medical, dental, and vision insurance, voluntary life insurance, 401K, RSU, 529 plan, ESPP Program, Health & Wellness Program, and generous paid time off.

As a Chief Data Analytics Engineer, you will be responsible for leading a group of engineers and scientists to conduct research in brain neuromodulation using clinical and chronic brain physiological data collected by our direct brain-responsive neurostimulator. You will also work closely with our Vice President of Clinical and Research, Chief Medical Officer, and Vice President of Research and Development to develop AI/ML objectives and timelines that support the company's goals.



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