Applied AI Scientist: Brain Signals & Transformers

Stealth Neurotechnology Company

San Francisco (CA)

On-site

USD 190,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Stock options
Competitive compensation

Job summary

Echo Neurotechnologies seeks an experienced Applied AI Scientist to apply ML/AI to large time-series datasets and metadata to create encoding/decoding models that interpret brain activity. This role drives scientific discovery and product implementations impacting patients with physical disabilities.

You will build high-performance inference pipelines, develop transformers to convert brain signals into control signals for devices, and collaborate to design data-science platforms while ensuring

Qualifications

  • Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative field.
  • Minimum of 5 years of combined academic and professional ML experience.
  • Experience designing, developing, and deploying ML models in an industry setting with large-scale, distributed ML platforms.
  • Experience designing, training, and evaluating transformers.
  • Experience working with high-dimensional time-series data, state-space models, or foundation models.
  • Proficiency in Python and PyTorch.
  • Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines.

Responsibilities

  • Model brain data and metadata to obtain insights and implement high-performance inference and translation pipelines.
  • Design state-of-the-art transformers and other ML models to decode brain signals into control signals for digital devices.
  • Stay current with AI techniques and evaluate their relevance using company datasets.
  • Collaborate within a small team to explore, iterate on models, and integrate ML into product applications.
  • Maintain versioned, well-documented code, pipelines, and results for reproducibility.
  • Contribute to documentation for a Quality Management System related to ML in medical products.

Skills

Python
PyTorch
Transformers
Time-series ML
GPU acceleration

Education

Bachelor's or Master's in Math, Engineering, Data Science, or other quantitative field

Tools

GPUs
GPU software toolkits

Job description

Echo Neurotechnologies seeks an experienced Applied AI Scientist to apply ML/AI to large time-series datasets and metadata to create encoding/decoding models that interpret brain activity. This role drives scientific discovery and product implementations impacting patients with physical disabilities.

You will build high-performance inference pipelines, develop transformers to convert brain signals into control signals for devices, and collaborate to design data-science platforms while ensuring

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