Startups · AI

Applied AI Scientist, Language + Context

Echo Labs · San Francisco · On-site

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About Echo Labs

Echo Labs is a cutting-edge AI captioning platform built for higher education. Transform your institution. Backed by AI Grant and Techstars.

About the role

Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life. Leverage a deep understanding of LMs to create custom solutions for brain-computer interface applications, including LLM fine-tuning, customization, and dissection

What they're looking for

  • Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative field
  • A minimum of 5 years of combined academic and professional ML experience
  • Experience deploying ML models in an industry setting
  • Experience designing, developing, and deploying LM models in an industry setting
  • Experience designing, training, and evaluating transformers
  • Proficiency in Python and PyTorch
More about this role

Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.

Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.

We are seeking an experienced Applied AI Scientist, with a focus on language & context modeling, to join our team. The person who fills this role will apply ML/AI principles and practices to designing, developing, fine-tuning, personalizing, and miniaturizing flexible language and context models for use within brain-computer interface applications to have real-world impact on patients with physical disabilities.

  • Language modeling

Leverage a deep understanding of LMs to create custom solutions for brain-computer interface applications,...

Read the full posting on Echo Labs's site ↗

Machine Learning

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