echo
echo9mo ago
New

Applied AI Scientist

San Franciscofull-timemid
OtherApplied Ai Scientist
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Quick Summary

Overview

Company Overview Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions.

Key Responsibilities

Modeling brain data and associated metadata to obtain insights into existing and future datasets and implement high-performance inference and translation pipelines Designing and creating state-of-the-art transformers and other ML models to decode…

Requirements Summary

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 designing, developing, and deploying ML models in an industry…

Technical Tools
pythonpytorch

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 to join our team. The person who fills this role will apply ML & AI principles and practices to large datasets of time-series data and associated metadata to create powerful encoding and decoding models to interpret and understand brain activity, which will drive scientific discovery as well as product implementations to have real-world impact on patients with physical disabilities.

Responsibilities

~1 min read
  • Modeling brain data and associated metadata to obtain insights into existing and future datasets and implement high-performance inference and translation pipelines

  • Designing and creating state-of-the-art transformers and other ML models to decode brain signals into control signals for digital devices

  • Keeping up with the latest AI techniques and being able to quickly assess the relevance and utility of these techniques, including with prototypical evaluations with company datasets

  • Working collaboratively within a small team to explore and iterate on models, design the company's data-science platforms, and integrate ML models into product applications

  • Maintaining versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibility

  • Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products

Requirements

~1 min read
  • 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 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

Requirements

~1 min read
  • Experience working on medical or clinical applications

  • Experience translating methods described in scientific publications to available datasets

What We Offer

~1 min read
An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.
Competitive compensation, including stock options.
Comprehensive benefits package.
401(k) program with matching contributions.

Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.

All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.

Location & Eligibility

Where is the job
San Francisco
Hybrid — some on-site time required
Who can apply
Same as job location

Listing Details

Posted
July 29, 2025
First seen
May 6, 2026
Last seen
May 8, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
16%
Scored at
May 6, 2026

Signal breakdown

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echoApplied AI Scientist