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Modern talk therapy software for mental health

ML Engineer

$100k – $130k • 0.0% – 2.0%
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Together, we can impact mental health on a global scale, and if you're ready to create groundbreaking technology in Healthcare AI, we invite you to apply for our ML Engineer role based in San Francisco where you'll get to build a world-class set of machine learning applications to scale the future of primary care to our homes.

Kintsugi is the first talk therapy software that detects anxiety and depression from 2-3 minutes of talking with 70% accuracy and provides community support for its users across 250 international cities. Stressed individuals have a reliable tool to feel heard and understood, and soon, healthcare practitioners will have a fast voice diagnostic via the Kintsugi API endpoint. Awarded the National Science Foundation SBIR grant for developing new AI technology for healthcare, Kintsugi is building the voice biomarker standard for digital therapeutics and diagnostics.

The technical opportunities we have yet to solve are in three broad areas:

Analyzing unique, longitudinal metadata across global voice data for chronic health conditions and understanding underlying behavioral health triggers.

Developing reward function experimentation from peer-to-peer interactions via various modalities, e.g. group therapy or buddy-systems.

Creating new voice biomarkers for early-detection and research for Alzheimer’s, Parkinson’s, ADHD, Bipolar, schizophrenia, neurological disorders, brain injuries, and heart failures.

Transforming voice intonations into biomarkers allows us to predict the existence of disease, monitor mortality, focus on patients in need, and optimize care and cost in this $47T chronic conditions market. Doctors on the verge of burnout themselves wish that there was a diagnostic to identify patient severity in real-time, track progress once they leave, help patients learn more about their emotional triggers, and prompt appointments when necessary.

We are excited to transform the challenges present in today’s healthcare infrastructure into opportunities to provide convenient, scalable, and affordable healthcare into all of our homes.

Minimum qualifications:

  • M.S. in Computer Science or equivalent
  • Strong programming skills with working knowledge of PyTorch, C++, and Python
  • Experience working on trained model optimizations and deployment
  • Experience with PyTorch, Keras, Flask, Kubernetes, and Cloud Functions
  • Team player with strong communication skills (oral and written)

Preferred qualifications:

  • Ph.D. in Computer Science, Speech/Language Processing or Machine Learning
  • Familiarity with the state-of-the-art in deep learning
  • Experience with end-to-end neural network development
  • Experience developing mobile and web applications

*Kintsugi proudly celebrates diversity and inclusion.

**Please note: Kintsugi does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Kintsugi employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

Kintsugi at a glance

Modern talk therapy software for mental health

Kintsugi focuses on Machine Learning, Artificial Intelligence, and Health and Wellness. Their company has offices in San Francisco. They have a small team that's between 11-50 employees.

You can view their website at https://www.kintsugihello.com or find them on Twitter, Facebook, and LinkedIn.

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