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RemoteListed Jun 25, 2026

Lead Machine Learning Engineer

care.coach

  • AI-ML-Engineering-Lead
  • AI-ML-Healthcare
  • Behavioral-Health-Technology
  • Conversational-AI
  • Data Science
  • Lead-AI-ML-Engineer
  • Lead-ML-Engineer
  • Lead-Machine-Learning-Engineer
  • ML-Engineering-Lead
  • Machine-Learning-Engineering
  • Machine-Learning-Engineering-Lead
  • Machine-Learning-Engineering-Leader
  • Machine-Learning-Lead
  • Principal-Machine-Learning-Engineer
  • Senior-ML-Engineer

Assessed from original listing evidence

The role

Job description

We're looking for a highly experienced and mission-aligned ML engineer to join our team in a key engineering leadership role -- 

Minimum Requirements:

  • Doctorate in a related field
  • 8+ years of experience (including any applicable work in grad school) developing machine learning applications for practical use 
  • 2+ years in an agile software development environment, preferably with an early-stage startup 
  • 2+ years developing web-based applications, including web-based ML/data infrastructure 

Additional Desired Experience: 

  • Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation
  • Computer vision for human activity and sentiment classification
  • Development of data mining, analytics, dashboards and reporting systems
  • Engineering management (both personnel & projects)
  • LAMP stack w/ PHP, and Django web framework
  • Academic publications, conference speaker roles, or other public recognition as a top technical/domain expert

Location:  Anywhere in US

Job Type: Full-time regular W2 employment with benefits. (no C2C; no 1099; no visa sponsorship) 

Compensation: Competitive depending on qualifications

Company Headquarter: Located in Millbrae, CA

Job Type: Full-time

All your information will be kept confidential according to EEO guidelines.

At [link removed], we are pioneering human-in-the-loop digital avatars that support behavioral health among the highest-need, highest-risk patients (typically elderly) both in the hospital and at home. Please check out the following video to understand how we help vulnerable patients living at home: 

  • [link removed] removed]/2-min-demo 

Originally posted on Himalayas

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