Lead Machine Learning Engineer

Job not on LinkedIn

🕒 April 1

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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care.coach

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

💰 Grant on 2021-04

Consulting • Logistics • Healthcare

care. coach is a digital health solutions provider that focuses on improving health outcomes and general wellbeing for care providers and health insurers. By integrating AI technology with compassionate support, care. coach offers services that simulate the ideal experience of having a live-in family member while ensuring clinical efficacy and scalability. Their platform provides tools for virtual health coaching, chronic condition support, and engagement for programs such as PACE and Medicare Advantage, catering specifically to the needs of families and caregivers, community-based organizations, and service providers.

📋 Description

• Lead engineering of human-in-the-loop digital avatars for behavioral health support • Collaborate with internal teams and stakeholders to deliver machine learning applications • Develop web-based applications and data infrastructures • Mentor and guide junior engineers

🎯 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities