Full-Time

Senior Machine Learning Engineer

Confirmed live in the last 24 hours

Curai

Curai

51-200 employees

AI-powered telehealth platform for consultations

AI & Machine Learning
Healthcare

Compensation Overview

$200k - $240kAnnually

+ Stock Grants

Senior

Remote in USA

Remote-first company considering candidates across the United States.

Category
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Natural Language Processing (NLP)
Data Analysis
Requirements
  • 5+ years of industry experience in ML/NLP, including building production systems.
  • “End-to-end” experience building ML production systems: Along with strong ML fundamentals, you will need expertise in the entire lifecycle of machine learning production systems, such as data processing, modeling, deployment, monitoring, maintenance, and improving the models over time using feedback loops.
  • "Product sense" or intuition on what to build: You will need to be able to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions.
  • Strong communication skills: This role involves collaboration with product, engineering, clinical, and research teams. Understanding the audience's mental models and communicating ideas crisply to diverse stakeholders will be vital to the role. You should be comfortable leading cross-functional machine learning product initiatives, from conception to successful product outcomes.
  • Experience and/or interest in mentoring junior engineers.
Responsibilities
  • You will develop and improve our AI systems used in our patient and physician-facing product features in collaboration with our product, clinical, engineering, and design teams. Includes fine-tuning large language models, developing model evaluations, and dealing with hard engineering constraints like latency and expensive model inference.
  • Design offline and online evaluations to test ML product features, and perform data-driven analysis of the results to find actionable insights.
  • Enable rapid and rigorous scientific innovation by a multidisciplinary team of Curai clinicians, engineers, and researchers, through platform, tools, and documentation.
  • Mentor interns and junior team members.
  • Interview diverse talent to build and grow a strong ML team.

Curai Health offers digital healthcare services that use artificial intelligence to provide accessible and affordable medical consultations for non-emergency conditions. Patients can interact with AI-driven chatbots and human doctors through a user-friendly platform, allowing them to receive medical advice and treatment without visiting a clinic. The company operates on a subscription-based model, generating revenue while continuously improving its technology and expanding services. Curai Health aims to enhance healthcare accessibility for individual patients, particularly those in remote areas or with mobility issues.

Company Stage

Series B

Total Funding

$37.2M

Headquarters

Palo Alto, California

Founded

2017

Growth & Insights
Headcount

6 month growth

10%

1 year growth

17%

2 year growth

34%
Simplify Jobs

Simplify's Take

What believers are saying

  • The growing telehealth market, accelerated by the COVID-19 pandemic, offers significant growth opportunities for Curai Health.
  • Partnerships with employers and insurance companies can broaden Curai's client base and enhance revenue streams.
  • Continuous improvements in AI technology can lead to more accurate diagnoses and better patient outcomes, increasing user satisfaction and retention.

What critics are saying

  • The reliance on AI for medical consultations may face regulatory scrutiny and potential pushback from traditional healthcare providers.
  • The telehealth market is becoming increasingly competitive, requiring Curai to continuously innovate to maintain its market position.

What makes Curai unique

  • Curai Health leverages advanced AI to provide medical consultations, setting it apart from traditional telehealth providers that rely solely on human doctors.
  • The subscription-based model ensures a steady revenue stream, allowing continuous investment in AI technology and service expansion.
  • Curai's focus on accessibility and affordability makes it particularly appealing to patients in remote areas or those with mobility issues.

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