Machine Learning Engineer

AI-powered virtual clinic providing primary care through ML-augmented applications and dedicated clinicians at reduced costs.
$150,000 - $200,000
Machine Learning
Mid-Level Software Engineer
Remote
51 - 100 Employees
2+ years of experience
AI · Healthcare

Description For Machine Learning Engineer

Curai Health, an innovative AI-powered virtual clinic, is seeking a Machine Learning Engineer to join their AI team. The company is revolutionizing healthcare access by combining ML technology with clinical expertise to deliver affordable primary care at scale.

The role focuses on developing and improving AI systems for patient and physician-facing features, with a strong emphasis on NLP and large language models. As an ML Engineer, you'll be working on cutting-edge applications that directly impact healthcare delivery, including fine-tuning language models and developing robust evaluation systems.

The position offers a competitive salary range of $150,000 - $200,000, plus significant stock grants. The company maintains a remote-first culture while having its corporate office in San Francisco, allowing for flexible work arrangements across the United States.

Key responsibilities include developing AI systems, designing evaluations, performing data-driven analysis, and enabling scientific innovation through platform development. The ideal candidate should have 2+ years of ML/NLP experience, strong technical fundamentals, and excellent communication skills.

Curai Health boasts a world-class team comprising AI researchers, practicing physicians, and tech industry veterans. The company is well-funded by top-tier Silicon Valley investors including Morningside, General Catalyst, and Khosla Ventures. They offer comprehensive benefits including unlimited PTO, excellent healthcare coverage, 401k matching, and equity compensation.

The company strongly emphasizes diversity and inclusion, maintaining a bias-free workplace with transparent compensation practices. This role presents an exceptional opportunity to work on meaningful healthcare problems while leveraging cutting-edge AI technology to improve patient care accessibility and quality.

Last updated 7 hours ago

Responsibilities For Machine Learning Engineer

  • Develop and improve AI systems for patient and physician-facing product features
  • Design offline and online evaluations to test ML product features
  • Perform data-driven analysis to find actionable insights
  • Enable rapid scientific innovation through platform, tools, and documentation
  • Interview talent to build and grow ML team

Requirements For Machine Learning Engineer

Python
  • 2+ years of industry experience in ML/NLP including building production systems
  • End-to-end experience building ML production systems
  • Strong ML fundamentals
  • Product sense and ability to translate product intuition into data-driven solutions
  • Strong communication skills
  • Comfortable leading cross-functional machine learning product initiatives

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Equity
  • Unlimited PTO
  • Flexible working hours
  • Remote working options
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Flex spending plans
  • Parental leave
  • 401k plan with employer matching
  • Competitive compensation and stock

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