Machine Learning Engineer for Cloud Deployment

3 weeks ago

Toronto, Ontario, Canada Curai Full time
Curai Health: Revolutionizing Access to Care

Curai Health is a pioneering AI-powered virtual clinic dedicated to improving access to care at scale. Our innovative approach enables specially trained clinicians to deliver primary care to more people at a fraction of the cost.

Our Mission

We partner with insurers and health systems to keep patients engaged in their care over time, improving health outcomes and reducing costs. Our remote-first company considers candidates across the United States, with a corporate office in San Francisco.

Job Summary

We are seeking a Senior Machine Learning Engineer to join our AI team. As a key member, you will be responsible for developing and deploying machine learning/automation technology that has a direct impact on provider and patient-facing applications.

Key Responsibilities
  • Fine-tune large language models and develop model evaluations
  • Design offline and online evaluations to test ML product features
  • Perform data-driven analysis of results to find actionable insights
  • Enable rapid and rigorous scientific innovation through platform, tools, and documentation
  • Mentor interns and junior team members
Requirements
  • 5+ years of industry experience in ML/NLP, including building production systems
  • End-to-end experience building ML production systems, including data processing, modeling, deployment, monitoring, maintenance, and improving models over time
  • Ability to translate product intuition into data-driven hypotheses
  • Experience leading cross-functional machine learning product initiatives
  • Interest in mentoring junior engineers
What We Offer
  • Unlimited PTO, flexible working hours, and remote working options
  • Excellent medical, dental, vision, flex spending plans, and paid parental leave
  • A highly collaborative, data-driven team focused on delivering our mission
  • Research partnerships with leading universities and access to medical data

We are committed to building a diverse and inclusive environment. We welcome candidates from all backgrounds and are an equal opportunity employer.

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