Curai Health is on a mission to expand healthcare access and deliver the best in class care to everyone. We run a virtual primary care clinic, and leverage AI and machine learning to help our doctors work more quickly and effectively with patients. At Curai Health we are building a diverse, world-class, multi-disciplinary team across engineering, AI research, product, design, operations, and medicine. Our Curaians come from a variety of backgrounds, are mission-oriented, embody our core values, and are passionate about making a difference in the lives of millions of people.

At Curai Health we have embraced remote-first and work with people from all over the country and world. Full-time team members receive benefits that include medical, dental, vision, 401(k) matching, a remote work stipend, parental leave, and more. We are well funded by top-tier Silicon Valley investors including Morningside, General Catalyst and Khosla Ventures.

AI/ML researchers/engineers at Curai come from strong technical backgrounds, and share a passion to make a positive impact in the lives of millions of people. We have research partnerships with leading universities in the country, and access to medical data that facilitates research in this space. Check out some of our work on our blog.

To learn more about working in our ML team, please check out our employee spotlights here, and see our Key Values blog post here.

In this role you will:

• Build, deploy, and improve robust machine learning models for patient and physician-facing product features in collaboration with our clinical innovation, research, engineering, and design teams.
• Design both offline and online experiments to test ML product features, and perform data-driven analysis on the results to find actionable insights.
• Provide input and collaborate closely with the ML Infrastructure team towards the development of technical platforms that power ML systems at Curai, and its ML engineering infrastructure and operations.
• Enable rapid and rigorous scientific innovation by a multidisciplinary team of Curai clinicians, engineers, and researchers, through platform, tools, and documentation.
• Mentor ML engineering interns and team members.
• Source and interview diverse talent to build and grow a strong ML engineering team.

An ideal candidate has:

• Experience building production machine learning models and systems: Expertise with the full lifecycle of machine learning algorithms in production, including research, deployment, improvements, and maintenance.
• Ability to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions.
• Experience leading cross-functional teams on strategic machine learning product initiatives from conception to successful product outcomes.
• Demonstrated ability to collaborate with a diverse set of stakeholders such as researchers, business leaders, domain experts (such as doctors), and product managers to solve complex cross-disciplinary problems.
• Masters with at least 6 years of relevant experience, or BS with at least 8 years of relevant experience.
• In-depth experience with at least one machine learning framework (such as TensorFlow, PyTorch, etc.)

Our company is remote-first and considering candidates across the United States.

At Curai Health, we are highly committed to building a diverse and inclusive environment. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for teammates that are mission-driven, embody our core values, and appreciate our transparent approach.