Curai | Senior Machine Learning Engineer | https://curaihealth.com/ | Remote within US | Full-time | Committed to being a remote-first company | We sponsor visas
Looking for ML engineers with end-to-end experience building, improving, and deploying machine learning models in production environments
= Key requirements =
1. Experience building ML production systems: being able to go from data processing, modeling, building pipelines, deployment in production and improving the model over time using data from the product or doctors' feedback
2. "Product sense" / intuition of what to build: Maturity of knowing what are "shiny objects" vs what would actually have an impact on the product and end users (patients and doctors). Healthy buy vs build tradeoff
3. Experience mentoring juniors would be a plus
4. Ability to collaborate with cross functional teams: This role involves collaboration with the clinical team, product and engineering as well as ML research. So being able to communicate ideas crisply to this diverse set of stakeholders will be a key part of the role.
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. AI/ML 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](https://medium.com/curai-tech/2020-ml-research-internships-a...) in this space. Also see our [Key Values blog post](https://www.keyvalues.com/curai).
Looking for ML engineers with end-to-end experience building, improving, and deploying machine learning models in production environments
= Key requirements =
1. Experience building ML production systems: being able to go from data processing, modeling, building pipelines, deployment in production and improving the model over time using data from the product or doctors' feedback
2. "Product sense" / intuition of what to build: Maturity of knowing what are "shiny objects" vs what would actually have an impact on the product and end users (patients and doctors). Healthy buy vs build tradeoff
3. Experience mentoring juniors would be a plus
4. Ability to collaborate with cross functional teams: This role involves collaboration with the clinical team, product and engineering as well as ML research. So being able to communicate ideas crisply to this diverse set of stakeholders will be a key part of the role.
= Job posting =
https://jobs.lever.co/curai/ee550fd9-134d-49ac-adaa-01673604...
= What we do =
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. AI/ML 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](https://medium.com/curai-tech/2020-ml-research-internships-a...) in this space. Also see our [Key Values blog post](https://www.keyvalues.com/curai).