Machine Learning Engineer - Bask Health LLC : Job Details

Machine Learning Engineer

Bask Health LLC

Job Location : New York,NY, USA

Posted on : 2025-07-11T01:06:20Z

Job Description :

Bask Health is at the forefront of the health-tech industry, providing personalized healthcare experiences through advanced, user-friendly technology. Our platform serves as a launchpad for entrepreneurs, doctors, physicians, and influencers in the DTC telehealth sector.

  • Location: New York, NY, United States
  • Employment Type: Full-time
Requirements

We are looking for a skilled Machine Learning Engineer to become a key player on our team. The successful candidate will be passionate about crafting sophisticated machine learning models and AI-powered solutions. In this role, you'll tackle a diverse range of projects, and work closely with cross-functional teams to seamlessly integrate AI into our products and services.

Bask Health is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Full Description

Bask Health is at the forefront of the health-tech industry, providing personalized healthcare experiences through advanced, user-friendly technology. Our platform serves as a launchpad for entrepreneurs, doctors, physicians, and influencers in the DTC telehealth sector.

Requirements

We are looking for a skilled Machine Learning Engineer to become a key player on our team. The successful candidate will be passionate about crafting sophisticated machine learning models and AI-powered solutions. In this role, you'll tackle a diverse range of projects, and work closely with cross-functional teams to seamlessly integrate AI into our products and services.

Bask Health is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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