K Health logoK Health logo

Machine Learning Platform Engineer

K HealthTel-Aviv, IL
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Experience Level

Mid to Senior

Qualifications

We are seeking candidates who have a solid foundation in machine learning, data engineering, and software development. The ideal candidate will possess:Proficiency in programming languages such as Python, Java, or Scala. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of data structures, algorithms, and software design principles. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Ability to collaborate effectively in a team-oriented environment. Strong problem-solving skills and attention to detail. A degree in Computer Science, Data Science, or a related field (Master's preferred).

About the job

Who We Are:

Founded in 2016, K Health aims to revolutionize the healthcare landscape by making high-quality medical services accessible to everyone. As a pioneering clinical AI company focused on primary care, we have developed a suite of clinical AI agents that optimize provider efficiency and enhance patient outcomes. Our virtual primary care platform features an AI copilot that streamlines initial patient intakes, summarizes relevant information from electronic medical records (EMR), and generates comprehensive notes, thus significantly reducing the time our healthcare providers spend on administrative tasks. Unlike traditional virtual medicine companies, K Health offers holistic, continuous primary care in a digital environment, allowing our clinicians to function as genuine primary care providers while maintaining the integrity of their practice and continuity of care.

As a venture-backed startup with nearly $400 million in funding and a $900 million valuation as of July 2024, K Health is uniquely positioned for enduring growth. We are expanding collaborations with major health systems such as Cedars-Sinai, Hackensack Meridian Health, and Hartford HealthCare, enhancing both accessibility and quality of care by merging human expertise with technological advancements. Our providers are credentialed at these prestigious health systems and strictly adhere to their clinical guidelines, ensuring patient-centered, evidence-based care. Fully integrated with Epic, our AI platform operates as a seamless extension of existing healthcare systems, leveraging a built-in network of specialists and social services to effectively serve diverse communities. Our distinctive care delivery model allows our providers to offer high-quality, accessible care to a mixed-payer population, including those with commercial insurance, Medicare, and Medicaid.

Join us in our mission to create a smarter, simpler healthcare experience for the future - today!

About the Role

We are in search of a driven and skilled Machine Learning Platform Engineer to become a vital member of our innovative team.

In this position, you will work collaboratively with data scientists and DevOps experts to design and develop the infrastructure, ecosystem libraries, and data pipelines that propel our data science initiatives. You will take charge of model development, monitoring, and maintenance, partnering closely with data scientists on a daily basis.

If you are passionate about AI, machine learning, and producing high-quality code, and are eager to contribute to groundbreaking, impactful projects in the digital health space, we would love to hear from you!

About K Health

K Health is at the forefront of transforming healthcare through innovative technology and AI-driven solutions. Our mission is to ensure that everyone has access to high-quality healthcare services. With strong backing and a commitment to excellence, we are reshaping the future of primary care.

Similar jobs

Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, location & role pages.

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.