Who we are:

K Health is venture-backed, fast-growing startup with a mission to use the power of Artificial Intelligence (AI) to get everyone access to higher quality healthcare at more affordable costs. We’re looking for mission driven individuals to join our team and help us eliminate healthcare inequalities to build a better and healthier future.

Featured most recently in Forbes and Business Insider as a leading AI startup, K Health is a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.

K Health was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.

 About the role:

We are seeking a motivated and experienced machine learning engineer to join our team.

As a machine learning engineer you will work closely with data scientists, MDs and software developers to develop, train and serve models as well as building AI systems that are changing the health industry sphere. If you are passionate about AI, machine learning, code quality and want to work on cutting-edge “do good” projects with a talented and dynamic team, we encourage you to apply.

What you'll be doing:

  • Design and implement machine learning models, processes and AI systems.
  • Study, transform, and convert data science prototypes.
  • Optimize and fine-tune machine learning models for performance, accuracy, and scalability.
  • Collaborate with software developers to integrate machine learning models into production systems.
  • Stay up-to-date with the latest advancements in machine learning and apply them to improve the company's products and services.

What we're looking for:

  • 2+ years of experience designing and implementing machine learning models.
  • 3+ years of industry experience with Python.
  • Experience with torch, torch distributed (Nice to have), CUDA and other low level ML libraries.
  • Familiarity with relevant Machine learning algorithms (Transformers, LoRa, Quantizations, …)
  • Experience with cloud-based machine learning platforms such as Google cloud, Azure, or AWS.
  • Knack for code quality and optimization
  • Strong problem-solving skills and ability to work independently and as part of a team.
  • Experience with ML workflow frameworks such as Kubeflow Vertex pipelines, AirFlow or Sagemaker pipelines (Nice to have!).

Benefits & Perks:  #LI-Hybrid

  • 20 paid vacation days, 18 days sick leave, and additional 3-day weekends
  • Hybrid work schedule with team meals and stocked fridges
  • Commuter Benefits
  • Community focused events
  • Pension Plan
  • Stipend per day for food
  • Stock options for every full-time employee
  • Vocational Studies Fund 

We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise.  

We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users.

We are committed to maintaining the integrity of our hiring process and ensuring a safe environment for all candidates. All communication for job offers from K Health will come from email addresses ending in @khealth.com. K Health will never ask you to provide financial information about yourself during the recruitment process. We will never use personal email accounts or other domains for official correspondence. Our official job postings are only listed on our official website and reputable job boards. Be cautious of job offers from sources other than these platforms.

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