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Senior Machine Learning Engineer

Engineering • Regular - Remote - Full Time, Remote

Apree Health Logo

apree health brings together a best-in-class engagement platform with an advanced primary care model to provide a vastly better health and care experience, improve outcomes, and significantly lower the total cost of care for a population.

Senior Machine Learning Engineer

San Francisco Bay Area, CA or Remote 

About Us

At apree, our mission is to help solve the healthcare affordability crisis. We’re accomplishing this by building an integrated solution that combines advanced primary care with a technical foundation that empowers them to provide better care to patients. Specifically, our team at apree is combining many data sets and developing AI models to surface actionable insights to care teams. We are passionate about leveraging advanced analytics, machine learning, and artificial intelligence to improve healthcare outcomes and drive innovation in the field.

Are you looking to improve healthcare in the US? Do you want to wake up every morning knowing that the work you’re doing is helping people live healthier lives and saving them money? Do you have a proven track record of coming up with innovative solutions, constructing impactful ML models, and thinking of new products and features to deliver? If you’ve answered yes, then we’d love to hear from you! 

Position Overview

We are seeking a talented and experienced Senior Machine Learning Engineer to join our team. The ideal candidate will possess a unique blend of technical expertise, domain knowledge in healthcare, and a passion for leveraging data to make a positive impact. As a Senior Machine Learning Engineer, you will play a key role in ingesting, analyzing, and modeling complex healthcare data to deliver valuable insights to stakeholders.

Key Responsibilities:

  • Collaborate with cross-functional teams to ingest and integrate data from various sources, including electronic health records, medical claims, and more.

  • Design and implement robust data pipelines using tools such as Apache Airflow and Google Cloud Platform (GCP) services.

  • Develop and deploy machine learning models to extract meaningful patterns and insights from healthcare data using Vertex AI among other tools.

  • Work closely with medical practitioners, researchers, and other stakeholders to understand their data needs and translate them into actionable solutions.

  • Build scalable and interpretable models that facilitate decision-making and drive innovation in healthcare delivery.

  • Stay abreast of the latest advancements in data science, machine learning, and healthcare technology to continuously improve our analytics capabilities.


  • PhD in Computer Science, Statistics, Physics, or a related field with at least 1 year of relevant experience OR Bachelor’s/Master’s degree with at least 5 years of experience in data science or a related field.

  • Strong proficiency in machine learning techniques, statistical analysis, and data visualization.

  • Hands-on experience with building and deploying data pipelines using Apache Airflow, GCP, or similar technologies.

  • Deep understanding of healthcare data, including electronic health records, medical imaging, and clinical trials.

  • Excellent programming skills in languages such as SQL and Python with experience in working with large-scale datasets.

  • Proven track record of delivering impactful data-driven solutions in a collaborative environment.

  • Strong communication skills and the ability to effectively convey complex technical concepts to non-technical stakeholders.


Why Join Us

  • Opportunity to work on cutting-edge projects at the intersection of data science and healthcare and make an enormous positive impact to millions of lives

  • Collaborative and inclusive work environment where your ideas are valued and encouraged.

  • Competitive salary and benefits package, including health insurance, retirement plans, and flexible work arrangements.

  • Continuous learning and professional development opportunities to enhance your skills and advance your career in data science.


How to Apply

If you are passionate about leveraging data to transform healthcare and thrive in a fast-paced, collaborative environment, we would love to hear from you! Please submit your resume outlining your relevant experience and why you are excited about this opportunity. apree is an equal opportunity employer and values diversity in the workplace. We encourage individuals from all backgrounds to apply.


Compensation:  $127k-$215k/annual salary (national average, premium markets may vary)