Principal Machine Learning Engineer
Description
Principal Machine Learning Engineer
About Us:
At apree health we’re building an integrated health network that combines data-driven personalization, coordinated care delivery, and a best-in-class health navigation platform. This combination provides a vastly better health and care experience for our members while simultaneously lowering the total cost of care for our population. To date, we have partnered with more than 240 large enterprise customers, spanning millions of lives, to improve healthcare outcomes.
About the Role:
Are you passionate about leveraging machine learning to revolutionize healthcare and address the affordability crisis? Do you regularly find ways of applying AI to solve business needs and know how to prioritize objectives in terms of ROI? Do you enjoy working with others across the business who are interested in AI?
As a Principal Machine Learning Engineer, you'll play a pivotal role in developing and deploying AI models that drive actionable insights, enhance patient care, and optimize healthcare outcomes. The primary focus of this role is to personalize the experience to identify the best care for each member. In this role you will also work cross-functionally with engineers, data scientists, analysts, product managers, designers, and business leaders throughout the organization.
What You’ll Do:
Architect the design, development, and deployment of scalable machine learning models to extract valuable insights from complex healthcare data that facilitate decision-making and drive innovation in healthcare delivery.
Utilize your deep understanding of machine learning and statistical methods to mentor junior data scientists, analysts, and engineers.
Collaborate closely with cross-functional teams to integrate data from various sources, including electronic health records, medical claims, and wearable devices.
Champion best practices in machine learning engineering, including model evaluation, monitoring, and maintenance, to ensure robustness and reliability in production environments.
Drive the adoption of Google Cloud Platform (GCP) services, particularly Vertex AI, to streamline model development, training, deployment, and monitoring processes.
Stay abreast of the latest advancements in machine learning, healthcare technology, and cloud computing to continuously enhance our analytics capabilities.
What You’ll Bring:
A proven track record of designing, implementing, and deploying machine learning models in production environments, preferably leveraging GCP services such as Vertex AI.
Expertise in machine learning techniques, including deep learning, natural language processing, and reinforcement learning, with a strong emphasis on practical applications in healthcare.
Strong programming skills in Python and experience working with large-scale datasets, as well as proficiency in tools such as TensorFlow, PyTorch, or scikit-learn.
Excellent communication skills and the ability to collaborate effectively with diverse stakeholders, including data scientists, engineers, clinicians, and product managers.
A passion for driving innovation and making a positive impact in healthcare, combined with a deep understanding of the industry's challenges and opportunities.
8+ years of industry experience. Alternatively, a PhD in a CS, physics, or a similar quantitative science where ML was applied and 4+ years of industry experience.
Why Join Us:
Join a dynamic and inclusive team at the forefront of healthcare innovation, where your contributions will directly impact millions of lives.
Benefit from competitive compensation, including health insurance, retirement plans, and flexible work arrangements, as well as opportunities for professional development and growth.
Work in a collaborative environment where your ideas are valued and encouraged, and where you’ll significantly influence the direction of the organization
If you're excited about leveraging machine learning to transform healthcare and thrive in an entrepreneurial environment, we'd love to hear from you! Join us in our mission to reshape the future of healthcare and create a healthier, more affordable world for everyone.
Compensation: $185k-$221k/annual salary & bonus eligible (national average, premium markets may vary)