Staff AI/ML Infrastructure Engineer (Permanent Remote, US)

As a Staff AI/ML Infrastructure Engineer, you will lead teams of engineers to develop ways to harness knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions. In this process, you will improve the efficacy of patient identification and delivery methods. You will enjoy the flexibility of being a part of a U.S.-based, permanently remote engineering and platform team. You will engage with stakeholders across multiple teams to lead the design, development, and productization of machine learning systems and solutions that help improve health outcomes for patients.
At Aledade, you will sit at the intersection of:A huge problem; amounting to trillions of dollars of waste in U.S. Healthcare spending.An approach that moves the needle; In the U.S., we wait until someone has a stroke, then are hospitalized. From there, no expense is spared. Using technology, Aledade changes that by enabling doctors to intervene with the proper preventive care, like blood pressure control, before it becomes a stroke.A platform that works at scale; last year 11,000 physicians across 36 states served ~1.7M patients, saving 24,000 unnecessary hospitalizations and 120,000 visits to the emergency room using Aledade’s technology.
But the journey is only 1% done, come join us to build a world-class team that will not quit till it addresses the trillions of dollars of suffering in U.S. healthcare spending
Technologies we use:Amazon Web Services, PostgreSQL / Amazon Aurora, Snowflake, Python, Node.js, Airflow, Spark, DataBricks, R, and various ML frameworks

Qualifications:

• Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience.
• 7+ years of experience developing and shipping code for production systems.
• Experience working with large-scale distributed systems at scale and statistical software (e.g., Spark, SQL, Python, R, etc.)
• Demonstrated leadership and self-direction. 
• 4+ years of demonstrated proficiency scaling large scale machine learning systems, feature engineering, and model optimization. 
• Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
• Experience with security and systems that handle sensitive data.

Responsibilities:

• Improve ML infrastructure for model development, training, and deployment.
• Design multi-year vision, shaping the direction of some of our crucial machine learning areas - intervention identification, attribution prediction, and patient ranking and relevance. 
• Architect systems to improve the relevance and drive business outcomes by making large, complex data sets more accessible. 
• Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
• Maintain the security of protected patient health information.

As the engineering team grows, you will lift the people around you:
• Mentoring and galvanizing new engineers to do their best work.
• Working across disciplines to shape a product strategy and execution.

All prospective hires will be required to demonstrate that they have been fully vaccinated, including booster shots, against COVID-19 with a COVID-19 vaccine for which the U.S. Food and Drug Administration has issued a license or an Emergency Use Authorization prior to mutually-agreed upon start date at Aledade, unless they qualify for a medical or religious accommodation to this vaccination requirement.
If you are passionate about transforming the healthcare system into one that best serves the needs of patients, doctors, and society, we’d love for you to join us!
Who We Are:Aledade is a leader in population health that is using innovative, value based solutions to transform the way physicians interact with their patients.  We are on a mission to change healthcare for the better and solve complex problems within the healthcare system. 
We follow the simple but radical idea that Aledade only succeeds when our partner practices succeed.  From our cutting-edge technology platform to practice transformation services, we provide physicians with everything they need to create and run an accountable care organization (ACO),  revamping the way they practice and getting them back to where they should be: quarterbacking their patients’ health care!
Our customized solutions help clinicians in communities across America preserve their autonomy, deliver better care to their patients, reduce overall costs, and keep inde