Senior AI Researcher II - ML and AI modeling

at  Aledade

As a Senior AI Researcher II, you will develop ML and AI solutions that will improve health for millions of people. At Aledade, we empower primary care physicians with technology to keep their patients healthy and prevent unnecessary hospitalizations. You will collaborate with engineering and analytics teams to integrate AI technology into existing products and workflows.
You will work with one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions. This role offers a unique opportunity to train, fine-tune, and use AI models using medical data collected from millions of patients across the country.

MINIMUM QUALIFICATIONS:

• BA/BTech in Statistics, Data Science, Computer Science or a related field required.
• 6+ years of relevant statistical analysis experience.
• 6+ years of relevant machine learning experience (ML modeling, hyperparameter tuning, feature engineering, model validation etc)
• Understanding of causal inference and treatment effects estimation.
• 3-5 years of experience selecting, implementing, and optimizing ML tools and frameworks for large-scale projects.
• 2+ years or Python language experience.
• 1+ years of relevant deep learning and LLM experience.
• 1+ years experience working with large-scale distributed systems at scale and statistical software (e.g. Spark).
• Experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.
• Contributions to the field (e.g., publications, patents, or successful large-scale implementations).

PHYSICAL REQUIREMENTS:

• Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

• Train and fine-tune models using off-the-shelf and novel ML/AI techniques solving optimization problems for the company.
• Work with large, complex data sets. Conducting difficult, non-routine analysis and harvesting data.
• Deliver working POC solutions solving speed, scalability and time-to-market tradeoffs.