Aledade

Staff AI Researcher

Remote, United States · Staff+

Sponsorship not specifiedDetected 99 days ago

PythonDistributed SystemsDatabricksMachine LearningDeep LearningTensorFlowPyTorchSparkLLMsStatisticsEHR/EMRResearchLeadership

About the role

You will have a unique opportunity to train, fine-tune and use AI models using medical data we collect from millions of patients across the country.
Extensive use of computers and keyboard.

Build working prototypes using off-the-shelf and novel AI techniques to deliver higher optimization levels for the company.
Re-design current pipelines and systems to meet the growing data and query needs.
Develop evaluation metrics and benchmarks to assess the quality and performance of AI/ML models.
Experience in designing and implementing feature engineering pipelines, including data processing, feature extraction, and transformation to optimize model performance.
Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging.
Deliver working POC solutions solving speed, scalability and time-to-market tradeoffs.
You will partner with other engineering and analytics teams, bringing AI technology into existing products and workflows.

BS/BTech (or higher) in Computer Science or a related field required.
3+ years or Python language experience.
Experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.
Experience working with large-scale distributed systems at scale and statistical software (e.g. Spark).
3+ years of demonstrated proficiency in selecting the right tools given a data optimization problem.
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.
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.
Experience with Databricks/MLflow.
Experience with designing and implementing production-ready agentic systems.

As a Staff AI Researcher, you will develop AI solutions that will improve health for millions of people.
As a Staff AI Researcher, you will lead the way to harness knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions.
Proficiency in at least one major deep learning framework (e.g. PyTorch, Tensorflow, Keras, etc), with the ability to design and implement deep learning architectures.
Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.
Implement techniques for fine-tuning and adapting pre-trained generative models to specific healthcare domains or tasks.

Here at Aledade we empower primary care physicians with technology to keep their patients healthy and prevent unnecessary hospitalizations.

This listing is sourced directly from Aledade's careers page and normalized into a canonical job model.