Staff AI Researcher

September 16

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Aledade, Inc.

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Accountable Care Organizations (ACOs) • Health Information Technology • Data Analytics • Physician Collaborations

501 - 1000

Description

• Build working prototypes using off-the-shelf and novel AI techniques to deliver higher optimization levels for the company. • Work with large, complex data sets. Solve difficult, non-routine analysis problems to harvest data. • Re-design current pipelines and systems to meet the growing data and query needs. • Implement techniques for fine-tuning and adapting pre-trained generative models to specific healthcare domains or tasks. • 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.

Requirements

• BS/BTech (or higher) in Computer Science or a related field required. • 3+ years of relevant deep learning and LLM work experience. • 8+ years of relevant machine learning and statistical analysis experience. • 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.