Remote Otter LogoRemoteOtter

Senior ML/AI Researcher II - Remote

Posted Yesterday
Data Analysis
Full Time
USA

Overview

As a Senior ML/AI Researcher II, you will develop ML and AI solutions that will improve health for millions of people. You will collaborate with engineering and analytics teams to integrate AI technology into existing products and workflows.

In Short

  • Train and fine-tune models using ML/AI techniques.
  • Work with large, complex data sets for analysis.
  • Deliver working POC solutions addressing speed and scalability.
  • Collaborate with engineering and analytics teams.
  • Utilize extensive medical data for model training.
  • Address challenges from incomplete and mislabeled data.
  • Contribute to the field through publications or patents.
  • Communicate analysis effectively to diverse audiences.
  • Experience with health-tech systems is preferred.
  • Demonstrated leadership and self-direction.

Requirements

  • BA/BTech in Statistics, Data Science, or related field.
  • 6+ years of statistical analysis experience.
  • 6+ years of machine learning experience.
  • Understanding of causal inference.
  • 3-5 years selecting and optimizing ML tools.
  • 2+ years of Python experience.
  • 1+ years of deep learning and LLM experience.
  • Experience with large-scale distributed systems.
  • Contributions to the field through publications.
  • Experience with sensitive data handling.

Benefits

  • Opportunity to work with extensive medical data.
  • Impact health solutions for millions.
  • Collaborative work environment.
  • Professional development opportunities.
  • Flexible work arrangements.
Aledade logo

Aledade

Aledade is a healthcare technology company focused on empowering independent primary care practices to thrive in value-based care. By providing innovative tools and support, Aledade helps these practices improve patient outcomes, enhance operational efficiency, and achieve financial sustainability. The company is dedicated to transforming the healthcare landscape by fostering collaboration and leveraging data analytics to drive better health management.

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