Review and label clinical data to ensure accuracy and consistency for AI training.
Provide clinical expertise on healthcare workflows and EHR documentation.
Collaborate with teams to evaluate AI outputs and improve model performance.
This company creates AI-powered healthcare solutions to advance patient care and clinical efficiency. It offers a remote, collaborative environment for experienced healthcare professionals.
Design and evaluate AI/ML solution approaches tailored to VA healthcare operations, assessing technical feasibility and mission alignment.
Conduct rigorous assessments of AI/ML models for accuracy, bias, fairness, and explainability in clinical contexts.
Support development of AI governance frameworks and policies consistent with federal regulations and VA guidance.
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Founded in 2012, the company has over 300 employees nationwide and focuses on technology, creativity, and human-centered services.
Lead complex modeling and analytical initiatives as a technical authority.
Drive modeling strategy and raise technical standards across the organization.
Leverage deep learning and LLMs with traditional methods to deliver real impact.
Gradient AI is a decision-intelligence platform for the insurance industry, using data to reveal risk and improve performance. Backed by $56M in Series C funding, it's a fast-scaling startup with a fun, team-oriented culture.
Design, build, and deploy machine learning models for cybersecurity use cases like threat detection and risk scoring.
Own the full model lifecycle from data preparation to production deployment, working closely with engineering and product teams.
Build preprocessing and feature engineering pipelines, and monitor model performance with continuous improvement.
SpyCloud transforms recaptured darknet data to disrupt cybercrime. With over 250 employees, it is home to cybersecurity experts protecting businesses and consumers from stolen identity data.
Drive search retrieval and ranking improvements to help designers find materials faster and discover new ones.
Build recommendation systems from the ground up, modeling member intent and catalog dynamics.
Conduct exploratory data analysis to inform strategy, design experiments, and measure success.
Material Bank is the world's largest material marketplace for the architecture and design industry, operating in 37 countries. The company fosters a growth-driven culture with small empowered teams that value efficiency and rapid execution.