Machine Learning Jobs in Cary, NC

Lead design and development of scalable Java-based enterprise applications. Drive architecture, mentor engineers, deliver features, optimize performance, troubleshoot defects, and advance cloud, microservices, and DevOps modernization.

Leads BetaNXT’s enterprise AI product portfolio across DataXChange and InsightX. Owns discovery, market validation, roadmap development, requirements, commercialization, launches, adoption, performance measurement, governance, and client engagement. Partners with engineering, technology, risk, legal, sales, finance, marketing, and product leaders to embed AI capabilities into existing product roadmaps. Builds an AI product team, evaluates partners, and ensures secure, explainable, auditable, and production-ready solutions for regulated financial-services workflows.

Lead R&D for next-generation image and video coding using ML/AI. Design and implement video algorithms, codecs, and multimedia workflows, represent Disney in standards bodies, drive architectural innovation, and produce IP while collaborating globally across media processing, encoding, and streaming domains.

Lead analytics and forecasting for the Fortnite ecosystem: maintain core reporting, build time series forecasts and department-wide data models, perform executive analyses, ensure data quality, support self-service pipelines, and collaborate with engineering and product to drive data-driven decisions.

Lead analytics to inform Finance and Product for the Fortnite ecosystem. Maintain core reporting and forecasting, build time-series models, develop shared data models, perform executive analyses, ensure data quality, support self-service pipelines, and collaborate cross-functionally to improve data-driven decision-making.

The role involves designing and optimizing recommendation systems for Fortnite's Discover experience, including model implementation and A/B testing.

Design and optimize recommendation systems using deep learning approaches, manage pipelines and evaluate A/B tests to improve user experiences.

Build and productionize ML models and data pipelines, implement MLOps and CI/CD, monitor and retrain models, define ML frameworks and best practices, mentor hires, and collaborate with product and data teams to drive ML roadmap and operational excellence.

Design and evaluate memory architectures for foundation models across modalities. Build production-ready, scalable learning models, define memory metrics, collaborate with researchers, and recommend roadmap improvements for long-horizon behavior and efficient storage/retrieval.

Design and evaluate general memory architectures for foundation models across modalities. Develop production-ready, scalable learning models, define memory evaluation metrics, and collaborate with researchers to roadmap improvements.

Paid 6–12 month research internship on Epic's Special Projects & Research team. Build and evaluate ML models across vision, language, and audio to support player safety, game agents, world and content generation, and developer tools. Own data analysis and dataset creation, implement end-to-end models, run experiments, and collaborate with research scientists and engineers on deploying models at scale.