AI Research Scientist

• Support the development of representation learning models to integrate massive-scale hierarchical data with diverse record sets.
• Evaluate and benchmark diverse machine learning models to resolve data conflicts and improve the accuracy of relationship discovery at scale.
• Assist in building scalable ML prototypes that analyze billions of data points to provide automated insights and personalization.
• Develop efficient data pipelines to process and vectorize massive-scale datasets for downstream research and modeling tasks.
• Collaborate closely with senior researchers to document findings and prepare technical reports on model performance and scalability.

Graduate Research Co-op – AI & Representation Learning

• Engage in relevant research and development (R&D) of AI systems, models, and advanced machine learning algorithms that augment physics-driven modeling and simulation systems
• Explore and implement AI-powered simulation tooling in support of AI workflows through reinforcement learning, multi-agent systems, and hybrid modeling approaches
• Collaborate with research, engineering, and product teams to build AI-powered solutions that meet mission-critical modeling and decision-support needs
• Engage in and support the drafting and review of conference and journal articles and presentations, sharing advances with both internal stakeholders and the wider research community.
• Contribute content to technical invention disclosures, including associated narrative, graphics, and engagements in support of patent development
• Perform additional responsibilities (no more than 10% of duties) in support of the company’s technology and product development initiatives.

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Graduate Research Co-op – AI & Representation Learning

AI Research Scientist, Applied AI