Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)

About the role

The Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) role at Capital One involves:

• Partnering with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products.
• Leveraging a broad stack of technologies to reveal insights within huge volumes of numeric and textual data.
• Building AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
• Engaging in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
• Flexing interpersonal skills to translate the complexity of your work into tangible business goals.

Responsibilities

In this role, you will:

• Work closely with a cross-functional team to develop AI-powered products that enhance customer interactions.
• Utilize a variety of technologies to uncover insights from vast datasets.
• Create and refine AI foundation models throughout the development lifecycle.
• Contribute to cutting-edge research aimed at advancing AI capabilities for customer experiences.
• Communicate complex technical concepts to stakeholders to align with business objectives.

Requirements

To succeed in this role, you should:

• Have a strong background in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields.
• Be proficient in open-source languages and have hands-on experience with AI foundation models and solutions.
• Have a deep understanding of AI methodologies and experience with large deep learning models.
• Be able to engage in high-impact applied research and lead projects autonomously.

Qualifications

• Currently pursuing or recently obtained a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields.
• Experience in building large deep learning models and working with technologies like Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, etc.
• Track record of delivering models at scale in terms of training data and inference volumes.
• Experience in delivering libraries, platform-level code, or solution-level code to existing products.
• A proven track record of generating high-quality ideas or improving upon existing ideas in machine learning.
• Ability to choose impactful research problems and carry out long-term projects independently.

Skills

• Strong analytical and creative problem-solving skills.
• Excellent communication and interpersonal skills.
• Technical proficiency in AI methodologies and technologies.
• Experience with multi-agent systems, knowledge graphs, and large-scale data processing.

Benefits

Capital One offers a comprehensive set of benefits to support your total well-being, including:

• Comprehensive health insurance plans.
• Financial wellness programs.
• Flexible spending accounts.
• Retirement savings plans.
• Employee assistance programs.

Pay

The minimum and maximum full-time annual salaries for this role are listed below, by location:

• Cambridge, MA: $218,700 - $249,600

Schedule

This role is full-time.

Additional Information

No agencies please. Capital One is an equal opportunity employer committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace.