# Applied Researcher 4

**Company**: Capital One
**Experience**: senior
**Job type**: full-time
**Salary**: $218,700 - $249,600
**Category**: Research
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Applied-Researcher-4_R1004143?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0039e682-ed1

## Description

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.

The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems.

**Responsibilities:**

- Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.

- Leverage a broad stack of technologies , Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more , to reveal the insights hidden within huge volumes of numeric and textual data.

- Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.

- Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.

- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

- Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings.

**The Ideal Candidate:**

- You love the process of analyzing and creating, but also share our passion to do the right thing.

- Innovative. You continually research and evaluate emerging technologies.

- Creative. You thrive on bringing definition to big, undefined problems.

- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

- Technical. You’re comfortable with open-source languages and are passionate about developing further.

- Has a deep understanding of the foundations of AI methodologies.

- Experience building large deep learning models, whether on language, images, events, or graphs.

- An engineering mindset as shown by a track record of delivering models at scale.

**Basic Qualifications:**

- Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields.

**Preferred Qualifications:**

- PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields.

- Experience with large scale deep learning based recommender systems.

- Contributions to common open source frameworks.

**Salary Information:** The minimum and maximum full-time annual salaries for this role are: Cambridge, MA: $218,700 - $249,600 McLean, VA: $218,700 - $249,600 New York, NY: $238,600 - $272,300 San Jose, CA: $238,600 - $272,300

**Benefits:** Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

## Skills

### Required
- Pytorch
- AWS Ultraclusters
- Huggingface
- Lightning
- Machine Learning
- Deep Learning

### Nice to have
- Geometric Deep Learning
- Graph Neural Networks
- Sequential Models
- Multivariate Time Series
- Large Scale Deep Learning Based Recommender Systems

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