# Lead Machine Learning Engineer (Finance Tech - AI Enablement)

**Company**: Capital One
**Experience**: senior
**Job type**: full-time
**Salary**: $197,300 - $225,100 for Lead Machine Learning Engineer (Cambridge, MA and McLean, VA), $215,200 - $245,600 for Lead Machine Learning Engineer (New York, NY)
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Cambridge-MA/Lead-Machine-Learning-Engineer--Finance-Tech---AI-Enablement-_R246699-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3abaead8-1ef

## Description

At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems.

In this role at Finance Tech, you will be playing a lead role as part of Finance Tech horizontal AI enablement teams in developing/deploying best practices and end-user facing AI use cases for Finance LOB.

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including:

- Partnering with cross-functional teams to deliver AI-powered products

- Designing, developing, testing, deploying, and supporting AI software components

- Fine-tuning, developing, and evaluating machine learning and foundation models

- Collaborating with Agile teams to create and enhance software that utilizes state-of-the-art AI and ML capabilities

- Contributing thought leadership and technical vision to the long-term roadmap of pioneering AI systems

- Leveraging a broad stack of Open Source and SaaS AI technologies

- Informing ML infrastructure decisions using understanding of ML modeling techniques and issues

- Retraining, maintaining, and monitoring models in production

- Constructing optimized data pipelines to feed ML models

- Ensuring all code is well-managed and models are well-governed

The ideal candidate will have:

- A Bachelor's Degree

- At least 6 years of experience designing and building data-intensive solutions using distributed computing

- At least 4 years of experience programming with Python, Scala, or Java

- At least 2 years of experience building, scaling, and optimizing ML systems

Preferred qualifications include:

- Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field

- 7+ years of experience designing, developing, delivering, and supporting AI services at scale

- 3+ years of experience building production-ready data pipelines that feed ML models

- 3+ years of on-the-job experience with an industry-recognized ML framework

- 3+ years of experience developing AI and ML algorithms or technologies using Python

Salary ranges from $197,300 to $245,600 per year, depending on location.

Capital One offers a comprehensive set of health, financial, and other benefits.

## Skills

### Required
- Python
- Scala
- Java
- distributed computing
- machine learning
- AI

### Nice to have
- Master's or Doctoral Degree in computer science
- electrical engineering
- mathematics
- industry-recognized ML framework
- data pipelines
- Retrieval Augmented Generation (RAG)

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Cambridge-MA/Lead-Machine-Learning-Engineer--Finance-Tech---AI-Enablement-_R246699-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)