# Machine Learning Engineer 4

**Company**: Capital One
**Location**: McLean, VA
**Experience**: senior
**Job type**: full-time
**Salary**: $179,400 - $204,700 for Plano, TX and $197,300 - $225,100 for McLean, VA
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Machine-Learning-Engineer-4_R1001564-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7c9081d4-961

## Description

We are seeking a Machine Learning Engineer 4 to join our team at Capital One. As a Machine Learning Engineer, you will have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

You will be responsible for:

- Designing, building, and delivering ML models and components that solve real-world business problems

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

- Solving complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment

- Collaborating as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications

- Retraining, maintaining, and monitoring models in production

- Leveraging or building cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale

- Constructing optimized data pipelines to feed ML models

- Ensuring all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI

Requirements:

- Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field

- At least 4 years of experience programming with Python, Java, Golang, or C++

- At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries

- At least 4 years of experience using and operating large scale distributed systems

- At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud

Preferred Qualifications:

- Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field

- 3+ years of experience optimizing ML algorithms, configurations, and infrastructure

- 3+ years of experience following software development best practices

- 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques, monitoring, alarms, and preparing incident response plans

Benefits:

- Competitive salary: $179,400 - $204,700 for Plano, TX and $197,300 - $225,100 for McLean, VA

- Performance-based incentive compensation

- Comprehensive, competitive, and inclusive set of health, financial and other benefits

## Skills

### Required
- Python
- Java
- Golang
- C++
- PyTorch
- Tensorflow
- Pandas
- NumPy
- Scikit-learn
- Spark
- Ray
- Kubernetes
- AWS
- GCP
- Azure

### Nice to have
- Master's or Doctoral Degree in Computer Science
- Electrical Engineering
- Mathematics
- software development best practices
- ML algorithms
- configurations
- infrastructure

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Machine-Learning-Engineer-4_R1001564-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)