# Machine Learning Engineer 4

**Company**: Capital One
**Location**: Chicago, IL
**Experience**: senior
**Job type**: full-time
**Salary**: $179,400 - $204,700
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Chicago-IL/Machine-Learning-Engineer-4_R1001327-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_acfb99be-7dd

## Description

We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies.

As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

**Responsibilities**

- Design, build, and deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams

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

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

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

- Retrain, maintain, and monitor models in production

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

- Construct optimized data pipelines to feed ML models

- Leverage continuous integration and continuous deployment best practices, including test automation and monitoring

- Ensure 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

- Use programming languages like Python, Scala, or Java

**Basic Qualifications**

- 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

**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

- 3+ years of experience working with Machine Learning techniques

- 3+ years of experience designing, implementing, and scaling production-ready data pipelines

- 1+ years of experience as a technical lead developing ML solutions

- Authored/co-authored a paper on a ML technique, model, or proof of concept

**Salary Information**

The minimum and maximum full-time annual salaries for this role are $179,400 - $204,700.

**Benefits**

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

## 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
- experience optimizing ML algorithms
- software development best practices
- building resilient software solutions
- Machine Learning techniques
- designing production-ready data pipelines
- technical lead experience

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Chicago-IL/Machine-Learning-Engineer-4_R1001327-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)