# Machine Learning Engineer 5 (Senior Manager, IC)

**Company**: Capital One
**Experience**: senior
**Job type**: full-time
**Salary**: $209,000 - $238,500
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Chicago-IL/Machine-Learning-Engineer-5--Senior-Manager--IC-_R1001279-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_aaf9fd44-a19

## 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

- Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale

- 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 6 years of experience programming with Python, Java, Golang, or C++

- At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries

- At least 6 years of experience using and operating large scale distributed systems to prepare AI/ML data

- At least 4 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

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

- 5+ years of experience following software development best practices

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

- 5+ years of experience working with Machine Learning techniques, model types, model Architectures, training concepts, and how to evaluate model accuracy

- 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models

- ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

- Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences

**Salary Information:**

- Chicago, IL: $209,000 - $238,500 for Machine Learning Engineer 5

**Benefits:**

- 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
- Resilient software solutions
- Machine Learning techniques
- Model Architectures
- Data pipelines

---

Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Chicago-IL/Machine-Learning-Engineer-5--Senior-Manager--IC-_R1001279-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)