Machine Learning Engineer 3

Capital One; McLean (VA); On-site; USD 162,000 - 184,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer to design, build, and deploy ML models solving real business problems. You will collaborate with Product and Data Science teams to select features, train models, and ensure reliable production performance.

You will work in an Agile environment, building data pipelines, retraining models, and applying CI/CD and monitoring practices to ensure robust, scalable ML solutions in the cloud.

Qualifications

• Bachelor's Degree or higher in Computer Science, Machine Learning or related quantitative field.
• 3+ years programming experience in Python, Java, Golang, or C++.
• 2+ years ML experience with PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn).
• 3+ years operating large-scale distributed systems (Spark, Ray) for AI/ML data.
• 1+ year deploying ML solutions in production and cloud (AWS, GCP, Azure) using Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infrastructure decisions: model choice, data, feature selection, training, tuning, validation.
• Develop, test, and deploy ML models and application code; automate tests and deployment.
• Collaborate in an Agile team to enable big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage cloud architectures to deliver ML models at scale.
• Create optimized data pipelines to feed ML models.
• Apply CI/CD, test automation, and monitoring for ML deployments.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

AWS

GCP

Azure

Education

Bachelor's Degree or higher in Computer Science or related quantitative field

Tools

PyTorch

TensorFlow

SAS / Spark

Job description

Machine Learning Engineer 3

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. 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.

What You'll Do:

• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
• 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, to ensure successful deployment of ML models and application code
• 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 (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 3 years of experience programming with Python, Java, Golang, or C++
• At least 2 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
• At least 3 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
• At least 1 year of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems

Preferred Qualifications:

• Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field
• 1+ years of experience optimizing ML algorithms, configurations, and infrastructure
• 1+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc.
• 1+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans
• 1+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)
• Authored/co-authored a paper on a ML technique, model, or proof of concept
• 1+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

• McLean, VA: $161,800 - $184