Staff Machine Learning Engineer

Capital One National Association; Plano (TX); On-site; USD 245,000 - 307,000; Full time

Job summary

Capital One is seeking a Staff Machine Learning Engineer to drive AI transformations and scale production ML models. You will collaborate with product, architecture, engineering, and data science teams to deliver end-to-end ML solutions in a fast-paced environment.

The role requires extensive experience in Python, Java or Golang, PyTorch or TensorFlow, and large-scale distributed systems. SQL, data pipelines, and cloud platforms are essential for success at Capital One.

Qualifications

• Bachelor's degree in CS, ML or related quantitative field.
• 8+ years programming in Python, Java, Golang or C++.
• 6+ years ML experience with PyTorch or TensorFlow and libraries.
• 6+ years distributed systems like Spark or Ray.
• 5+ years deploying ML in production on AWS/GCP/Azure with Kubernetes.

Responsibilities

• Deliver ML models and software components for financial services problems.
• Lead large-scale ML initiatives with customer impact.
• Develop scalable ML models with cloud architectures.
• Optimize data pipelines feeding ML models.
• Advocate best engineering and modeling practices and mentor engineers.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Spark

Ray

Kubernetes

Dask

Education

Bachelor's degree in CS/ML or related

Master/Doctoral preferred in CS/EE/Math

Tools

Pandas

NumPy

Scikit-learn

RAPIDS

AWS

GCP

Azure

Docker

Job description

Staff Machine Learning Engineer

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:

• Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
• Drive the creation and evolution of ML models and software that enable state-of-the‑art intelligent systems
• Lead large‑scale ML initiatives with the customer in mind
• Leverage cloud‑based architectures and technologies to deliver optimised ML models at scale
• Optimize data pipelines to feed ML models
• Use programming languages like Python, Scala, Java, and GoLang
• Leverage compute technologies such as Dask and RAPIDS
• Evangelise best practices in all aspects of the engineering and modelling lifecycles
• Help recruit, nurture, and retain top engineering talent

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 8 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 (Pandas, NumPy, Scikit‑learn)
• At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data
• At least 5 years 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 containerised Machine Learning software systems

Preferred Qualifications:

• Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field
• 3+ years of experience architecting and designing resilient, large‑scale, production machine learning systems from data preparation, to model training, and inference.
• 5+ years of experience optimising ML algorithms, configurations, and infrastructure
• 5+ 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, regularisation), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)
• 7+ years of experience designing, implementing, and scaling production‑ready data pipelines for training and evaluating ML models.
• Ability to communicate complex technical concepts clearly to a variety of audiences
• Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents
• Experience developing high‑performing ML engineers with an inspiring leadership style

Capital One will consider sponsoring a new qualified applicant for employment authorisation for this position.

McLean, VA: $269,100 - $307,200 for Staff Machine Learning EngineerPlano, TX: $244,700 - $279,200 for Staff Machine Learning Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualised salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days. No agencies please.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [e-mail]

Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).