Senior Lead Machine Learning Engineer Job at Capital One, Richmond, VA

U2RrS292Y0hkZVpOQU01dU9ETy9GUktNYnc9PQ==
  • Capital One
  • Richmond, VA

Job Description

Senior Lead Machine Learning Engineer at Capital One summary:

As a Senior Lead Machine Learning Engineer at Capital One, you will design and implement machine learning applications scaled for production, focusing on architectural design and model validations. You’ll work in an Agile team, collaborating with cross-functional experts to deliver optimized ML systems, ensuring robust performance while adhering to best practices in Responsible and Explainable AI. Additionally, you will leverage cloud-based platforms and manage data pipelines to enhance customer experience through advanced analytics and machine learning solutions.

Senior Lead Machine Learning Engineer

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 

What you’ll do in the role: 

  • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:

  • 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.  

About the Team

In the Enterprise Data Tech Organization customer experience is at the forefront of what we do. This team builds functional, always on scalable data ecosystems working alongside some of the savviest Data techies in the industry, enabling products and solutions to enhance customer experience and drive up satisfaction levels. In addition, the team manages/builds data solutions, solving customer reported problems, identifying and solving production issues, and implementing integrated solutions that meet our customers’ needs.

Basic Qualifications:

  • Bachelor’s degree 

  • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)

  • At least 4 years of experience programming with Python, Scala, or Java 

  • At least 3 years of experience building, scaling, and optimizing ML systems

  • At least 2 years of experience leading teams developing ML solutions 

Preferred Qualifications:

  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field

  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 

  • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 

  • 3+ years of experience developing performant, resilient, and maintainable code

  • 3+ years of experience with data gathering and preparation for ML models

  • 3+ years of people management experience 

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

  • 3+ years of experience building production-ready data pipelines that feed ML models 

  • Ability to communicate complex technical concepts clearly to a variety of audiences 

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



 

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: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer



 

Richmond, VA: $204,900 - $233,800 for Sr. Lead Machine Learning Engineer



 



 



 



 



 



 



 



 



 

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized 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 

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 ; 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 or via email at . 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

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).

Keywords:

Machine Learning, Artificial Intelligence, Data Engineering, Cloud Computing, Python, Agile Development, Model Validation, Big Data, Data Pipelines, Continuous Integration

Job Tags

Full time, Part time, Local area,

Similar Jobs

GreenLite

Project Manager, Permit Operations Job at GreenLite

 ...The Role GreenLite is seeking a Project Manager, Permit Operations to join our GLX Operations and Regulatory Team, and work closely with...  ...licensing & regulatory requirements. Communicating with local governments to confirm research findings and gather additional... 

Freight Breakers LLC

Material Handler(High Reach Forklift)/Yard Jockey Job at Freight Breakers LLC

 ...To perform this job successfully, the candidate shall maintain a high level of accuracy and attention to detail during the validation...  ...Ability to use the provided equipment to complete the task (stand up reach truck, RF scanner). Processes incoming and outgoing shipments... 

BysoftChina

Magento Developer (PHP) Job at BysoftChina

 ...buy, etc.) to digital marketing (SEO, SEM) and daily operations.Developed from a wealth of e-commerce success stories over the years, our...  ...managers are PHP / Java certified.BysoftChina is the largest Magento Gold Partner in China with over 100 e-commerce projects.Magento... 

Dunham's Sports

Full Stack Engineer Job at Dunham's Sports

 ...Dunham Sports is seeking a skilled and dynamic Full Stack Developer to join our growing digital team. The ideal candidate is proficient...  ...with a focus on Shopware and other open-source CMS platforms like Magento and WordPress. Apply expertise in PHP, Symfony, and AJAX to... 

System Freight Inc

CDL A Local Truck Driver Job at System Freight Inc

Job Description S ystem Freight Inc. Is Hiring Local Class A CDL Drivers For Our Red Lion, PA Location! Earn Up To $78,000 Annually - $4,000 Sign On Bonus Must Have A Valid Class A CDL & 3 Years Of Verifiable Commercial Driving Experience System Freight...