Sr. Staff Machine Learning Engineer

Capital One; McLean (VA); On-site; USD 315,000 - 359,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer to provide technical leadership across production ML systems at scale in McLean, VA. You will guide architectural design decisions, review model and application code, and mentor engineers while delivering ML models and software components with cross-functional teams including Product, Architecture, Engineering, and Data Science.

Required skills include Python, Scala, and C/C++, plus experience with distributed computing and end-to-end ML

Qualifications

• Bachelor’s degree in a related field.
• At least 10 years of experience designing and building data-intensive solutions.
• At least 7 years of experience programming in C, C++, Python, or Scala.
• At least 4 years of experience with the full ML development lifecycle in a business-critical setting.

Responsibilities

• 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 optimized ML models at scale
• Optimize data pipelines to feed ML models
• Use programming languages like Python, Scala, C/C++
• Leverage compute technologies such as Dask and RAPIDS
• Evangelize best practices in all aspects of the engineering and modeling lifecycles
• Help recruit, nurture, and retain top engineering talent

Skills

Python

Scala

C/C++

Distributed computing

ML lifecycle

Leadership

Education

Bachelor's degree

Master's degree

Tools

Dask

RAPIDS

NumPy

Pandas

Scikit-learn

Job description

Overview:

As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams 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 serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring 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. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.

What you’ll do in the role:

• 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 optimized ML models at scale
• Optimize data pipelines to feed ML models
• Use programming languages like Python, Scala, C/C++
• Leverage compute technologies such as Dask and RAPIDS
• Evangelize best practices in all aspects of the engineering and modeling lifecycles
• Help recruit, nurture, and retain top engineering talent

Basic Qualifications:

• Bachelor’s degree
• At least 10 years of experience designing and building data-intensive solutions using distributed computing
• At least 7 years of experience programming in C, C++, Python, or Scala
• At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting

Preferred Qualifications:

• Master's Degree
• 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models
• 3+ years of experience using Dask, RAPIDS, or in High Performance Computing
• 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)
• Ability to communicate complex technical concepts clearly to a variety of audiences
• ML industry impact through conference presentations, papers, blog posts, or open source contributions
• Ability to attract and develop high-performing software engineers with an inspiring leadership style

Salary:

• McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer
• Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer

Incentives:

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.

Benefits:

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

Employment Information:

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

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

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).

Company Culture:

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit.