Sr. Distinguished Machine Learning Engineer

Capital One; Plano (TX); On-site; USD 286,200 - 326,700; Full time

Benefits offered by this job

Comprehensive health benefits

Financial benefits

Incentive compensation

Job summary

Capital One is hiring a Machine Learning Engineer in Plano, Texas, to provide technical leadership for productionizing ML applications and systems. The role involves the design and implementation of advanced machine learning applications, mentoring engineers, and optimizing data pipelines. A Bachelor's degree and significant experience in distributed computing and programming in languages like C++, Python, and Scala are required. Competitive annual salaries range from $286,200 to $326,700, along with a full benefits package.

Qualifications

• 10 years of experience designing and building data-intensive solutions.
• 7 years of experience programming in C, C++, Python, or Scala.
• 4 years of experience with the full ML development lifecycle.

Responsibilities

• Deliver ML models and software components to solve business problems.
• Drive evolution of ML models and software.
• Lead large-scale ML initiatives.

Skills

Distributed computing solutions

C/C++ programming

Python programming

Scala programming

Dask

RAPIDS

PyData ecosystem (NumPy, Pandas, Scikit-learn)

Education

Bachelor’s degree

Master's Degree

Tools

Cloud technologies

Data pipelines

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

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. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer; Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer. Candidates hired to work in other locations will be subject to the pay range for that location, and the actual annualized salary amount offered will be reflected in the 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).

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. 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 laws. Capital One promotes a drug-free workplace. For accommodations, contact Capital One Recruiting at 1-800-304-9102 or [e-mail]. All information provided will be kept confidential as required to provide needed reasonable accommodations.

Capital One does not provide, endorse nor guarantee third-party products or services and is not liable for information available through this site. Capital One Financial is made up of several entities; postings may refer to Capital One Canada, Capital One Europe, or Capital One Philippines Service Corp. (COPSSC) depending on location.