Distinguished Machine Learning Engineer- Applied Research (Remote- Eligible)
Distinguished Machine Learning Engineer- Applied Research
At Capital One, we believe that machine learning represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to machine learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Center for Machine Learning is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML.
As a Capital One Machine Learning Applied Researcher, you'll be providing technical leadership to research engineering teams dedicated to building the next generation of machine learning capabilities for the company. You'll participate in the entire end-to-end process of technology innovation from experimentation & partnership with university researchers through to deployment of services on production 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.
Build enterprise grade software that makes it easy for teams to utilize the latest ML technologies
Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems.
Work with Data Scientists to test ideas and capabilities on real-world problems
Work closely with faculty members at several leading universities to conduct foundational ML research
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, or Java.
Evangelize best practices in all aspects of the engineering and modeling lifecycles.
Capital One is open to hiring a Remote Employee for this opportunity
At least 10 years of experience designing and building data-intensive solutions using distributed computing.
At least 6 years of experience programming in C, C++, Python, or Scala.
At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting.
At least 2 years of experience using Dask, RAPIDS, or in High Performance Computing
At least 2 years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
3+ years experience in an R&D setting with a focus on building novel ML capabilities
8+ years of experience within a large/data-intensive multi-line business environment.
Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure/platforms.
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.
At this time, Capital One will not sponsor a new 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.Location is New York City: $260,592 - $307,440 for Distinguished Machine Learning EngineerLocation is San Francisco, California: $276,034 - $325,658 for Distinguished Machine Learning EngineerRemote roles in other areas of New York & California, and across Colorado & Washington: $220,854 - $260,558 for Distinguished 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 Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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.
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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).