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Machine Learning Engineers are needed at Capital One in Elkton. Apply now! Locations: Richmond, Virginia; Richmond, United States of America Engineer Distinguished Machine Learning � Remote Eligible Engineer Distinguished Machine Learning (Director-level) At Capital One, we think that machine learning is the biggest opportunity in the financial services sector right now and has the potential to completely transform the sector. The CEO, the Board of Directors, and the executive committee of the corporation support Capital One's commitment to machine learning. The Center for Machine Learning is at the centre of this endeavour and is paving the way for the development of ethical and significant ML-based tools, platforms, and solutions. You will be giving technical leadership to engineering teams working to scale up the production of machine learning systems and applications as a Capital One Machine Learning Engineer. Utilizing both established and cutting-edge technological platforms, you will take part in the technical design, development, and implementation of machine learning applications. As a machine learning technical domain specialist, you'll advise on architectural design choices, write and review model and application code, and guarantee our machine learning applications run efficiently and with high availability. You'll have the chance to continuously learn about and put the most recent advancements and top techniques in machine learning engineering to use. To maintain Capital One at the forefront of technology, you'll mentor other engineers and advance your technical expertise. How you'll do the role:
� Work with the Product, Architecture, Engineering, and Data Science teams to deliver ML models and software components that address complex business problems in the financial services sector.
� Encourage the development of ML software and models that support cutting-edge intelligent systems.
� Take the ML leadership reins while keeping the client in mind.
� Use cloud-based technologies and architectures to deliver ML models that are optimised at scale.
� ML model feed pipelines should be optimised.
� Use coding languages such as Python, Scala, and C/C.
� Make use of computing tools like Dask and RAPIDS
� Spread the word about best practises for the engineering and modelling lifecycles.
� Assist in finding, developing, and keeping top engineering talent. Qualifications requisite
� Bachelor's diploma.
� At least ten years of experience with distributed computing to create and design data-intensive solutions.
� At least six years of expertise in C, C, Python, or Scala programming.
� At least three years of expertise using cutting-edge technology throughout the whole ML development lifecycle in a workplace where efficiency is crucial.
� Experience with Dask, RAPIDS, or high performance computing for at least two years.
� Experience with the PyData ecosystem of at least two years (NumPy, Pandas, and Scikit-learn) Preferred Requirements
� A master's or doctoral degree in mathematics, electrical engineering, computer science, or a related subject.
� 3+ nlp coach jobs of expertise developing, executing, and expanding data pipelines that are ready for production and feed machine learning models.
� Eight or more years of experience working in a big, data-intensive, multi-line business setting

� Proven track record of collaborating with peers in technology who are in charge of distributed computing platforms and data architecture.
� The capacity to express intricate technical ideas simply to a range of audiences.
� The influence of the ML sector through conference presentations, publications, blog entries, or contributions to open source.
� Capacity to draw in and nurture highly effective software developers with motivating leadership. Capital One won't right now support a fresh application for this position's employment authorization. Below, by location, are the full-time yearly minimum and maximum pay for this position. Please be aware that this salary information only applies to applicants hired to work at one of these locations and that it reflects the wage level Capital One is prepared to offer at the time of this posting. Pay for part-time positions will be prorated according to the agreed-upon number of regular working hours. $260,592 and $307,440 for Distinguished Machine Learning Engineer in New York City Colorado location; salaries for Distinguished Machine Learning Engineer range between $220,854 and $260,558. Candidates hired to work in different locations will be subject to the pay range specific to that positions, and the actual annualised salary amount offered to any candidate at the time of hire will only be represented in the offer letter made to that candidate. Agency-free please. Capital One is dedicated to diversity and inclusion in the workplace and is an Equal Opportunity Employer. Without regard to sex, race, colour, 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, state, local, or local law, all qualified applicants will be given consideration for employment. A drug-free workplace is promoted by Capital One. The requirements of applicable laws regarding criminal background checks will be followed by Capital One when considering qualified applicants with a criminal history for employment. These laws include, to the extent applicable, Article 23-A of the New York Correction Law, Article 49, Sections of the San Francisco Police Code, the Fair Chance Act of New York City, the Fair Criminal Records Screening Act of Philadelphia, and other applicable federal, state, and local laws. Please get in touch with Capital One Recruiting at 1- or by email at if you need accommodations after visiting our website to learn more about job openings or to apply for a position. Your information will be kept private and used solely to the degree necessary to make the necessary reasonable adjustments. Please send an email to for technical support or inquiries about Capital One's hiring procedure. Capital One disclaims all responsibility and endorsement for any third-party goods, services, information, or resources made accessible through this website. Several distinct businesses make up Capital One Financial. Please be aware that any positions posted in Canada, the United Kingdom, or the Philippines are for Capital One Philippines Service Corp., not Capital One Canada, Capital One Europe, or Capital One Canada, respectively (COPSSC). Register Here

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