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<h3>Job Description</h3>
Senior Manager, Machine Learning Engineering
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.&nbsp;
This team is responsible for building, operationalizing, monitoring, and maintaining the machine learning models that power our credit card recoveries division. In this role you will manage a small team of machine learning engineers focusing on ML operations and partner with data science teams to enable critical business decisions. We leverage tools like Python, PySpark, AWS, Kubernetes (Kubeflow), XG Boost, and scikit-learn.
What you’ll do in the role:&nbsp;
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:
<ul>
<li>
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.&nbsp;
</li>
<li>
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).
</li>
<li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.&nbsp;
</li>
<li>
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.&nbsp;
</li>
<li>
Retrain, maintain, and monitor models in production.
</li>
<li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
</li>
<li>
Construct optimized data pipelines to feed ML models.&nbsp;
</li>
<li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.&nbsp;
</li>
<li>
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.&nbsp;
</li>
<li>
Use programming languages like Python, Scala, or Java.&nbsp;
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor’s degree&nbsp;
</li>
<li>
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
</li>
<li>
At least 4 years of experience programming with Python, Scala, or Java
</li>
<li>
At least 3 years of experience building, scaling, and optimizing ML systems
</li>
<li>
At least 2 years of experience leading teams developing ML solutions
</li>
<li>
At least 4 years of people management experience.&nbsp;
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field&nbsp;
</li>
<li>
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow&nbsp;
</li>
<li>
3+ years of experience developing performant, resilient, and maintainable code
</li>
<li>
3+ years of experience with data gathering and preparation for ML models
</li>
<li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform&nbsp;
</li>
<li>
3+ years of experience building production-ready data pipelines that feed ML models
</li>
<li>
Ability to communicate complex technical concepts clearly to a variety of audiences
</li>
<li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents&nbsp;
</li>
</ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.&nbsp;
 &nbsp;
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. Mgr, Machine Learning Engineering
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;Capital One Careers website. 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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Senior Manager, Machine Learning Engineering

<h3>Job Description</h3>
Senior Manager Software Engineer, Full Stack (ESM Technology)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.&nbsp; We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Sr. Manager Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.&nbsp;
What You’ll Do:&nbsp;
<ul>
<li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that&nbsp; help meet regulatory needs for the company
</li>
<li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
</li>
<li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
</li>
<li>
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services&nbsp;
</li>
</ul>
Basic Qualifications:&nbsp;
<ul>
<li>
Bachelor’s Degree
</li>
<li>
At least 6 years of experience in software engineering (Internship experience does not apply)
</li>
<li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
</li>
<li>
At least 4 years of people management experience
</li>
</ul>
Preferred Qualifications:&nbsp;
<ul>
<li>
Master’s Degree
</li>
<li>
9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
</li>
<li>
3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
</li>
<li>
4+ years of experience in open source frameworks
</li>
<li>
7+ years of people management experience
</li>
<li>
2+ years of experience in Agile practices
</li>
</ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.&nbsp;
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. Mgr, Software Engineering
 &nbsp;
Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;Capital One Careers website. 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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Senior Manager Software Engineer, Full Stack (ESM Technology)

<h3>Job Description</h3>
Audit Manager - Global Payment Network
Capital One’s Audit function is a dedicated group of professionals focused on delivering top-quality assurance services to the organization’s Audit Committee. Audit professionals are experienced, well-trained and credentialed, and operate within a collaborative, agile environment to deliver value-added opinions and recommendations. Audit’s vision to provide high value, independent, proactive insights, to innovate with technology, and to be a top-notch talent destination, creates a dynamic and challenging atmosphere for both personal growth and professional opportunity. Inspired by our colleagues, we are risk identifiers, challengers, influencers, and transformational leaders who drive impactful work for the enterprise.
Capital One is seeking an energetic, self-motivated Audit Manager interested in becoming part of our Audit team, with a specific focus on the global payments network, all associated platforms, technologies, and related operations such as(e.g., credit/debit processing, authorization, clearing &amp; settlement (covering domestic and international transactions) and digital payments. We are seeking a candidate that has demonstrated knowledge of payments network operations and ecosystem related risks, as well as risk management and regulatory expectations for a large financial institution. 
Responsibilities include:
<ul>
<li>
Plan, perform, and lead large/complex audits at the enterprise level as well as other diverse lines of business and specialty areas.
</li>
<li>
Perform risk assessments of business activities, potential exposures and materiality of loss.
</li>
<li>
Design and perform audit procedures, including identifying and defining issues, reviewing and analyzing evidence, and documenting processes.
</li>
<li>
Leverage available data and analytical tools during the planning, fieldwork, and reporting phases of audit delivery.
</li>
<li>
Effectively review and compile relevant, material findings and recommendations into readable and concise audit reports.&nbsp;
</li>
<li>
Communicate the results of audit projects to management via written reports and compelling oral presentations.&nbsp;
</li>
<li>
Provide significant input into the development of the annual audit plan.&nbsp;
</li>
<li>
Design and execute internal control testing for standardized operations of moderate complexity with more than one component, including finance, IT, compliance, credit, security.
</li>
<li>
Provide risk management advice and counsel to business leadership on best practices.
</li>
<li>
Establish and maintain good working relationships with line management and auditees during engagements.&nbsp;
</li>
<li>
Manage audit work and project resources during audit engagements, providing feedback on work performed to junior auditors, as appropriate.
</li>
</ul>
Here’s what we’re looking for in an ideal teammate:
<ul>
<li>
You adapt to change, embrace bold ideas, and are intellectually curious. You like to ask questions, test assumptions, and challenge conventional thinking.
</li>
<li>
You develop influential relationships based upon shared risk objectives and trust to deliver outstanding business impact and elevate Audit’s value proposition.
</li>
<li>
You’re a firm believer that a rich understanding of data, innovation, and technology will only make you a better auditor. This will require leveraging the power of data analytics and furthering your technical expertise.
</li>
<li>
You’re a teacher. You do the right thing and lead by example. You have a passion for coaching and investing in the betterment of your team. You lead through change with candor and optimism.
</li>
<li>
You create energy and an environment that fosters trust, collaboration, and belonging, making it easy to attract, hire, and retain top talent.
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor’s Degree or military experience
</li>
<li>
At least 5 years of experience in internal or external auditing, accounting, financial analysis, information systems, compliance, risk management or a combination within the banking or financial services industry
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Bachelor’s Degree in Information Systems, Accounting, Finance, Economics, or Business Administration
</li>
<li>
3+ years of experience leading audits and performing the auditor-in-charge role
</li>
<li>
2+ years of experience with payment technologies such as HPE Nonstop, IBM Mainframe, Mobile Payments, Tokenized services, cloud-based and virtualized environments, Windows and Linux operating environments
</li>
<li>
2+ years of experience in the payments network industry including the MANIC (Merchant-Acquirer-Network-Issuer-Customer) model, network participant roles (issuers, acquirers, merchants), PCI standards, and international payment regulations
</li>
<li>
2+ years of experience at a leading public accounting or consulting firm, working in a highly regulated environment related to payment network and related technology services, leading people in cross-cultural/international teams or related experience
</li>
<li>
Professional certification such as Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP),&nbsp; Certified Information Security Manager (CISM), Certified Public Accountant (CPA) or Certified Internal Auditor (CIA)
</li>
</ul>
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
This role is hybrid meaning associates will spend 3 days per week in-person at one of our offices listed on this job posting. Fridays are enterprise- wide virtual work days. Monday, Tuesday, Wednesday and Thursday are in-person days for associates to spend time together working in our beautifully-designed team areas.&nbsp;
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.
Charlotte, NC: $144,000 - $164,400 for Manager, Cyber Risk &amp; Analysis
 &nbsp;
Chicago, IL: $144,000 - $164,400 for Manager, Cyber Risk &amp; Analysis
 &nbsp;
McLean, VA: $158,400 - $180,800 for Manager, Cyber Risk &amp; Analysis
 &nbsp;
New York, NY: $172,800 - $197,200 for Manager, Cyber Risk &amp; Analysis
 &nbsp;
Plano, TX: $144,000 - $164,400 for Manager, Cyber Risk &amp; Analysis
 &nbsp;
Richmond, VA: $144,000 - $164,400 for Manager, Cyber Risk &amp; Analysis
 &nbsp;
Riverwoods, IL: $144,000 - $164,400 for Manager, Cyber Risk &amp; Analysis
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;Capital One Careers website. 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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Audit Manager - Global Payment Network

<h3>Job Description</h3>
Senior Data Engineer (Python, Spark, Databricks, AWS)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.&nbsp; We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.&nbsp;
What You’ll Do:
<ul>
<li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
</li>
<li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
</li>
<li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
</li>
<li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community
</li>
<li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
</li>
<li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
</li>
</ul>
Basic Qualifications:&nbsp;
<ul>
<li>
Bachelor’s Degree&nbsp;
</li>
<li>
At least 3 years of experience in application development (Internship experience does not apply)
</li>
<li>
At least 1 year of experience in big data technologies&nbsp;
</li>
</ul>
Preferred Qualifications:&nbsp;
<ul>
<li>
5+ years of experience in application development including Python, SQL, Scala, or Java
</li>
<li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
</li>
<li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
</li>
<li>
2+ year experience working on real-time data and streaming applications&nbsp;
</li>
<li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)&nbsp;
</li>
<li>
2+ years of data warehousing experience (Redshift or Snowflake)&nbsp;
</li>
<li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting
</li>
<li>
2+ years of experience with Agile engineering practices.
</li>
<li>
1+ years of experience in Lakehouse, Iceberg or Delta lake.
</li>
</ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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: $158,600 - $181,000 for Senior Data Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;Capital One Careers website. 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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Senior Data Engineer (Python, Spark, Databricks, AWS)

<h3>Job Description</h3>
Senior Lead Software Engineer, Back End
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.&nbsp; We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You’ll Do:&nbsp;
<ul>
<li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that&nbsp; help meet regulatory needs for the company
</li>
<li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
</li>
<li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
</li>
<li>
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services&nbsp;
</li>
</ul>
Basic Qualifications:&nbsp;
<ul>
<li>
Bachelor’s Degree
</li>
<li>
At least 6 years of professional software engineering experience (Internship experience does not apply)
</li>
<li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
</li>
</ul>
Preferred Qualifications:&nbsp;
<ul>
<li>
Master’s Degree
</li>
<li>
9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
</li>
<li>
3+ years of experience with AWS, GCP, Azure, or another cloud service
</li>
<li>
4+ years of experience in open source frameworks
</li>
<li>
1+ years of people management experience
</li>
<li>
2+ years of experience in Agile practices
</li>
</ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
 &nbsp;
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.
New York, NY: $245,900 - $280,600 for Sr. Lead Software Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;Capital One Careers website. 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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Senior Lead Software Engineer, Back End

<h3>Job Description</h3>
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.&nbsp;
What you’ll do in the role:&nbsp;
<ul>
<li>
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:
</li>
<li>
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.&nbsp;
</li>
<li>
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).
</li>
<li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.&nbsp;
</li>
<li>
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.&nbsp;
</li>
<li>
Retrain, maintain, and monitor models in production.
</li>
<li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
</li>
<li>
Construct optimized data pipelines to feed ML models.&nbsp;
</li>
<li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.&nbsp;
</li>
<li>
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.&nbsp;
</li>
<li>
Use programming languages like Python, Scala, or Java.&nbsp;
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor’s degree&nbsp;
</li>
<li>
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
</li>
<li>
At least 4 years of experience programming with Python, Scala, or Java&nbsp;
</li>
<li>
At least 3 years of experience building, scaling, and optimizing ML systems
</li>
<li>
At least 2 years of experience leading teams developing ML solutions&nbsp;
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
</li>
<li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform&nbsp;
</li>
<li>
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow&nbsp;
</li>
<li>
3+ years of experience developing performant, resilient, and maintainable code
</li>
<li>
3+ years of experience with data gathering and preparation for ML models
</li>
<li>
3+ years of people management experience&nbsp;
</li>
<li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
</li>
<li>
3+ years of experience building production-ready data pipelines that feed ML models&nbsp;
</li>
<li>
Ability to communicate complex technical concepts clearly to a variety of audiences&nbsp;
</li>
</ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.&nbsp;
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
 &nbsp;
New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;Capital One Careers website. 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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Senior Lead Machine Learning Engineer

<h3>Job Description</h3>
FM is a leading property insurer of the world's largest businesses providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.
This US-based remote opportunity will require periodic travel to our corporate headquarters in Johnston, RI, which is part of the greater Providence area.
With a large college-age population, Providence offers a vibrant arts and entertainment scene that includes local theatre and music, collegiate and minor league sporting events, and excellent restaurants, and we’re not that far from the breathtaking RI beaches!
Schedule
<ul>
<li>Must be able to work full time 37.5 hours a week for 6 months.</li>
</ul>
<ul>
<li>Hours: 9am to 5pm EST Monday- Friday</li>
</ul>
 
FM is hiring a Cyber Co-Op to join our team for the Spring 2026 school term, full-time for 6 months January – June!
This is a great opportunity&nbsp;for students that are motivated to apply their classroom experience, professional attitude, and personal ambition. You will get firsthand experience while earning college credits and getting paid!&nbsp;&nbsp;&nbsp;
As a Cyber co-op, you will be a member of the Cyber Threat Services Teams.&nbsp;The teams&nbsp;are responsible for&nbsp;detecting cyber security threats&nbsp;impacting&nbsp;FM Global and responding to those events. This opportunity will expose you to the latest enterprise security tools, working in a multifaceted environment with an encouraging team of professionals.&nbsp;
 Qualifications
Must be enrolled as a full-time student studying Computer Science, Cyber Security, Information Technology, MIS or related degree program degree during the Spring 2026 Semester to be considered.&nbsp;&nbsp;&nbsp;
Technical Skills&nbsp;&nbsp;
<ul>
<li>Strong team&nbsp;players who can work independently when needed and have a solid understanding of basic concepts in at least one technology subject area (i.e.: Security Monitoring, Offensive Security, Networking, Systems Administration)&nbsp;</li>
</ul>
Soft Skills&nbsp;&nbsp;
<ul>
<li>Have strong written, verbal, and interpersonal communication skills&nbsp;</li>
<li>Able to generate creative ideas to tackle problems and improve work methods&nbsp;&nbsp;</li>
<li>Desire and willingness to learn&nbsp;new technologies&nbsp;&nbsp;</li>
</ul>
The hiring range for this position is $24.00 to $33.00 per hour. The final salary offer will vary based on geographic location, individual education, skills, and experience.
FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

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