Systems Integration Engineer Salary in New Haven, CT

Locations: NY - New York, United States of America, New York, New YorkSenior Machine Learning EngineerSenior Machine Learning EngineerAs 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.What you'll do in the role: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: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.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).Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.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.Retrain, maintain, and monitor models in production.Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.Construct optimized data pipelines to feed ML models.Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.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.Use programming languages like Python, Scala, or Java.Basic Qualifications:Bachelor's degree.At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)At least 3 years of experience designing and building data-intensive solutions using distributed computingAt least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)At least 1 year of experience productionizing, monitoring, and maintaining modelsPreferred Qualifications:1+ years of experience building, scaling, and optimizing ML systems1+ years of experience with data gathering and preparation for ML models2+ years of experience developing performant, resilient, and maintainable codeExperience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud PlatformMaster's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field3+ years of experience with distributed file systems or multi-node database paradigmsContributed to open source ML softwareAuthored/co-authored a paper on a ML technique, model, or proof of concept3+ years of experience building production-ready data pipelines that feed ML modelsExperience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performanceAt 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.New York City (Hybrid On-Site): $161,900 - $184,800 for Senior Machine Learning EngineerCandidates 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.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.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 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 [email protected]. 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 [email protected] 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).

West Creek 4 (12074), United States of America, Richmond, VirginiaSenior Platform Engineer, WorkdayDo you love building and pioneering in the technology space? Do you enjoy solving complex technical 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.We are seeking Platform Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that's leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One's Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions.General Responsibilities:Work with product owners to understand desired application capabilities and testing scenariosUnderstand and translate the priorities of the business while integrating HR value proposition and strategies to meet the needs of the businessDeliver solutions in Workday across HCM, Recruiting, Compensation, Payroll and Benefits through efficient and organized processes while maintaining high standardsEffectively communicate across team, Product Owner, stakeholders and influence solutions across business partnersIdentify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results.Continually research, test and stay up-to-date on Workday updates, fixes and capabilitiesBuild & maintain thorough documentation for system implementationPrimary contact for questions related to how the system works from a business and a technical perspectiveProvide production support for Workday by troubleshooting problems, testing, and working with the business to resolve issuesBasic Qualifications:High School Diploma, GED, or equivalent certificationAt least 4 years experience in platform engineering on HR platforms (Workday, Peoplesoft, or Successfactors)At least 2 years of experience designing and developing integration solutionsAt least 2 years of experience working with APIs within the Workday environment using REST or SOAPPreferred Qualifications:Bachelor's Degree5+ years of experience working with Workday Human Resources modules including HCM, Payroll, Benefits, Recruiting or Talent and Performance Management3+ years of experience designing and developing integration solutions in Workday using Core Connectors, Workday Studio, Custom Reports or RaaS solutions3+ years of experience working with APIs within the Workday environment using REST or SOAPWorkday Integration Developer certifications1+ years designing and developing solutions using Workday Extend1+ years of experience with AWS, GCP, Microsoft Azure or another cloud service2+ years of experience in Agile practicesAt 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.New York City (Hybrid On-Site): $134,100 - $153,000 for Senior Platform EngineerSan Francisco, California (Hybrid On-Site): $142,100 - $162,100 for Senior Platform EngineerCandidates 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.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 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 [email protected]. 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 [email protected] 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).

11 West 19th Street (22008), United States of America, New York, New YorkSenior Manager, Machine Learning EngineeringAs 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. The Apollo team at Capital One is envisioned to provide a 360 degree view of every business in the US powered by state-of-the-art entity resolution capabilities. Entity resolution refers to the ability to resolve/attribute different pieces of information gathered to a particular entity, with high degree of accuracy. Apollo organization is a lean, purpose driven group that's growing rapidly and looking for strong engineering talent. Within the Apollo space, there are opportunities across teams for hands-on engineering leaders to take ownership of ML operation systems, Feature Engineering, and Model development in collaboration with data scientists which power the customer experiences across Apollo's product offerings.What you'll do in the role: 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: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.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).Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.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.Retrain, maintain, and monitor models in production.Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.Construct optimized data pipelines to feed ML models.Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.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.Use programming languages like Python, Scala, or Java.Basic Qualifications:Bachelor's degreeAt least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)At least 4 years of experience programming with Python, Scala, or JavaAt least 3 years of experience building, scaling, and optimizing ML systemsAt least 2 years of experience leading teams developing ML solutionsAt least 4 years of people management experience.Preferred Qualifications:Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow3+ years of experience developing performant, resilient, and maintainable code3+ years of experience with data gathering and preparation for ML modelsExperience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform3+ years of experience building production-ready data pipelines that feed ML modelsAbility to communicate complex technical concepts clearly to a variety of audiencesML industry impact through conference presentations, papers, blog posts, open source contributions, or patentsCapital 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. 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 City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning EngineeringCandidates 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.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 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 [email protected]. 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 [email protected] 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).

Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning EngineerAs 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.What you'll do in the role: 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: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.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).Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.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.Retrain, maintain, and monitor models in production.Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.Construct optimized data pipelines to feed ML models.Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.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.Use programming languages like Python, Scala, or Java.Basic Qualifications:Bachelor's degreeAt least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply)At least 3 years of experience designing and building data-intensive solutions using distributed computingAt least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)At least 1 year of experience productionizing, monitoring, and maintaining modelsPreferred Qualifications:1+ years of experience with Spark and Kubeflow or other pipeline orchestration technologies1+ years of experience building, scaling, and optimizing ML systems1+ years of experience with data gathering and preparation for ML models2+ years of experience developing performant, resilient, and maintainable codeExperience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud PlatformMaster's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field3+ years of experience with distributed file systems or multi-node database paradigmsContributed to open source ML softwareAuthored/co-authored a paper on a ML technique, model, or proof of concept3+ years of experience building production-ready data pipelines that feed ML modelsExperience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performanceAt 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.New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerCandidates 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.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 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 [email protected]. 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 [email protected] 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).

114 5th Ave (22114), United States of America, New York, New YorkLead Platform EngineerCapital One, a Fortune 500 company and one of the nation's top 10 banks, offers a broad spectrum of financial products and services to consumers, small businesses and commercial clients. Our goal is to create one of the nation's great banks, and we have the necessary ingredients: a strong balance sheet, resilient businesses, a massive customer franchise, strong analytical capabilities, and great people. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company - and a great place to work. We love to be curious, to dream, and to build the best possible experiences for our customers and our associates. As a Platform Engineer you will work with talented engineering and delivery teams to deliver a more secure and resilient network for our applications, associates, and customers.The Retail Network Technology Engineering Team is responsible for all connectivity within the Retail Bank and the contact centers that support the business. We're looking for an experienced platform engineer who is passionate about network infrastructure, automation, and learning new technologies. This role resides within a highly motivated, fast-paced team. A successful candidate will be a self-starter, problem solver, intellectually curious, able to work with autonomy, and a great teammate. The person we are looking for:Has a strong sense of ownership and takes pride in everything deliveredHas a sense of intellectual curiosity and a burning desire to learnIs self-driven, actively looking for ways to contribute, and knows how to get things doneIsn't afraid to innovate and challenge the status quoIs excited to work with a variety of different technologiesHas proven experience in designing, implementing, and maintaining network solutions and infrastructure with a strong understanding of networking protocols, architectures, and technologiesHas knowledge of scripted or automated deployment of network hardware and associated configurationsPossess excellent problem-solving skills, attention to detail, and the ability to work effectively both independently and as part of a teamHas a proactive approach to identifying and addressing security vulnerabilitiesHas superb communication skills and the ability to liaise with business partners and technical teams to coordinate efforts to achieve objectives with easeCan perform off hours changes during the weekValues the team over selfBasic Qualifications:High school diploma, GED, or equivalent certificationAt least 4 years experience with Cisco switching and routingAt least 3 years of experience with SD-WAN technologies (Versa, Aryaka, Cisco, Silver Peak, Juniper Networks, Fortinet, etc.)At least 3 years of experience with Vulnerability Management and patchingAt least 2 years of experience with out-of-band solutions(Lantronix, Opengear, Perle, Raritan, etc.)At least 2 years of systems integration experienceAt least 1 year of experience with scripting languages (Python, Ansible or Shell)Preferred Qualifications:Bachelor's Degree or military experience6+ years experience with Cisco switching and routing3+ years of experience with scripting languages (Python, Ansible or Shell)2+ years of experience with firewall administration (Palo Alto, Barracuda CloudGen, Juniper SRX, SonicWall, Cisco Meraki MX, Cisco Secure, Fortinet FortiGate, etc.)2+ years of experience with automated provisioning of environments and workflows2+ years of experience in Change Management2+ years of project lead experienceCCNA , CCNP, CCT, CompTIA Network+, CompTIA Security+, and Versa Certified SD-WAN Associate certificationsAt 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.New York City (Hybrid On-Site): $163,300 - $186,400 for Lead Platform EngineerCandidates 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.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 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 [email protected]. 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 [email protected] 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).

Locations: NY - New York, United States of America, New York, New YorkSenior Director, Platform OperationsSr. Director - Platform Operations At Capital One, we believe that AI and machine learning represent the biggest opportunity in financial services today, and is a chance to revolutionize the industry with more real-time personalized experiences than it was ever possible. Our mission is to use the power of machine learning to deliver better financial services to our customers by creating trustworthy, reliable and human-in-the-loop systems. From informing customers about unusual charges to answering their questions in real time, our AI/ML capabilities are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure that provides on-demand compute and storage for machine learning and our principled approach to building enterprise platforms led by our best talent, we are now uniquely positioned to harness the power of generative AI that few other organizations can. Capital One's commitment to AI has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. We are committed to building world-class applied science and engineering teams, on the foundations of our industry leading data and AI/ML capabilities with breakthrough product experiences. The Vice President, Platform Operations will lead and optimize our Machine Learning & Artificial Intelligence platform operations. This executive will report into the Senior Vice President, Head of Machine Learning Experience in our engineering organization.At Capital One, diversity, inclusion and belonging are valued at our core. We empower our associates to do great work by creating an inclusive culture - we call this our Culture of Belonging, and it rests at the heart of our Diversity, and Inclusion & Belonging (DIB) efforts. As this role will serve as a member of our leadership team within our Enterprise Data Machine Learning organization, and will be responsible for leading, coaching, and mentoring our engineers, it is of paramount importance this individual values diverse perspectives, fosters collaboration and encourages innovative ideas - and can create a place where associates of all backgrounds can thrive by bringing their most authentic selves to work.As we continue to grow and expand, we are seeking a highly skilled and motivated Sr. Director of Platform Operations to lead and optimize our ML/AI platform operations.Our Sr. Director Platform Operations will:Play a pivotal role in setting the roadmap and overseeing the day-to-day management of our AI and ML platforms including: setting strategies and overseeing container management in public cloud (AWS), cloud resource provisioning, ensuring low latency, high availability of cloud resources, cloud optimization, etc.Maintain a deep understanding of the technical aspects of the platform, including infra, algorithms, APIs and integrations. Provide operations leadership to the engineering and production teams.Implement robust processes and operations dashboard to monitor platform performance, user feedback, and adherence to service level agreements (SLAs), observability, resiliency, and key operational metrics in real time.Collaborate with cyber, technology risk management, security and compliance teams to understand the company cyber, risk and compliance requirements. Work closely with product and engineering to ensure the platform adheres to industry best practices, corporate cyber and tech risk management standardsImplement automation and dashboards to visualize vulnerabilities, platform incidents, cloud controls compliance, cloud resource utilization etc. to enable proactive decision making, and risk mitigation.Work closely with executive leadership and buy-ings to develop a long-term vision and roadmap for the platform operations enhancementsBuild a high performing operations team, recruiting world class SREs, production engineers, data engineers, groom, and retain talent on teamBasic QualificationsBachelor's degreeAt least 9 years of experience managing Platform, infrastructure operations or Site Reliability Engineering in a public cloud environmentAt least 7 years of people management experiencePreferred QualificationsMaster's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics)5+ years of experience in managing large-scale, high-performance, distributed systems as a Site Reliability Engineer or a product engineer5+ years years experience in setting up and scaling observability platform, providing monitoring and telemetry support and creating Operational health dashboards3+ years experience in building systems and solutions within a regulated environment3+ years of experience in Artificial Intelligence, Machine Learning or Cloud infrastructure3+ years experience with managing distributed systems, multi-tenant, micro services, and container orchestration (Kubernetes)Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure or platforms5+ years of experience with machine learning lifecycle(building, training models, serving models, setting up cloud infrastructure or data pipelines) and familiarity with major Machine Learning frameworksCapital 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. 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 City (Hybrid On-Site): $321,500 - $366,900 for Sr. Dir, Software EngineeringSan Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr. Dir, Software EngineeringCandidates 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.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 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 [email protected]. 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 [email protected] 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).

Center 3 (19075), United States of America, McLean, VirginiaLead Platform Engineer, WorkdayDo you love building and pioneering in the technology space? Do you enjoy solving complex technical 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.We are seeking Platform Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that's leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One's Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions.General Responsibilities:Understand and translate the priorities of the business while integrating HR value proposition and strategies to meet the needs of the businessDeliver solutions in Workday across HCM, Recruiting, Compensation, Payroll and Benefits through efficient and organized processes while maintaining high standardsEffectively communicate across team, Product Owner, stakeholders and influence solutions across business partnersIdentify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results.Design and develop complex integrations within the Workday platform to support candidate and associate experience using web service technologies, SOAP, REST, WSDL, XML, XSLT.Provide technical expertise on Workday Studio technologies, security, troubleshooting system issues, data analysis, vendor management and coordination with other HR/Enterprise teams.Lead a team of integrators and configurators to support the Workday Recruiting moduleWork with product owners to align on priorities and deliver on key objectives using Agile methodologies, while maintaining the highest platform and Enterprise standards.Design and develop automation workflows, perform unit tests and conduct code reviews for self and the team, to make sure work is rigorously designed, elegantly coded and effectively tuned for platform performance and quality.Basic Qualifications:High School Diploma, GED, or equivalent certificationAt least 6 years of experience designing and developing integration solutions in Workday using Core Connectors, Workday Studio, Custom Reports or RaaS solutionsAt least 3 years of experience working with APIs within the Workday environment using REST or SOAPAt least 2 years of experience in a technical leadership role overseeing strategic projectsPreferred Qualifications:Bachelor's degree5+ years of experience working with Workday Human Resources modules including HCM, Payroll, Benefits, Recruiting or Talent and Performance Management4+ years of experience working with APIs within the Workday environment using REST or SOAPWorkday Integration Developer certificationsExperience working in an agile delivery environmentExperience with building solutions on Workday ExtendWorkday or Workday Pro certifications (HCM, Recruiting, Benefits, Compensation, Time Tracking or Performance Management)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.New York City (Hybrid On-Site): $163,300 - $186,400 for Lead Platform EngineerSan Francisco, California (Hybrid On-Site): $173,100 - $197,500 for Lead Platform EngineerCandidates 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.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 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 [email protected]. 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 [email protected] 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).

Center 1 (19052), United States of America, McLean, VirginiaLead Software Engineer, Back End (Python, PySpark, 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 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. 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: In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: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.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).Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.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.Retrain, maintain, and monitor models in production.Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.Construct optimized data pipelines to feed ML models.Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.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.Use programming languages like Python, Scala, or Java.Basic Qualifications: Bachelor's DegreeAt least 6 years of professional software engineering experience (Internship experience does not apply)At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)Preferred Qualifications:Master's Degree7+ years of experience in at least one of the following: Python, Scala, Java, Go, or Node.js2+ years of experience with AWS, GCP, Azure, or another cloud service4+ years of experience in open source frameworks1+ years of people management experience2+ years of experience in Agile practices2+ years of experience with model development and deployment patternsAt 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.New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software EngineerCandidates 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.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 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 [email protected]. 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 [email protected] 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).