Building Engineer Salary in Milwaukee, WI

Duration: 12 monthsDescription: Sr Engineer:The Senior Engineer II is part of our Building Efficiency Business at Johnson Controls, a fortune 67 company. This person will designs, develops, and implements embedded firmware for control applications. Troubleshoots, debugs, and develops software code. Has knowledge of standard coding practices, concepts, and procedures within the field. Relies on personal judgment to plan and accomplish goals. Performs a variety of tasks. Works under general supervision. A certain degree of creativity and independence are required. Typically reports to a project leader or manager.PRINCIPLE DUTIES:Develops, plans, and implements firm ware utilizing standard engineering and technology principles and established company processes, procedures, and guidelines.Performs investigation and analysis as required by project/product requirements.Provides work estimates; plans and coordinates development work to meet established objectives for project/ system quality and performance.Uses good software development and engineering judgment when making adaptations or modifications.Analyzes and resolves problems while providing technical feedback.Participates in knowledge/technology transfer within the organization when required.May be asked to prepare and review product documentation, instructions, and technical literature.Performs thorough testing of all implementation changes; performs integration testing as appropriate to ensure robust, high quality implementation prior to delivery to System Test.Participates in design activities with other team members as appropriate.Keeps management and project team members informed of work progress and any problems encountered.Maintains careful version control and follows disciplined archiving processesRequirements:C programming languageKnowledge of embedded devicesExperience with Real Time Operating Systems(RTOS)Experience with one or more serial protocols(i.e. BACnet MSTP, Modbus)Expert at debugging code using debuggers and other toolsAbility to read data sheets and configure devices at the chip levelAbility to create detailed design documentation and implement firmware based on high-level designExperience writing development-level documentation (defect write-up/analysis, solution analysis/proposals, test plans, test results, etc.)Solid analytical problem solving and troubleshooting skillsStrong interpersonal and team skillsExcellent command of written and spoken EnglishAttention to detailQUALIFICATIONS:Bachelor's Degree in Computer or Electrical Engineering with an emphasis on firmware development.6 years of development experience is required.Key Skills: Sr. Engineer / Technologist

Center 1 (19052), United States of America, McLean, VirginiaDistinguished Engineer- CloudAs a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.In this role, you will be a part of the Cloud Evolution organization supporting emerging business initiatives through cloud technologies. You will lead the development and implementation of cloud patterns that enable these business initiatives, working with other leaders and teams across the enterprise to enable these solutions. You will rapidly experiment with new technologies and leverage your learnings to influence tech strategy to achieve scale, efficiencies and security of cloud services. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.Key responsibilities:Articulate and evangelize a bold technical vision for your domainDecompose complex problems into practical and operational solutionsEnsure the quality of technical design and implementationServe as an authoritative expert on non-functional system characteristics, such as performance, scalability and operabilityContinue learning and injecting advanced technical knowledge into our communityHandle several projects simultaneously, balancing your time to maximize impactAct as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product communityExplore new cloud technologies and identify applications to leverage their potentialDevelop patterns for cloud to enable emerging business initiativesCollaborate with tech leaders to drive tech strategyEvangelize cloud strategy, solutions and best practices across the enterpriseBasic QualificationsBachelor's DegreeAt least 7 years experience of software development using Python, Go Lang, or JavaAt least 7 years of experience in cloud servicesPreferred Qualifications:Master's Degree in Computer Science or a related field5+ years of experience in Network and Security engineering10+ years of experience coding in an object Oriented programming language10+ years of experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support5+ years of experience in building distributed systems and services using cloud computing (AWS, GCP, Azure)Professional certification from a cloud provider (AWS, GCP, or Azure)Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. 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): $274,800 - $313,600 for Distinguished EngineerSan Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished 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).

Travel to a specific market(s), overseeing the onsite construction activities for our rental housing communitiesHelp with pre-con activities on multiple projects such as code review, geotech and utility availability lettersHelp prepare preliminary project estimates and schedules for new project submittalsCoordinate plan submittals and work with the assigned architects and civil engineersWalk buildings and prepare construction punch lists for building delivery to property management teamHandle warranty itemsIn addition to responsibilities above, manage one project from commencement of construction activities through completion with the oversight of your leaderMPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.Bachelor's Degree in Construction Management, Engineering, Architecture, or related fieldIdeally looking for 2 years of prior experience in similar roleDesire to travel frequently (typical travel would be overnight one to two nights of a week, three weeks a month)

Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning Engineer (Python, Spark, MLOPS, Cloud)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. 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 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).

Center 1 (19052), United States of America, McLean, VirginiaSr. Distinguished Engineer (Sr. Director IC) - Card AuthorizationsAs a Sr. Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.Sr. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.In this role, you will work with our Card Tech Authorizations organization that builds and delivers on spend strategies which advance credit card usage across the payments ecosystem. You will set and execute the vision and strategy of modern platforms directly interfacing with credit card networks, acquirers, and partners to deliver amazing, next-generation, credit card capabilities to our customers. From deeply understanding the card payment ecosystem to supporting massive scale platforms that are highly resilient and performant, you will strategically lead with our engineering teams that create the future spend capabilities for our customers.If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.Key responsibilities:Articulate and evangelize a bold technical vision for your domainDecompose complex problems into practical and operational solutionsEnsure the quality of technical design and implementationServe as an authoritative expert on non-functional system characteristics, such as performance, scalability and operabilityContinue learning and injecting advanced technical knowledge into our communityHandle several projects simultaneously, balancing your time to maximize impactAct as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product communityBasic QualificationsBachelor's DegreeAt least 9 years of experience in software engineering and solution architectureAt least 5 years of experience designing and building distributed, transactional, low-latent, and resilient systemsPreferred Qualifications:Bachelor's or Master's Degree in Computer Science or a related field10+ years of experience in software engineering and solution architecture10+ years of professional experience coding in commonly used languages like Java, Python, Go10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support3+ years of experience with public or private cloud technologies2+ years of experience working on credit card authorizations systems2+ years of experience working with credit card payment networksCapital 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 Distinguished 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).

Assist project managers in overseeing light commercial construction projects from start to finish, ensuring adherence to design specifications, quality standards, and project time-lines.Collaborate with architects, engineers, superintendents, and subcontractors to coordinate project activities and resolve any issues that arise.Conduct site visits and inspections to monitor progress, identify potential risks, and ensure compliance with safety regulations and building codes.Assist in the development and maintenance of project schedules, budgets, and documentation.Participate in progress meetings, prepare reports, and communicate project updates to stakeholders.Support project managers in managing subcontractor agreements, change orders, and project closeout processes.Assist in the procurement of materials and equipment, ensuring timely delivery and adherence to project specifications.Embrace a continuous learning mindset, seeking opportunities to expand your knowledge and skills in construction management. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.Bachelor's degree in Construction Management, Engineering, or a related field.1-3 years of experience in construction project management, preferably in commercial or light industrial settings.Strong understanding of construction methodologies, building codes, and industry best practices.Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams.Proficiency in project management software, scheduling tools, and Microsoft Office applications.Attention to detail and a commitment to delivering high-quality work.Ability to multitask, prioritize tasks, and work well under pressure.Passion for architecture and innovative design.

Are you a skilled Machine Learning Engineer searching for your next career opportunity and chance for technical growth? Look no further - the perfect opportunity is here for you! The ideal candidate for this position will have an abundance of experience with the following tools and technologies: 5+ years in data engineering, data quality, data modeling, and data analytics Machine learning, data science, machine learning operations (MLOps) or related roles (statistical, predictive, classification, clustering models) Core software development activities including requirements gathering, design, construction, and testing (a/b testing) Experience with formal software development methodologies, including sdlc, agile or scrum Experience building llm applications using rag architecture, langchain, and llamaindex Knowledge of Python, SQL, and data manipulation libraries (pandas, numpy) Understanding of restful APIs Experience with Microsoft dynamics 365 framework, including power automate Experience with Snowflake for data processing Knowledge of Natural Language Processing (nlp) Knowledge of open-source projects or publications in ML/AI Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.If you would like to complete our voluntary self-identification form, please click here or copy and paste the following link into an open window in your browser: https://jobs.beaconhillstaffing.com/eeoc/Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.Company Profile:Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs. Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles.Learn more about Beacon Hill Staffing Group and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting www.beaconhillstaffing.com . We look forward to working with you.Beacon Hill. Employing the Future™

Plan, execute, and monitor all phases of the construction project lifecycle, including design, procurement, construction, and closeout.Develop and manage project schedules, budgets, and resources to ensure project milestones are achieved.Coordinate and communicate effectively with clients, architects, engineers, and subcontractors to ensure project requirements are met.Conduct regular site visits to monitor progress, resolve issues, and ensure compliance with safety regulations and quality standards.Prepare and present project reports, including status updates, financial analysis, and risk assessments, to stakeholders and senior management.Manage and mentor project teams, providing guidance, support, and motivation to achieve project objectives.Proactively identify and mitigate project risks, troubleshoot issues, and implement corrective actions as necessary.Foster positive relationships with clients, ensuring customer satisfaction and repeat business opportunities.Stay updated on industry trends, best practices, and regulatory requirements to drive continuous improvement in project management processes.MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.3+ years of true project management experienceExperience with ground up construction (commercial/healthcare preferred but not required)Knowledge of applicable construction technologiesClient-facing abilityAbility to thrive in fast paced environment

Center 1 (19052), United States of America, McLean, VirginiaDistinguished EngineerAs a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.In this role, you will be a part of the Upmarket team supporting emerging business initiatives for the Card Technology organization. You will lead development and implementation that will enable these business initiatives, working with other leaders and teams across the enterprise to enable these solutions. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.Key responsibilities:Articulate and evangelize a bold technical vision for your domainDecompose complex problems into practical and operational solutionsEnsure the quality of technical design and implementationServe as an authoritative expert on non-functional system characteristics, such as performance, scalability and operabilityContinue learning and injecting advanced technical knowledge into our communityHandle several projects simultaneously, balancing your time to maximize impactAct as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product communityExplore new cloud technologies and identify applications to leverage their potentialDevelop patterns for cloud to enable emerging business initiativesCollaborate with tech leaders to drive tech strategyEvangelize cloud strategy, solutions and best practices across the enterpriseBasic Qualifications:Bachelor's DegreeAt least 7 years of experience with solution architecture or software engineeringAt least 2 years of AWS experiencePreferred Qualifications:Master's Degree in Computer Science or a related field9+ years of experience with solution architecture or software engineeringCapital 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): $274,800 - $313,600 for Distinguished 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, 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. This team participates in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. In this role you will have a direct impact on customers and leverage tools like Python, PySpark, Dask, PyTorch, TensorFlow, AWS (Lambda, Step Functions, EMR, SageMaker), Kubernetes, and Kubeflow.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 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).