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Test Engineer Salary in Indiana, USA

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Engineer III, Validation
Thermo Fisher Scientific, Indianapolis
Job DescriptionAs part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer!Location/Division Specific InformationThermo Fisher Scientific run's the World's largest clinical packaging operation. Our Clinical Trials facilities are strategically placed around the world to accommodate local and regional sourcing needs. Join us to help serve millions of our global clinical trials patients!How will you make an impact?The Process Validation Engineer will mentor and support in the diagnoses and resolution of software, instrument, and process problems to maintain system readiness of both packaging equipment and data historian network. You will ensure site compliance and all vital activities are performed on time to keep all validated systems in a validated state. In this role, you will also create and implement the site's validation strategy. What you will doAssess and define assigned validation projects. Liaise between engineering and quality assurance throughout validation lifecycle of packaging equipment and data historian network.Develop validation strategy based on URS and pFMEAWriting, reviewing, and implementing project validation protocols for standard & customized systems.Raise discrepancies and closeout test documentation.Prepare validation summary reports for completed protocolsConduct deviation investigations, such as validation failures, complaints, and hold investigations. To Identify & implement the appropriate corrective actions.Applying structured problem-solving tools, work with Operations to resolve technical issues and rationalize impact to validated state.Author operational guidance documents (SOP/WI/JA/FORM) and conduct trainingsTravel to support FAT executionsPartner with quality assurance team to participate in internal and external audits to defend equipment validation packages including calibration and maintenanceHow you will get there:Education:Bachelor of Science Degree in Engineering or another scientific subject area from an accredited College or UniversityExperience:Minimum of 3 years of validation experience in a regulated industry or equivalent validation experience that included the development and execution of FAT, SAT, and IQ/OQ protocols required.Experience with DeltaV or similar automation system preferred.Experience working with Trackwise, Maximo, and other electronic document management systems preferred.Experience applying Data Integrity Principles (ALCOA) as part of standard work preferred.Experience with computer systems validation, cleaning validation, and environmental monitoring preferred.Demonstrated understanding of cGMP, GDP, and regulatory requirements for automated systems, CPPs, and CQAs, pFMEAsKnowledge, Skills, AbilitiesGreat teammate who enjoys working on a dynamic team and making an impactDriven to successfully evaluate risks, opportunities, and roadblocks to make the best decisions to achieve your goals and the team's goals.Diligent collaborator whose comfortable influencing, informing, and instructing peers and members of the leadership team throughout all levels of the organization.Hands-on engineer with comfortability being present in and working in and around manufacturing areas and equipment.Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.Apply today! http://jobs.thermofisher.comThermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.Accessibility/Disability AccessJob Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-855-471-2255*. Please include your contact information and specific details about your required accommodation to support you during the job application process.This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response.
Lead Commissioning Engineer
TRC Companies, Inc., Fort Wayne
About UsGroundbreaker. Game changer. Pioneer.TRC has long set the bar for clients who require more than just engineering, combining science with the latest technology to devise innovative solutions that stand the test of time. From pipelines to power plants, roadways to reservoirs, schoolyards to security solutions, clients look to TRC for breakthrough thinking backed by the innovative follow-through of an industry leader.TRC's professionals work with a broad range of commercial, industrial and government clients and the communities they serve. We deliver breakthrough solutions that address local needs -- so our clients can better succeed in an ever-changing world.Working at TRC means tackling interesting, meaningful projects. We pride ourselves on our collaborative spirit, entrepreneurial zeal and agile corporate structure. We recognize that the expertise of our staff is our strongest asset, so we generously reward employees for successful performance and invest in their careers through training and the development of new skills and certifications.OverviewDue to continued growth, TRC Field Services (FSV) is seeking more Lead Commissioning Engineers to support our Client Teams in our Midwest market.With a staff of over 200 experienced utility and industrial commissioning engineers and test technicians, TRC delivers comprehensive, cost-effective solutions safely to our Electric Utility Customers while providing the best training programs and mentors in this industry and numerous opportunities for growth with excellent benefits.TRC is one of the premier national providers of testing and commissioning solutions in the country. Our staff undergoes extensive, in-house training, ensuring efficient project start up and adherence to your individual standards and specifications. We follow well documented procedures and guidelines to ensure safe and thorough planning and testing, so we can manage risk and safeguard ongoing operations.ResponsibilitiesResponsibilitiesPlan, coordinate, perform and document all commissioning activities (pre-commissioning, through construction, testing - commissioning, energization - project close out) of various utility substation protection, control and power circuits in accordance with TRC's and Client's requirements, budgets, schedulesReview of wiring diagrams, schematics, engineering documents in advance of projects and outagesPerform trouble-shooting and problem analysis associated with protection and control systems and utility substation equipment, including but not limited to: Application Errors and Omissions, Drawing Errors and Omissions, Wiring Errors and Omissions, Settings Errors and Omissions, Equipment Malfunctions, Questionable Apparatus Test Results, Battery Ground FaultsParticipate in project meetings including but not limited to: kickoff meetings, planning meetings, progress meetings, lessons learned meetings.Prepare detailed daily, weekly, and project completion reports and documentation that includes project progress, issues or problems, recommendations, test results and analysesAssist in developing project specific testing and commissioning plans, energization plans, or any other assigned project specific documentationIdentify risks and associated mitigation techniques on utility systems and equipment. Develop a Site Risk Assessment to document all high risk construction and commissioning activities and to formalize the processes of circuit isolation and restoration in a manner that ensures no unintended operations of station equipment and protection systems and personnel safety.+Make certain all applicable tests and/or commissioning activities are performed on every piece of equipment or system in accordance with planning and project documents. Make certain all test results are acceptable and permanently recorded, filed and distributed properly.Develop detailed test reports of various types of electrical equipment. Review and approve detailed test reports of various types of electrical equipment.QualificationsQualificationsA Bachelor of Science degree in Engineering (Electrical or Power Systems preferred) from an accredited school or University and 10+ years related experience with testing and commissioning services (Electric Utility experience is preferred but will train T-C Engineers with experience in commissioning complex commercial - industrial equipment including protective relays or other Power Systems Field Engineers with relay knowledge.) Project located in Mid-Atlantic.Demonstrated ability to both read and understand construction and manufacturer-s drawings and specifications as well as schematic diagramsStrong knowledge of (or the ability to learn) electrical protection systems, including relay communication; Basic understanding of (or the ability to learn) AC and DC schematics, wiring and drawings, one line and three line interconnection diagramsPrior professional experience in (or the ability to learn quickly) medium and high voltage substation and power plant equipment. Perform basic apparatus testing and interpret test results with supervision.Solid testing and commissioning knowledge of (or the ability to learn quickly) substation utility protection and control circuits. Perform commissioning activities and interpret results with supervision. Basic knowledge of and ability to learn commissioning methods to accurately conduct and document commissioning activities.Test experience using Doble Protection Suite and/ or ProTest, SEL AcSELerator, Enoserv RTS are highly preferred.Current US work eligibility is required together with a Valid USA driver's license issued by state of residence and in good standing is requiredMust be available for out-of-town travel of up to several weeks at a timeMust be available work flexible hours, weekends, overtime holidays and night workMust have excellent verbal and written skills and be able to communicate and negotiate effectively with clients and TeamPhysical Demands -- The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functionsTRC offers advancement potential and a competitive compensation and benefits package including a 401k plan with a company match. For more information please visit our website at https://protect-us.mimecast.com/s/rzRdC0RBN1FmP5jJuq7uYJ?domain=trccompanies.com.EEO StatementTRC is an equal opportunity employer: disability/veteran. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Engineer, Glass Technology
ArdaghGroup, Indianapolis
Role description: The Glass Technology Engineer assists in the creation of glass formulas for Ardagh Glass Packaging North America's twenty-nine furnaces. This role supports the plants on glass and raw material quality troubleshooting. This position also assists in raw material selection, monitoring, and audits. The Glass Technology Engineer maintains databases of formulas, tests glass, and raw materials, and issues report. Responsibilities: Write and issue cullet, color, and oxide changes as needed Provide plant support for all glass-related elements including composition, forming characteristics, color, and defects analysis Coordinate glass-related elements between furnace environmental compliance, glass and batch composition, and furnace operations Respond to informational requests, solve specific glass problems or operational problems, and assist in the training of plant personnel Maintain a reporting system for calculating glass formulas, cost savings, glass quality improvement, and color changes Manage and maintain quarterly raw material and glass testing and all reports Conduct defect source analysis and communicate issues with vendors, analytical laboratories, plants, and corporate management Minimum skills / qualifications: A Bachelor's degree in Ceramic Engineering, Chemical Engineering, or other technical-related disciplines One year of technical experience in the glass container manufacturing industry Must be able to be on call 24/7 Must have excellent problem-solving skills Must be proficient with Microsoft Office Suite, especially with Microsoft Excel Prior exposure to PowerBI Must be able to travel up to 50% Preferred skills / qualifications: Three years of technical experience in the glass container manufacturing industry Prior experience working in a glass manufacturing plant within the batch and furnace space Prior experience in statistical analysis Lean Six Sigma Certification About Ardagh Group Ardagh Glass Packaging is a global leader in glass packaging solutions, producing packaging for the world's leading brands. We trace our roots all the way back to the Irish Glass Bottle Company, founded in 1932. Since then, we have grown rapidly to a team of more than 20,000 people with revenues of over $9 billion. Today we have a presence across Europe, Africa, and North America. Did you know that Ardagh produce many of the beverage cans and bottles you drink your favorite beverages from? Did you know we produce metal and glass packaging which are permanent materials, meaning they can be infinitely recycled without any loss of quality? Did you know we produce more than 160 million containers per day? Ardagh is passionate about sustainability and have a reputation for innovation. We push the boundaries of what's possible, pioneering new production methods, new design techniques and new ways to recycle and save energy. Our aim is to reduce any negative environmental impact while remaining economically sustainable and socially responsible. We believe that the success of our business depends on the success of our people. We strive to create working environments where our employees feel valued, can work to their full potential, and where their achievements are celebrated. Here at Ardagh, we offer exciting and rewarding opportunities for talented and creative people. If you have ambition and want to make an impact with your career, come and join our team, you'll enjoy the journey! Benefits Offered: Medical, prescription, dental and vision plans Flexible Spending Accounts (FSA) Life insurance 401(k) retirement plan with company match Paid holidays and vacation Short- and Long-Term Disability (STD/LTD) Employee Assistance Program (EAP) Apprenticeship programs Professional and personal development opportunities through Employee Resource Groups Ardagh Group is an Equal Employment Opportunity (EEO) Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other basis prohibited by federal, state, and local law. Ardagh Group complies with federal, state, and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. Contact Kelly Molloy ([email protected]) if a reasonable accommodation is needed.Nearest Major Market: Indianapolis
Senior Software Engineer Back End (Python, AWS)
Capital One, South Bend
Center 1 (19052), United States of America, McLean, VirginiaSenior Software Engineer Back End (Python, AWS)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. 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: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentUtilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's DegreeAt least 4 years of professional software engineering experience (Internship experience does not apply)Preferred Qualifications:5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js1+ years of experience with AWS, GCP, Azure, or another cloud service3+ years of experience in open source frameworks2+ 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): $165,100 - $188,500 for Senior 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).
Senior Machine Learning Engineer
Capital One, Valparaiso
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).
Senior Machine Learning Engineer
Capital One, South Bend
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).