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Job Description Job Description Job Description We are seeking an Information Systems Security Manager to join our high-performance team supporting a Navy project with the Naval Information Warfare Center Atlantic (NIWC Atlantic). This individual will be responsible for coordinating cybersecurity activities, managing security documentation, and working with Government stakeholders and technical teams to identify and address system risks. The ideal candidate combines management and compliance experience with a practical understanding of system vulnerabilities, penetration testing tools, and adversary behavior. Key Responsibilities • Manage and coordinate cybersecurity activities supporting Navy information systems throughout their lifecycle. • Support Risk Management Framework (RMF) activities, security control implementation, assessment preparation, and authorization package maintenance. • Develop and maintain cybersecurity policies, procedures, system security plans, and supporting documentation. • Coordinate with Government cybersecurity leadership, system owners, Information Systems Security Officers (ISSOs), engineers, and assessment teams to address security requirements and risks. • Track vulnerabilities, assessment findings, and Plans of Action and Milestones (POAMs), and coordinate remediation with responsible technical teams. • Review vulnerability and penetration testing results, evaluate potential mission impacts, and support mitigation recommendations. • Apply knowledge of penetration testing tools and threat behavior to help evaluate security controls and identify weaknesses. • Support continuous monitoring, configuration management, incident response coordination, and cybersecurity reporting. • Communicate system security posture, outstanding risks, and remediation status to Government stakeholders. , Required Skills • High school diploma or GED • TS/SCI DoD Security Clearance • At least three years of computerized system experience, including: o Test and evaluation. o Network protocols. o Local area network (LAN) administration fundamentals. o UNIX- and Windows-based operating systems. • Demonstrated experience using penetration testing tools and mimicking threat behavior. • Must be working toward at least one of the certifications listed below within one year after assuming duties: o Offensive Security Certified Professional (OSCP). o Offensive Security Certified Expert (OSCE). o Offensive Security Exploitation Expert (OSEE). o Offensive Security Exploit Developer (OSED). o Offensive Security Experienced Pentester (OSEP). o Offensive Security Wireless Professional (OSWP). o Offensive Security Web Expert (OSWE). o Hack The Box Certified Penetration Testing Specialist (HTB CPTS). o Hack The Box Certified Bug Bounty Hunter (HTB CBBH). o Certified Red Team Operator (CRTO) from Zero Point Security. o Certified Red Team Lead (CRTL) from Zero Point Security. o Practical Network Penetration Tester (PNPT). o GIAC Red Team Professional (GRTP). o GIAC Experienced Penetration Tester (GX-PT). o GIAC Exploit Researcher and Advanced Penetration Tester (GXPN). , Desired Skills • Experience serving as an ISSM, ISSO, or cybersecurity lead supporting Navy or other Department of Defense systems. • Experience with RMF, authorization to operate (ATO) packages, and the Enterprise Mission Assurance Support Service (eMASS). • Experience with the Assured Compliance Assessment Solution (ACAS), Security Technical Implementation Guides (STIGs), vulnerability analysis, and remediation tracking. • Experience translating penetration testing findings into corrective actions and risk recommendations. • Strong technical writing, coordination, and communication skills. , Additional Details acuCyber is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status. , About acuCyber At acuCyber, cleared tech talent fuels the future of national defense. As a respected and fast-growing player in the DoD and federal contracting space, we deliver advanced cybersecurity and digital solutions that protect vital systems and drive mission success. Our team of cleared engineers, developers, and cyber experts work hands-on with secure environments, and zero-trust architecture. In return, you'll join a mission-first culture with real growth opportunities and solid benefits: competitive health coverage, 401(k), PTO, short-term disability, and more. If you're ready to level up your skills and contribute to projects with purpose, acuCyber is where your clearance counts.

Description: Job Title Structural Processing Lead Shift differentials for Weekend Shift Dogwood Industries - Who We Are Build your future with Dogwood Industries! Dogwood Industries is at the forefront of designing and manufacturing Pre-engineered Panelized Relocatable Metal Buildings, delivering industry leading solutions for mission-critical projects across industrial and DoD markets. Through a precise blend of manufacturing and construction, we build high-performance, rapidly deployable structures that keep critical missions moving forward. Our team provides leadership in the design process that transforms the way our clients work by delivering buildings as equipment solutions in harsh environments around the world. If you are motivated by innovation, thrive in a fast-paced setting, and want to be part of a team that is revolutionizing the building industry, we'd love to speak with you! General Job Description Dogwood Industries is seeking an experienced Structural Processing Lead our Factory in Sedro-Woolley, WA. The core mission of the Structural Processing Lead is to operate a CNC robotic plasma cutting structural fabrication systems while assisting the Structural Processing Supervisor in guiding the team. The Structural Processing Lead (PythonX) processes steel beams, channel, and square/rectangular tubes. Duties & Responsibilities Reads shop drawings to determine machining to be done, dimensional specifications, set up, and operating requirements Safely uses material handle equipment to move steel to and from the processing area. Possesses knowledge of PythonX including power button and all switches Secures work pieces and operates stops and guides for proper alignment Depresses buttons, toggles, and starts machining operation Observes numerical displays on control panel and compares with data on process sheet to verify dimensional adjustments, feed rates, and speeds of machining cuts Turns dials and switches to correct machine performance Inspects first-run piece and spot-checks succeeding pieces for conformance to specifications and follows QC procedures Studies job packet and organizes materials for next run to shorten changeover time Follow safety guidelines and procedures at all times Mentors crew members to achieve personal and team improvement Takes responsibility for the safe execution of the work Proactively catches and eliminates quality issues before they impact work Additional duties as assigned Requirements: 3+ year of experience as a CNC Machine Operator High school diploma, general education degree or vocational degree Experience in an industrial setting Proven ability to effectively communicate both verbally and in writing Fluency in English with excellent written and oral communication skills Proficient in Microsoft Office including Word, Excel, Outlook and Adobe Acrobat Physical Requirements/Work Environment 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. While performing the duties of this job, the employee is regularly required to have full range of mobility in upper and lower body, able to reach overhead, able to work in various positions, including, but not limited to, stooping, standing, bending over, sitting, kneeling, squatting; use hands to handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance for extended periods of time. Be able to lift, pull and push material and equipment to complete assigned job tasks. Be able to lift 50 pounds of weight throughout assigned workday if required. The employee will be exposed to shop elements such as noise, dust, fumes and odors. This position requires physical activity performing somewhat strenuous daily activities in a primarily production environment. The work environment characteristics here are representative of those an employee encounters while performing the essential functions of this job. Compensation $38.00 - $45.00 per hour, depending on experience and qualifications Benefits Health Benefits, including medical, dental and vision Company paid and supplemental life insurance Short-term disability Long-term disability Additional voluntary benefits Paid vacation, paid sick leave and paid holidays 401(k) retirement plan, with employer match Employee Referral Bonus Program Applicant Notes Applicants must provide complete work history with employer references for last three to five years All employees are subject to a pre-employment background check and pre-employment and random drug testing. Due to working in / being exposed to a safety sensitive environment, THC testing will occur as part of all drug screens. Location This is an onsite position based out of the Dogwood Factory Office at 500 Metcalf st, Sedro-Woolley, WA 98284. Application Assistance If you are an individual with a disability and need a reasonable accommodation in the application or hiring process, please contact Dogwood's HR department at or . Equal Employment Opportunity All qualified applicants will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, or any other status protected by law. For more information about our commitment to equal employment opportunity, please see this government poster: Know Your Rights: Workplace discrimination is illegal Disclaimer: Although the Company has attempted to accurately and thoroughly describe this position, the Company reserves the right to change the same, including to change, add to or subtract from the duties outlined, within the sole discretion of the Company, at any time, with or without advance notice. In order to meet company deadlines, work in excess of 40 hours per week may be required from time to time. PM22 Compensation details: 38-45 Hourly Wage PIda61a8b9adfa-9600

Job Description Job Description Job Description acuCyber is hiring a TS SCI cleared Red Team operator to support a broad range of efforts. , Required Skills Be certified as an Offensive Security Certified Professional (OSCP) or Offensive Security Certified Expert (OSCE) or Offensive Security Exploitation Expert (OSEE) or Offensive Security Exploit Developer (OSED) or Offensive Security Experienced Pentester (OSEP) or Offensive Security Wireless Professional (OSWP) or Offensive Security Web Expert (OSWE) or Hack The Box Certified Penetration Testing Specialist (HTB CPTS) or Hack The Box Certified Bug Bounty Hunter (HTB CBBH) or Certified Red Team Operator (CRTO) from Zero Point Security or Certified Red Team Lead (CRTL) from Zero Point Security or Practical Network Penetration Tester (PNPT) or GIAC Red Team Professional (GRTP) or GIAC Experienced Penetration Tester (GX-PT) or GIAC Exploit Researcher and Advanced Penetration Tester (GXPN) Ten (10) years with Masters or 14 years with Bachelor's degree of experience in computer design, software development or computer networks. Five (5) years of technical experience in support of Penetration Testing or certified Red Team. TS/SCI Clearance , Desired Skills Master's or Bachelor's degree in Computer, Electrical or Electronics Engineering or Mathematics with field of concentration in computer science from Accreditation Board for Engineering and Technology (ABET) accredited program Demonstrated experience working in a demanding environment as a collaborative team member Excellent oral and written communication skills Demonstrated team leadership in a similar past role , About acuCyber At acuCyber, cleared tech talent fuels the future of national defense. As a respected and fast-growing player in the DoD and federal contracting space, we deliver advanced cybersecurity and digital solutions that protect vital systems and drive mission success. Our team of cleared engineers, developers, and cyber experts work hands-on with secure environments, and zero-trust architecture. In return, you'll join a mission-first culture with real growth opportunities and solid benefits: competitive health coverage, 401(k), PTO, short-term disability, and more. If you're ready to level up your skills and contribute to projects with purpose, acuCyber is where your clearance counts.

Transportation Security Inspector - Aviation Opportunities in Watson Transportation Security Inspectors help ensure that airports, air carriers, cargo facilities, and other regulated aviation organizations follow federal transportation-security requirements. Rather than screening passengers at a checkpoint, inspectors evaluate the systems, procedures, records, and security programs designed to protect the broader aviation network. This role combines field inspections, regulatory research, security assessments, incident response, and detailed report writing. Inspectors work with airport representatives, airline personnel, law-enforcement partners, and other stakeholders to identify compliance concerns and strengthen aviation security. Location: Watson, LA Employer: Transportation Security Administration, Department of Homeland Security Pay: 26.00 - 48.00 Pay Band: SV-F Appointment Type: Fulltime Some inspector vacancies are open only to current TSA employees or applicants who qualify through a specific federal hiring path. Review the official announcement before applying to confirm your eligibility. What You May Do Conduct inspections, security assessments, and regulatory-compliance reviews Evaluate airport, airline, and air-cargo security programs and procedures Inspect security processes, records, systems, facilities, and equipment Identify vulnerabilities, compliance concerns, and departures from required standards Review documents and collect information related to inspections or investigations Prepare detailed reports that explain findings, supporting evidence, and required follow-up Recommend or initiate corrective and enforcement actions within assigned authority Respond to security incidents, suspected violations, and emerging transportation threats Participate in approved security tests, exercises, and vulnerability assessments Provide regulatory guidance to airport authorities, air carriers, cargo operators, and other stakeholders Coordinate with TSA personnel and federal, state, local, or airport law-enforcement agencies Experience Requirements Transportation Security Inspector positions generally require specialized experience at the level stated in the official vacancy. Relevant experience may include: Conducting regulatory inspections, compliance reviews, investigations, or security assessments Interpreting and applying transportation-security laws, regulations, policies, or procedures Evaluating security programs, operational controls, or corrective-action plans Identifying security vulnerabilities or violations of established standards Documenting inspection findings and preparing technical or investigative reports Communicating regulatory requirements to regulated organizations and industry stakeholders The required amount and level of experience depend on the pay band and inspector specialty. Do not assume that general airport-security experience automatically satisfies the specialized-experience requirement. Education Requirements A particular degree may not be required unless the vacancy announcement specifically identifies an education requirement or permits education to substitute for part of the required experience. Applicants relying on education may need to provide transcripts from an accredited institution. Use the exact education and experience language from the active vacancy when completing this section. Conditions of Employment Must be a U.S. citizen or U.S. national Must successfully complete the required background investigation Must obtain and maintain the security clearance specified in the vacancy May be required to pass pre-employment and post-employment drug testing Must complete required Transportation Security Inspector and specialty-specific training May be required to possess and maintain a valid driver's license Must be available for required travel, including occasional overnight assignments May need to work changing or nonstandard hours during inspections, incidents, or emergency responses May be required to file a confidential financial disclosure report Conditions vary by assignment. Only include drug testing, financial disclosure, medical standards, or a specific clearance when the official vacancy lists that requirement. Schedule and Work Environment Transportation Security Inspectors divide their time between office-based review and field activity. Work may take place at airports, airline facilities, cargo operations, restricted areas, or other regulated transportation locations. The position may involve driving, walking through large facilities, standing during inspections, accessing controlled areas, and working around aircraft, vehicles, machinery, or active transportation operations. Travel and uncommon work hours may be required when responding to incidents or completing inspections outside normal operating periods. Federal Benefits Eligible employees may receive a federal benefits package that includes health, dental, vision, life, and long-term-care insurance; paid leave and federal holidays; a federal retirement program; participation in the Thrift Savings Plan; flexible spending accounts; and employee-assistance resources. Additional benefits may include tuition assistance, transportation subsidies, wellness programs, training, and professional-development opportunities. Eligibility depends on the appointment type, work schedule, and terms of the individual vacancy. How to Apply Read the complete official vacancy before submitting an application. Confirm the inspector specialty, duty location, eligibility group, pay band, specialized-experience requirement, security clearance, travel percentage, supporting documents, and closing date. Prepare for the TSA Inspector Hiring Process Our independent preparation program helps applicants understand the federal hiring process, present their specialized experience clearly, and prepare for the evaluations associated with the vacancy. Step-by-step application guidance Federal resume and specialized-experience support USA Hire assessment preparation when required Behavioral and technical interview practice Transportation-security terminology and compliance concepts Current TSA vacancy-search tools Apply For Transportation Security Inspector Today/strong> CD

SENIOR MANAGER, BUSINESS SYSTEMS & TECHNOLOGY Remove friction from work. Engineer better processes. Scale business capability through secure, intelligent technology. CUSTOM CONTROL SENSORS, LLC PHOENIX, AZ FULL TIME EXEMPT WHO WE ARE Custom Control Sensors (CCS) designs and manufactures high-reliability pressure, temperature and liquid flow switches and sensors for aerospace, defense and industrial markets. Since 1957, our products have incorporated the DUAL-SNAP action disc spring principle pioneered by CCS. We serve customers whose expectations for product quality, delivery and regulatory compliance are exacting. CCS operates under ISO 9001 and AS9100 quality systems and applicable FAA PMA, product and export-control requirements WHO YOU ARE You are an enterprise-minded leader who understands business processes as well as technology. You make work easier for operators, managers and executives by simplifying how the business operates, then selecting the right combination of people, systems, bots, agents and equipment to scale. WHY THIS ROLE MATTERS CCS needs integrated business systems that remove friction, increase capacity and protect capital efficiency. This role unites end-to-end Process Engineering, ERP/IT, data, analytics and automation so each improvement advances a measurable business outcome rather than simply deploying another tool. WHAT YOU WILL OWN End-to-end Process Engineering: Define outcomes, map and simplify workflows, remove unnecessary steps, then decide which work belongs with a person, existing system, workflow bot, AI agent or robot. Scalable process design: Design for efficiency, usability, controls, exceptions and growth without proportional overhead; establish measures and clear business-process ownership. Enterprise business systems: Own SyteLine, email, reporting and other platforms: administration, access, configuration, integration, change control, reliability and recovery. Data architecture and decision support: Develop trusted source definitions, pipelines, warehousing, dashboards and predictive analytics with role-based access and approved AI/agent permissions. IT resilience and information protection: Ensure service levels, vendor performance, backups, recovery testing and appropriate cybersecurity, export-control and CUI/CMMC safeguards. Intelligent and physical automation: Evaluate workflow automation, machine monitoring, sensors, CMM integrations, cobots and digital instructions; validate safety, quality, adoption and realized value. Technology and process portfolio: Prioritize a funded roadmap with a business case, owner, cost, risks, milestones and measurable return for every major investment; eliminate single-person dependencies. Operating rhythm and adoption: Escalate urgent outages daily, resolve project blockers weekly and review investment, process and security performance monthly; verify employee adoption. WHAT YOU WILL SUPPORT Work through strong partnerships while preserving clear functional decision authority. Functional business outcomes: Sales, Planning, Purchasing, Quality, HR, Finance and other leaders own operating policies, decisions, data meaning and KPIs. This role designs and delivers enabling processes and tools. Plant execution: Plant Managers own labor, production, productivity and shipments; Process Engineering improves methods and automation through approved plant, Safety and Quality processes. Design and product authority: Engineering retains product-design approval. Authorized Quality personnel own inspection, product acceptance, release and disposition. Capital, information and compliance: Finance and executives approve investment and business tradeoffs. Process/data owners authorize business access needs; designated compliance authorities define restrictions this role implements. WHAT SUCCESS LOOKS LIKE First 90 days: Assess enterprise-system reliability, data security, employee friction, process maturity and manual work. Publish a prioritized roadmap and a measurable first improvement or automation business case. First year: Deploy governed reporting, improve IT/ERP reliability and redesign priority end-to-end processes. Verify adoption and actual savings in effort, cycle time, capacity, quality or cash flow. Beyond: Make scalable Process Engineering and secure business technology an enduring CCS capability, allowing growth without equivalent increases in labor, complexity or operating risk. HOW PERFORMANCE IS MEASURED Performance is reviewed against the separate Right Seat Framework Performance Scorecard. Outcomes include reduced process friction, verified automation/technology value, IT/ERP reliability, governed data and secure access, and roadmap adoption. Every project has a baseline and owner; functional leaders retain their operating KPIs. ROLE COMPETENCIES Successful performance includes these six role-specific competencies. CCS Standards, Safety and Compliance remain company-wide expectations. Competency Successful performance looks like Enterprise Process Architecture Designs end-to-end processes around business outcomes and removes waste first. Human / Bot / Agent Judgment Selects people, existing software, AI agents and robotics with good controls. Enterprise Systems & Data Connects ERP, email, analytics and workflow into usable, governed systems. Security & Resilience Protects access and continuity while keeping technology dependable. Capital & Business Value Evaluates investments by realized capacity, cost, quality and cash benefits. Change & Team Leadership Builds capable specialists and delivers employee adoption at scale. WHAT YOU BRING Significant leadership experience delivering enterprise systems, IT, operational transformation or cross-functional Process Engineering in manufacturing or another complex operating business.Demonstrated ability to design end-to-end processes that improve business outcomes and thoughtfully allocate work across humans, software, automation and AI.Working command of ERP/MRP (SyteLine preferred), integrations, data architecture, cyber/access controls, computer programming, business continuity and reporting.Exposure to manufacturing process engineering, shop-floor connectivity (digital factory), CMMs, sensing and physical automation in an Aerospace Defense environment strongly preferred; expertise may sit in the specialists led.Proven business-case, vendor, budget, risk, change-management and cross-functional leadership skills.Bachelor's degree in Engineering, Information Systems, Operations or related field preferred; MBA, Lean / Six Sigma and relevant technical credentials valued. Ability to meet applicable export-control access requirements. PHYSICAL REQUIREMENTS This role includes office and manufacturing environments, including walking production areas, standing, sitting and computer work. Reasonable accommodations may be made for qualified individuals. EQUAL EMPLOYMENT OPPORTUNITY CCS is an Equal Opportunity Employer. Employment decisions are made without unlawful discrimination under applicable law. PI949a87926ff7-6380

Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and 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 Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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- or via email at . 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 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and 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 Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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- or via email at . 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 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).