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Job Title: Surgical Technician Location: Jersey City Medical Center Department Name: Labor & Delivery Req #: 0000258439 Status: Hourly Shift: Night Pay Range: $31.41 - $38.42 per hour Pay Transparency: The above reflects the anticipated hourly wage range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Surgical Technologist – RWJBarnabas Health At RWJBarnabas Health, Surgical Technologist become part of a highly collaborative perioperative team where precision, teamwork, and patient-centered care support exceptional surgical outcomes. This Surgical Technologist role offers opportunities for professional growth, advanced clinical experience, and a culture committed to safety, innovation, and continuous improvement. As a Surgical Technician, you will play an essential role in preparing the operating room, supporting surgeons and perioperative nurses during procedures, and helping ensure every patient receives safe, efficient, and high-quality surgical care. Joining RWJBarnabas Health means joining a community where every Surgical Technician is encouraged to grow, contribute, and make a meaningful impact. A typical day for a Surgical Technologist may include: • Preparing operating rooms by ensuring surgical instruments, equipment, and sterile supplies are organized, available, and ready for scheduled procedures, • Collaborating with the perioperative registered nurse to provide individualized, age-appropriate care for patients throughout the surgical experience, • Maintaining a sterile field and adhering to infection prevention, aseptic technique, and organizational policies to promote safe surgical outcomes, • Anticipating the surgeon’s instrumentation and equipment needs during procedures while responding efficiently to changes in surgical conditions, • Assisting the surgical team during routine and complex procedures by handling instruments, supplies, and equipment with precision and attention to detail, • Monitoring the surgical environment to help ensure patients' physiologic responses remain appropriate throughout the perioperative experience, • Supporting a safe operating room environment by following established risk reduction practices, including fire prevention protocols and safety procedures related to laser and electrosurgical equipment, • Collaborating closely with surgeons, anesthesia providers, registered nurses, and other members of the perioperative team to deliver coordinated, patient-centered care, • Maintaining accurate preparation, organization, and turnover of surgical equipment to promote efficient workflow and readiness between procedures, • Participating in departmental education, orientation, competency validation, and quality improvement initiatives that support ongoing clinical excellence. This role might be for you if: • You thrive in a fast-paced surgical environment where organization and attention to detail are essential, • You remain calm, adaptable, and focused during complex or changing surgical procedures, • Strong teamwork and communication skills help you collaborate effectively with surgeons, nurses, anesthesia providers, and other perioperative professionals, • You anticipate the needs of the surgical team and take pride in supporting efficient, high-quality surgical care, • Patient safety, sterile technique, and quality outcomes guide your daily work, • You value accountability, professionalism, and continuous learning in your clinical practice, • You enjoy contributing to a collaborative culture focused on delivering exceptional patient care To be considered for this Surgical Technologist opportunity, you are passionate about supporting safe, high-quality surgical care through technical expertise and collaborative teamwork. You have successfully completed a nationally or regionally accredited Surgical Technology program or hold and maintain a Certified Surgical Technologist (CST) credential through the National Board of Surgical Technology and Surgical Assisting (NBSTSA) or another nationally recognized credentialing organization. Current American Heart Association Basic Life Support (BLS) certification is required, along with successful completion of departmental orientation and competency requirements. You are committed to maintaining the highest standards of patient safety, surgical excellence, and professional practice while contributing to an outstanding perioperative team.

Role: PeopleSoft HCM / Benefits Functional Consultant \n Location: Manhattan, NY - Onsite \n Duration: Long-term \n \n Position Summary \n We are seeking an experienced PeopleSoft HCM / Benefits Functional Consultant to support a PeopleSoft HCM 9.2 implementation for a financial services client in Manhattan. The consultant will lead functional activities related to Core HR, Benefits Administration, and related HCM processes, working closely with HR leadership, benefits administrators, technical teams, and project stakeholders. \n Key Responsibilities \n ·Lead functional design, configuration, testing, and implementation activities for PeopleSoft HCM 9.2 Core HR and Benefits Administration. \n ·Conduct requirements-gathering sessions and facilitate workshops with HR and Benefits stakeholders. \n ·Configure and support PeopleSoft HR, Base Benefits, Benefits Administration, and eBenefits functionality. \n ·Define benefits eligibility rules, event processing, enrollment configurations, and benefits program structures. \n ·Support annual open enrollment, life events, and benefits-related business processes. \n ·Develop functional design documents, configuration workbooks, business process flows, and testing scenarios. \n ·Collaborate with technical developers on interfaces, customizations, reports, and data conversion requirements. \n ·Support integration between Benefits Administration, Payroll, and external benefits providers. \n ·Execute system integration testing, user acceptance testing, and defect resolution. \n ·Assist with data validation, conversion, cutover planning, and post-production stabilization. \n ·Provide guidance on PeopleSoft delivered functionality and recommend opportunities to streamline business processes. \n Required Qualifications \n ·15+ years of PeopleSoft HCM functional consulting experience. \n ·Multiple full-lifecycle PeopleSoft HCM implementations, including version 9.2. \n ·Strong functional expertise in Core HR, Base Benefits, and Benefits Administration. \n ·Experience with eBenefits, enrollment processing, eligibility rules, and benefits event management. \n ·Understanding of benefits deductions and integration with North American Payroll. \n ·Experience preparing functional specifications, test scripts, and implementation documentation. \n ·Excellent communication and client-facing consulting skills. \n ·Ability to work onsite in Manhattan. \n Preferred Qualifications \n ·Experience supporting financial services or other highly regulated organizations. \n ·Familiarity with PeopleSoft Fluid applications, Employee Self Service, and Manager Self Service. \n ·Experience with Oracle PeopleSoft Update Manager (PUM). \n ·Knowledge of benefits carrier interfaces, ACA reporting, and regulatory requirements.

Machine Learning Engineer 5\n \n \n 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. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 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\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n 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. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 - Finance Tech\n \n \n 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. \n \n Finance Tech is responsible for transforming Capital One's financial engine into the most trusted, nimble, and insightful in the industry. Our core mission is to engineer outcomes that strategically enable the Finance organization and the broader Enterprise to remain efficient. This mission is driven by four technical and functional pillars: Forecasting & Resiliency, providing advanced decision support; Treasury & Trade managing sophisticated cash and investment lifecycles; and Accounting & Reporting, ensuring the integrity of our general ledger and regulatory commitments. Powering these pillars are our Data and Core capabilities, which manage the orchestration, sourcing, and pipelines for critical financial data products. \n \n By defining the next generation of financial technology, we ensure that every business process is backed by high fidelity tracking and reporting. Together, we are not just supporting the bottom line - we are building a strategic enabler that operates as a world class financial engine. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • 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\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n 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). \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter. This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today. Driving Technology Adoption, Consumption, and Growth Lumen is evolving how we sell by bringing deeper technology fluency, consultative discovery, and business-outcome conversations into every customer engagement. Our Acceleration and Growth team offers multiple distinct opportunities to help shape this journey while building your own expertise as a technology-focused seller. This is an opportunity to be part of meaningful change - help define how we engage, advise, and support customers as their technology needs become more complex. If you are energized by building trusted relationships, shaping a more consultative customer experience, and making a visible impact as our sales approach evolves, this role offers the chance to help lead that change. As an Account Director Senior Large Enterprise Forward Deployed, you will own growth across large, important, and potentially global enterprise accounts by translating customer business priorities into measurable outcomes enabled by Lumen’s network, cloud, security, managed services, and orchestration portfolio. As the Account Director Senior, you operate independently from acquisition through modernization, activation, adoption, consumption, and expansion. You set account strategy, shape and negotiate commercial terms, mobilize cross-functional resources, and advise executive stakeholders. Your broad command of customer economics, markets, technology, and complex buying environments makes you a trusted expert to customers and colleagues. • Own and execute a self-directed strategy for a portfolio of large, important, or global accounts, grounded in each customer’s business model, financial priorities, operating risks, technology estate, market context, and competitive position., • Anticipate needs before they become formal requirements; develop points of view and use cases that connect modernization to growth, efficiency, resilience, risk reduction, and innovation., • Build qualified pipeline through executive relationships, account intelligence, focused prospecting, partners, marketing, and business development., • Prioritize investments and resources based on customer potential, solution fit, buying signals, competitive dynamics, and revenue opportunity., • Lead discovery across executive, business, technical, operational, and financial stakeholders to define the problem, value at stake, decision path, and urgency to act., • Integrate relevant capabilities across Lumen and its partners into a coherent outcome; direct architects and specialists through clear commercial and customer objectives while they own technical design and validation., • Build quantified business cases covering expected value, investment, implementation requirements, risk, and cost of inaction., • Develop customers’ and colleagues’ understanding of business, market, and solution tradeoffs; influence executive sponsors, economic buyers, technical decision makers, and internal champions., • Own new-logo acquisition and expansion against assigned sales, revenue, and consumption goals., • Lead complex, high-value sales cycles through qualification, validation, pricing, negotiation, procurement, legal review, and close., • Exercise substantial commercial discretion—and, within company governance, full authority to shape and negotiate product, service, pricing, and contract terms., • Establish mutual action plans, decision criteria, stakeholder commitments, milestones, and activation dates; surface risks and dependencies early., • Plan and manage the account resource model, mobilizing sales, technical, delivery, customer success, channel, and partner teams without relying on formal authority., • Retain commercial ownership through implementation and activation; hold downstream partners accountable for customer readiness, delivery commitments, adoption, and value realization., • Use consumption data and customer signals to remove adoption barriers, address underutilization, anticipate revenue risk, and identify expansion across workloads, locations, and business units., • Convert demonstrated value into modernization, additional use cases, broader executive relationships, recurring revenue, and sustained growth., • Serve as a recognized expert across business, financial, market, customer, and portfolio domains; coach peers and contribute account insight that improves sales approaches and solution fit., • Activate channel and technology partners through joint targeting, account planning, and selling, with clear ownership and measurable outcomes., • Use AI, agents, and automated workflows to improve research, prioritization, outreach, follow-through, and opportunity management; validate outputs and apply sound judgment., • Maintain rigorous qualification, stakeholder maps, next steps, forecasts, and CRM records., • 8+ years of enterprise sales experience and sustained quota achievement, with evidence of performance at the scope and complexity described above., • Success acquiring and expanding large, important, or global enterprise accounts and closing complex deals with multimillion-dollar total contract value., • Broad expertise across customer business and financial drivers, enterprise technology markets, complex buying environments, and relevant solutions such as networking, cloud, security, managed services, or enterprise software., • Demonstrated authority and judgment in structuring and negotiating complex product, service, pricing, and contract terms with senior customer leaders., • Technical fluency to lead credible discovery, recognize solution opportunities, and direct architects and specialists effectively., • Experience planning account strategy independently and orchestrating colleagues and partners across the full customer lifecycle without formal authority., • Understanding of recurring-revenue and consumption-based models, including how activation, adoption, and usage create customer value and revenue growth., • Practical experience using AI and automation to improve sales execution, with disciplined validation of outputs., • Executive presence, sound judgment, and an ownership mindset; you make decisions, surface risk early, give direct feedback, and take responsibility for outcomes. This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges $126,518 - $168,683 in these states: FL GA PA $132,847 - $177,122 in these states: NC $139,166 - $185,552 in these states:DC MA NJ NY VA Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: _ _ #projectvelocity Requisition #: 344252 Life at Lumen Life at Lumen is human and connected, even in a fast moving, AI‑focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win. To learn more about Life at Lumen and how we live the Lumen 8, please visit: _ Background Screening If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our _. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Employment Opportunities We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. Privacy Notice Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data. To review Lumen’s Global Employment Applicant and Talent Community Privacy Notice, please visit: _ Disclaimer The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Applied Researcher 5 (AI Foundations: Evaluation and Agentic Workflows)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • Behavioral Models\n \n, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)\n, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n, • Worked on scaling graph models to greater than 50m nodes \n, • Experience with large scale deep learning based recommender systems \n, • Experience with production real-time and streaming environments \n, • Contributions to common open source frameworks (pytorch-geometric, DGL) \n, • Proposed new methods for inference or representation learning on graphs or sequences \n, • Worked datasets with 100m+ users\n \n, • Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Applied Researcher 5\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Applied Researcher 4\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Purchase Order Coordinator \n Position Type: Full Time/Onsite \n Salary Range: 50-60K \n Job Department: Frames \n \n ESSENTIAL DUTIES AND RESPONSIBILITIES \n We are seeking an experienced, detail-oriented Purchase Order Coordinator to manage the full purchase order lifecycle and keep style, cost, and order data accurate across our systems. \n\n • Oversee the creation, maintenance, and tracking of purchase orders from issuance through delivery and close-out.\n, • Manage style master data, cost sheets, and PO details (pricing, quantities, delivery dates, terms) in AIMS and related systems.\n, • Serve as the main point of contact for vendors and factories on PO confirmations, revisions, and delivery schedules.\n, • Monitor open orders, flag potential delays or discrepancies, and work with internal teams to resolve issues proactively.\n, • Coordinate with internal teams to keep order and cost information aligned.\n, • Prepare and maintain regular reports on open orders, order status, and key PO metrics.\n, • Identify opportunities to improve PO processes, data quality, and workflow efficiency.\n, • Perform related duties as assigned.\n\n \n COMPETENCIES \n\n • Advanced proficiency in Microsoft Excel (VLOOKUP/XLOOKUP, pivot tables, data validation).\n, • Hands-on experience with purchase order or ERP systems; AIMS experience strongly preferred.\n, • Strong attention to detail with the ability to spot and resolve data discrepancies.\n, • Excellent communication skills for working with vendors and cross-functional teams.\n, • Strong time management and ability to prioritize multiple deadlines.\n, • Ability to guide and support junior team members.\n\n \n EDUCATION AND EXPERIENCE \n Associate’s or Bachelor’s degree in Business, Supply Chain, or a related field preferred. 2+ years of experience in purchase order management, production coordination, or a related role, ideally in apparel or consumer products.

Applied Researcher 4 (AI Foundations: Recommendation Systems)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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\n \n \n 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. \n \n 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. \n What You’ll Do: \n\n • 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:\n, • 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\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • 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\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 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.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 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.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n 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). \n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

\n Job Title: Quality & Patient Safety Specialist \n Location: New York, NY 10065 (Onsite) \n Duration: 13 Weeks \n Start Date: December 14, 2026 \n Schedule: Monday–Friday, 9:00 AM–5:00 PM \n Hours: 40 hours/week \n \n Job Summary \n We are seeking an experienced Quality & Patient Safety Specialist to support healthcare quality improvement initiatives, patient safety programs, regulatory compliance, and clinical performance improvement. \n The ideal candidate will work closely with clinical department leaders, physicians, nursing leadership, pharmacy, and hospital administration to monitor quality performance, investigate adverse events, identify improvement opportunities, and implement best practices to enhance patient safety and clinical outcomes. \n Key Responsibilities \n\n • Partner with clinical department leaders to ensure compliance with healthcare quality standards and patient safety best practices.\n, • Develop and support departmental and organization-wide quality improvement goals.\n, • Monitor and track Key Performance Indicators (KPIs) related to clinical quality and patient safety.\n, • Conduct daily adverse event reviews to determine the need for escalation, investigation, and external reporting.\n, • Facilitate Root Cause Analysis (RCA), including event investigations, literature reviews, presentations, and regulatory documentation.\n, • Collaborate with clinical leadership to develop and implement corrective action plans.\n, • Support quality committees and participate in patient safety meetings.\n, • Work with data analytics teams to validate quality reports, benchmarking data, and clinical performance metrics.\n, • Analyze quality data to identify performance gaps and recommend improvement strategies.\n, • Lead quality improvement projects using Lean, PDCA, FMEA, and other process improvement methodologies.\n, • Establish project objectives, timelines, deliverables, and success metrics.\n, • Support regulatory readiness, external surveys, and validation tracers.\n, • Educate hospital staff on National Patient Safety Goals and applicable clinical standards.\n\n Required Qualifications \n\n • Experience in hospital quality management, patient safety, or clinical quality improvement.\n, • Strong knowledge of Root Cause Analysis (RCA) and adverse event investigations.\n, • Experience with healthcare quality metrics, KPI monitoring, and data analysis.\n, • Knowledge of regulatory requirements and healthcare accreditation standards.\n, • Experience with continuous quality improvement methodologies such as Lean, PDCA, and FMEA.\n, • Strong communication, analytical, project management, and stakeholder management skills.\n, • Bachelor's degree in Healthcare Administration, Nursing, Health Information Management, or a related field preferred.\n\n Preferred Qualifications \n\n • Experience working in an acute care hospital environment.\n, • Knowledge of Joint Commission standards and National Patient Safety Goals.\n, • Experience with regulatory reporting and quality benchmarking.\n, • CPHQ, CPPS, or Lean Six Sigma certification preferred.\n, • Experience presenting quality improvement findings to senior hospital leadership.\n\n Ideal Candidate Job Titles \n\n • Quality & Patient Safety Specialist\n, • Patient Safety Specialist\n, • Clinical Quality Specialist\n, • Quality Improvement Specialist\n, • Quality Management Coordinator\n, • Patient Safety Officer\n, • Clinical Quality Analyst\n, • Quality Assurance Specialist\n\n To Apply: Interested candidates can share their updated resume and contact details for consideration. \n Pride Global and its affiliates offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. \n Equal Employment Opportunity \n Pride Global and its affiliates are an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. \n Fair Chance Employment \n Pride Global and its affiliates are a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. \n Accommodations \n We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. \n Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation \n

Job Description Our ambition is to evolve internet infrastructure into a utility by building a product that caters to stakeholders from Customers, ISPs, Partners, and Technicians. Every utility starts with an installation – and that’s where you come in. The Technician Operations team is the live backbone of Meter’s deployment engine, ensuring that we deliver critical infrastructure on time, to standard, and with zero friction for our partners and customers. A Network is most vulnerable during deployment - and each stakeholder plays an essential role to ensure it’s built as performance and resilient critical infrastructure. Meter dedicates a team to each stakeholder, ensuring our product and work empowers stakeholders to do operationally and technically sound work at scale. In this role, you’ll build Meter for technicians. By guiding field technicians in real time, troubleshooting issues as they happen, and building the systems and tools that make installations effortless, you’ll ensure our product works where it matters most: in the field. What success looks like Your fingerprints will be on every installation, shaping the technician experience and driving the scale Meter needs to reach utility status. In your first six months, you will: Keep projects on track: Deliver >90% of installations on time by owning live technician support and unblocking issues in real time. Raise quality standards: Reduce rework rates <5% and ensure compliance with installation artifacts and validation checks. Accelerate installs: Partner with Operations Engineering to roll out automated technician tooling that cuts install validation times by 30%. What your day-to-day will look like From day one, you’ll be in the center of the action. A typical week might include: Running live installation support shifts - answering technician questions, guiding them through steps, and escalating blockers. Troubleshooting networking and hardware issues in real time, logging root causes, and ensuring fixes stick. Documenting progress across active installs and pushing updates to project managers and internal stakeholders. Spotting recurring issues and working with Operations Engineering to design new playbooks, tools, or product changes. Translating technician feedback into product improvements, ensuring our hardware and software are purpose-built for the field. Where you can take this role In year two, you could design automated validation tools that remove manual install steps, lead the rollout of new technician onboarding programs that cut ramp time in half, and shape product improvements that fundamentally change how installations are done in the industry. Your work will directly define how Meter scales installation quality and speed worldwide.

Company Description VanSpeag Group is a specialized staffing and consulting firm dedicated to manufacturing operations. With over 30 years of hands-on plant floor experience, the team understands the practical demands of modern production environments. VanSpeag Group focuses on building high-performing teams that consistently deliver strong results in Safety, Quality, Delivery, Cost, and Culture. The firm partners closely with manufacturers to align technical talent with operational goals and long-term business growth. \n The Electromagnetic Engineer will lead the design, analysis, and optimization of magnetic structures and resonant systems for near-field wireless power transfer applications. This role focuses on high-current, high-Q magnetic design rather than traditional RF antenna development. The ideal candidate has hands-on experience with power magnetics, including inductors, transformers, resonant structures, and wireless power systems operating in the low MHz range. \n This position requires a practical engineer capable of bridging EM theory with real-world implementation. Responsibilities include high-Q coil development, magnetic modeling, parasitic and thermal analysis, coupling optimization, shielding strategies, and integration into compact electromechanical systems. Candidates should understand challenges associated with operating magnetic and power electronic systems at low MHz frequencies, including skin and proximity effects, EMI/EMC considerations, and material selection. \n This role is highly technical and research-oriented, with opportunities to directly influence the next generation of wireless power technology. The Electromagnetic Engineer will contribute to advancing proprietary high-Q resonant coil architectures and help push the limits of efficiency, alignment tolerance, power density, and system scalability. \n Competitive compensation includes a base salary, healthcare benefits, and stock options in the company. \n The primary responsibilities of the Electromagnetic Engineer are as follows: \n\n • Design and optimize high-Q resonant coil systems for wireless power transfer applications operating in the low MHz range (6.78MHz and similar frequencies)\n, • Develop custom magnetic structures including inductors, transformers, resonant coils, and shielding solutions for high power density systems\n, • Perform electromagnetic analysis focused on coupling, parasitics, losses, thermal effects, and efficiency optimization under real-world operating conditions\n, • Collaborate with power electronics engineers on system-level integration\n, • Design, prototype, test, and validate magnetic components and wireless power assemblies in laboratory environments\n, • Improve coil architectures with emphasis on quality factor (Q), alignment tolerance, manufacturability, thermal performance, and power transfer efficiency\n, • Evaluate magnetic materials, conductor technologies, ferrite structures, and packaging approaches for compact wireless power systems\n, • Support EMC/EMI analysis and mitigation strategies\n, • Work cross-functionally with mechanical, systems, and manufacturing teams to transition designs from prototype to production\nRequirementsQualifications Required\n\n, • Master’s Degree in Electrical Engineering\n, • 3+ years of full-time experience in magnetics design or wireless power applications\n, • Strong experience modeling and validating magnetic components and resonant structures using tools such as Ansys Maxwell, CST, or equivalent\n, • Hands-on experience designing, prototyping, testing, and manufacturing custom magnetic components\n, • Experience designing planar magnetics, inductors, transformers, or high-Q coil systems\n, • Understanding of skin effect, proximity effect, parasitic behavior, and thermal considerations in high-frequency magnetic systems\n, • Hands-on laboratory debugging and hardware validation experience required\n, • Excellent oral and written communication\n, • US Citizen or US Permanent Resident\n, • Ability to operate in a fast-paced environment, make effective and timely decisions, solve problems, and facilitate organizational and procedural changes\n, • Passion for advancing next-generation wireless power technologies\nQualifications Preferred \n\n, • PhD in Electrical Engineering\n, • Prior experience in automotive, power tools, or aerospace industries\n, • Prior experience in high-power density applications\n, • Prior experience leading other engineering team members\n, • Prior experience at a startup\n\n

Job Description About Mantis We help organizations improve how their buildings perform by bringing together energy, facility operations, and sustainability into one connected approach. At Mantis, our teams work across the full lifecycle of a facility—from planning and design to field execution and long-term asset management—across commercial and industrial portfolios, data centers, and complex mechanical systems. Our work spans four core areas: Building Controls, Energy Efficiency, Energy Advisory, and Facility Management—covering HVAC/mechanical optimization, BMS/BAS and EPMS controls, lighting system upgrades, energy brokerage, roofing and building envelope assessments, construction management, and more. Whether you’re in sales, engineering, construction/project management, field operations, corporate, or technology, you’ll play a role in delivering these solutions and helping clients improve facility performance. Summary BMS Service Technician II diagnoses and resolves complex system issues in building management systems across commercial and mission-critical environments. This role ensures systems run reliably by completing service work from start to finish, reducing repeat issues, and maintaining consistent service quality. This role requires overnight travel for service projects.Responsibilities • Independently troubleshoot, service, and commission BMS systems in mission-critical environments., • Diagnose and resolve hardware, software, and networked control system issues., • Execute service tickets from assignment through full resolution within SLA timelines., • Perform system upgrades, backups, restores, and configuration changes., • Execute commissioning and startup activities, including validation of system performance., • Install and configure control system components, including sensors, controllers, and panels., • Read and interpret control drawings to identify issues and implement solutions.Minimum Qualifications, • 3-5+ years of BMS, building automation, or HVAC controls experience, • Proficiency with Tridium Niagara (N4) or equivalent controls systems, • Strong troubleshooting capability across control systems (hardware, software, and networked systems)Working Conditions/Physical Requirements Work environment:, • Field-based role across commercial buildings, active construction sites, and mission-critical facilities. Physical requirements:, • Standing, walking, climbing ladders, and working in mechanical spaces, • Lifting tools and equipment (up to ~50 lbs.), • Working in confined or high-access environments as needed Schedule expectations:, • Standard work hours with on-call rotation and emergency response requirements, • Travel required based on service and project needs Disclaimers This position description describes the general nature and level of work expected for this role. It is not intended to be a complete list of all duties, responsibilities, or qualifications. Responsibilities may change based on business needs, client demands, system changes, or economic conditions. Employees are expected to perform other job-related duties as assigned. Base Salary Note: Employees are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position. What else can we offer you? We offer a fantastic lineup of benefits, including Medical, Dental, Vision, FSA, HSA, 401k Matching, Paid Vacation, Paid Sick, Paid Holidays, Paid Parental Leave, Paid Short Term & Long Term Disability, Tuition Reimbursement, and a flexible hybrid work schedule (for office-based employees). Working at Mantis also brings tremendous professional development opportunities that allow you to make a real impact on both the company and your career! Not sure you meet every single requirement? Studies show that women and individuals from underrepresented groups often hesitate to apply unless they check every box. At Mantis, we’re committed to building an inclusive and equitable team—so if this role excites you, we’d love to hear from you, even if your experience doesn’t match every single qualification. Mantis Innovation is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role: Senior Automation Tester with Life & Annuity domain Experience \n Locations: Austin, TX / New York, NY \n Fulltime \n \n Job Description \n Must Have Technical/Functional Skills \n 6+ years of hands-on automation experience using Playwright, Selenium, Tosca, or equivalent frameworks with Java, TypeScript, Python, or C#. \n Strong experience in UI, REST API, integration and regression automation using tools such as Postman, Rest Assured, Karate or SoapUI. \n Working knowledge of SQL-based backend validation, test-data management, Git, and CI/CD integration using GitLab, Jenkins or Azure DevOps. \n Experience with reusable automation frameworks, defect management, execution reporting and quality-engineering practices. \n Life Insurance, Annuity, policy administration or regulated financial-services testing experience is preferred. \n \n Roles & Responsibilities \n \n Design, develop and maintain reusable UI and API automation frameworks for functional, integration and regression testing. \n Automate critical Life & Annuity workflows such as new business, underwriting, policy servicing, premium processing and claims. \n Integrate automation suites into CI/CD pipelines and analyze failures across application, environment, test-data and script layers. \n Perform SQL validation, manage test data, track defects and publish automation coverage and release-readiness reports. \n Coordinate with Business Analysts, developers, DevOps and onsite/offshore QA teams during Agile delivery and production stabilization. \n \n Generic Managerial Skills, If any \n \n Strong ownership, analytical thinking, problem-solving and customer-facing communication. \n Ability to estimate automation work, prioritize high-risk scenarios and report blockers or release-quality concerns. \n Experience mentoring junior engineers and conducting automation-framework or code reviews. \n Ability to coordinate effectively across onsite and offshore teams in an Agile delivery model. \n Willingness to support critical releases, production validation and US business-hour coordination when required. \n

Tax Term : W2 only \n Job Title: Sr. Core Java Developer w/d Market Risk Exp or FRTB Exp is must \n Location: New York / New Jersey – 3 Days onsite Role \n Long Term project \n \n \n Job Description: Developers supporting the technology delivery of the FRTB regulatory program, including risk-data processing, calculation pipelines, data validation, and regulatory controls. \n \n Core technical skills: \n\n • Java: Strong development skills for enterprise applications, APIs, business logic, and integration with existing risk platforms.\n, • Core Java: candidate should have very strong experience in multithreading, data structure and algorithm and concurrency.\n, • Apache Spark: Distributed data processing, large-scale risk-data transformations, aggregation, and performance optimization.\n, • Python (optional): Data analysis, automation, validation scripts, testing, and quantitative-data processing.\n, • Snowflake or Databricks: Experience with at least one platform for data engineering, SQL transformations, data pipelines, and large-scale analytical workloads. Domain requirement\n, • Prior experience in Market Risk technology within an investment bank or capital-markets environment.\n\n

Applied Researcher 4 (AI Safety & Multimodal)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • Experience with red teaming and deploying safety guardrails for multimodal systems, including VLMs, MLLMs, and MM-RAG architectures\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n\n • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience in AI Safety, LLM safety alignment, Guardrail development\n, • Safety and vulnerability assessment of Multi-modal application using image/video plus text modality\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Applied Researcher 4 (AI Foundations, LLM Customization and Finetuning)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Data Preparation\n \n, • Publications studying tokenization, data quality, dataset curation, or labeling \n, • Contribution to a major open source corpus \n, • Contribution to open source libraries for data quality, dataset curation, or labeling\n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Applied Researcher 5 (AI Foundations - LLM, Optimization and Finetuning)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview:\n\n\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Job Description Japanese IT company seeks a Japanese Bilingual IT Business Analyst - FX Pricing (Application Support) Location: New York (Grand Central Area) or Jersey City, NJ Hybrid: 2–3 days onsite per week Job Overview: This role is based in New York, US. Visa/Work Permit could be offered to eligible candidates. Our client, a major Japanese financial institution, is seeking a Business Analyst to support FX trading systems and related business applications. The position offers the opportunity to work in a global environment and collaborate with international teams to enhance system functionality and operational efficiency. Job Responsibilities: • Support the FX Trading and Sales desks by facilitating front-office FX pricing workflows and coordinating interactions with other market-related business systems., • Investigate and resolve production incidents, ensuring timely communication and prioritization aligned with business impact., • Act as a liaison between local users and head office development teams to coordinate enhancements, troubleshoot issues, and refine system functionality., • Participate in system upgrades by conducting system validation, coordinating user testing, and ensuring smooth deployment and post-release support. Required Qualifications: • 3+ years of experience in the Global Markets domain., • 3+ years of experience in a client-facing or support role., • Strong understanding of FX products, particularly SPOT, SWAP, and Forward., • Business-level proficiency in both Japanese and English., • Experience with SQL, FIX protocols, or RESTful APIs is an advantage., • Solid experience working in Agile environments; familiarity with Kanban methodologies and JIRA is preferred., • Strong interpersonal skills with the ability to build and maintain effective working relationships., • Highly motivated, self-directed, and able to work independently as well as in team environments.

Job Description Hybrid: 2-3 days onsite in NYC Role Description: The role is for a VP level Desk Strat supporting the Interest Rate Options team, with a focus on rates-related products, pricing methodology, risk analysis, and desk workflow support. The individual will work closely with traders and other front office users, as well as Model Validation, the technology team, and Middle Office, to develop and maintain pricing tools, investigate issues, improve desk processes, and support the ongoing enhancement of analytics and infrastructure. The role requires strong technical ability, sound product and risk knowledge, and the confidence to engage directly with users and partner teams. Role Objectives: Support the options desk by developing, maintaining, and improving pricing and risk tools used in daily trading and risk management. Deliver reliable solutions across spreadsheet- and application-based workflows, troubleshoot production issues efficiently, and help ensure model changes and releases are tested and implemented in line with desk and governance standards. Contribute to the enhancement of desk infrastructure and automation to improve control, efficiency, and scalability. The individual should be comfortable speaking directly with traders, model validators, technology teams, and control functions, and be able to describe problems clearly and drive issues to resolution. Strong communication skills are essential, including the ability to gather requirements, explain technical topics in a practical way, and work effectively across teams. The role also requires effective engagement with Model Validation and other governance stakeholders when discussing model changes, controls, testing, and documentation. Qualifications and Skills: The successful candidate should have a good understanding of rates-related products, especially options, together with working knowledge of pricing methodology and risk. They should be able to analyze product behavior, understand valuation and sensitivity drivers, and apply that understanding when building or enhancing desk tools. The role is well suited to someone who has experience in a front-office pricing environment and is continuing to deepen their technical and product expertise. Relevant experience in quantitative desk strat, front-office development, or a related role supporting rates or options businesses. Good understanding of rates products, options pricing, and risk concepts is required. The candidate should be proficient in Excel and Excel VBA, with working to solid programming ability in Java and Python. They should also demonstrate strong analytical and problem-solving skills, the ability to investigate issues independently, and the judgment to balance business needs with control requirements. It is not necessary to be an expert in every programming language, but the candidate should have sufficient technical depth to contribute effectively across the desk's core tool set while continuing to grow in the role. The candidate should be proactive, user-focused, and comfortable operating in a fast-paced front-office environment. They should be able to manage multiple priorities, work across teams, and maintain a high standard of accuracy and responsiveness. Experience interacting with model governance, testing, and validation processes is highly desirable, as is the ability to communicate clearly with both technical and non-technical stakeholders.

Job Description Overview American Exchange Group is an industry leader in fashion accessory products and brand management. By facilitating distribution to major retailers internationally for their globally recognized brands, custom private label brands, and exclusive licensed brands—including footwear, tech wearables, watches, jewelry, handbags, fashion accessories, and beauty—American Exchange Group raises the bar by disrupting the status quo with value and quality, while staying at the forefront of trends. Job Title: ERP Support Specialist Job Description: We are looking for a detail-oriented ERP Support Specialist with hands-on experience with an ERP system, preferably Infor M3 and Birst. Reports to: Head of Business Systems Location: This role is 5 days a week at our NYC Headquarters Key Responsibilities: • Provide day-to-day support for ERP users, addressing inquiries and resolving issues promptly., • Assist in system configurations, upgrades, and maintenance to ensure optimal performance., • Conduct training sessions for new users and provide ongoing training for existing users., • Collaborate with IT and other departments to implement new features and enhancements., • Analyze and document user requirements and recommend system improvements., • Monitor system performance and troubleshoot any issues that arise., • Develop and maintain user guides, documentation, and FAQs., • Assist in data migration and validation processes during system updates. Qualifications: • Bachelor’s degree in Computer Science, Information Systems, or a related field., • Proven experience in ERP support or a similar role., • Understanding of ERP systems (e.g., Infor, SAP, Oracle, Microsoft Dynamics)., • Experience with Infor M3 highly desired., • Excellent problem-solving skills and attention to detail., • Strong communication and interpersonal skills., • Ability to work collaboratively in a team environment. Preferred Skills: • Experience with system integrations and data management., • Familiarity with SQL and reporting tools., • Project management experience is a plus. Salary: Salary range is $70k-$85k OUR NYC DRIVE Forged in the heart of New York City's fashion district, American Exchange Group is driven to blend fast fashion and current trends with classic styles. For more than a decade, American Exchange has been honing best-in-class fashion designs and business practices to become a market leader. This position description is not intended to be and should not be construed as an all-inclusive list of responsibilities, skills or working conditions associated with this position. While this description is intended to accurately reflect the position's activities and requirements, management reserves the right to modify, add or remove duties as necessary. The compensation package is dependent on a number of factors, including, for example, experience, education, market data, and business needs.

Director, Fund Accounting & Operations – NYC – Hybrid \n \n A growing and unique Venture Capital/Growth-Equity firm that has a longstanding history investing in the start-up community, including several successful exits, is looking for a Director, Fund Accounting & Operations to join its finance team. This is an extremely unique opportunity as this company’s business model is different than your traditional VC and financial services firm. This is a newly created senior-level opportunity for a technically strong fund accounting professional who can combine hands-on execution with high-level ownership of fund accounting, financial reporting, and investor operations. The role will work closely with senior finance leadership and cross-functional partners to ensure the accuracy, scalability, and effectiveness of the organization's fund operations. \n \n The ideal candidate will have deep experience across private fund structures and a strong understanding of partnership accounting, financial reporting, and investor operations. This person will have significant ownership over the fund accounting lifecycle while also helping modernize and improve the underlying processes and systems as the organization continues to grow. \n \n The company is based in New York City and operates on a hybrid work schedule. \n \n Responsibilities: \n\n • Own fund accounting and financial reporting across a complex portfolio of investment vehicles, including maintaining books and records, reviewing NAV packages and capital statements, and overseeing key reconciliations\n, • Manage the preparation and review of fund financial statements, including coordination of external audits and ensuring timely and accurate delivery of required materials\n, • Lead capital call and distribution processes from calculation through execution, including investor notices, allocation methodologies, validation, and coordination with banking partners\n, • Serve as a senior point of contact for investor inquiries, responding to questions related to fund activity, reporting, statements, and other requests while ensuring a high level of accuracy and service\n, • Review tax, regulatory, and compliance reporting across the fund structure, coordinating with external advisors and ensuring deliverables are accurate and completed on schedule\n, • Provide technical accounting expertise related to fund structures, new investment vehicles, changes to existing entities, and other complex accounting matters\n, • Identify opportunities to improve fund accounting and investor operations through better processes, systems, automation, and use of emerging technology\n, • Partner with senior finance and other cross-functional leaders on the development and implementation of scalable processes as the organization expands into new investment strategies and markets\n\n \n Requirements: \n\n • CPA\n, • 7+ years of experience in fund accounting and/or fund administration within private equity, venture capital, hedge funds, or a similar investment environment\n, • Strong understanding of private fund accounting, partnership accounting, and complex investment structures\n, • Demonstrated experience with NAV calculations, capital accounts, capital calls, distributions, valuations, reconciliations, and fund financial statements\n, • Experience serving as a senior reviewer and technical accounting resource rather than solely operating in a preparer capacity\n, • Proven experience managing external fund administrators, auditors, tax providers, and other third-party service providers\n, • Strong understanding of investor reporting and the broader fund administration lifecycle\n, • Experience supporting new fund launches, entity structures, or other complex accounting initiatives is highly preferred\n, • Strong attention to detail and judgment, with the ability to identify and resolve complex issues across multiple entities and stakeholders\n, • Comfortable working in a high-growth environment and taking ownership of both day-to-day execution and longer-term process improvements\n, • Demonstrated interest in leveraging technology and automation to improve the efficiency, scalability, and accuracy of finance and accounting processes\n\n \n Compensation: $180K - $220K + equity upside \n \n The above salary range represents Advice’s good faith and reasonable estimate of the possible base compensation range at the time of posting and is not reflective of the total compensation package, which may also include benefits, equity, and other non-cash incentives. \n \n Please send your resume for immediate consideration to: Ssaccoccio@adviceny.com \n \n We would like to be of assistance to you, or if you might know anyone who has an interest in these types of positions please forward them this ad. \n \n Advice Personnel \n Celebrating over 40 years as one of the premier search/staffing firms serving the New York metropolitan area \n

Job Description Technical Field Specialist will serve as the in-field coordinator of programs, both collecting data hands-on and guiding the work of less technical field operators to ensure that the operation is running smoothly and according to requirements communicated by the Field Operations Manager and Operations Lead and by the Client Program Managers and Engineers. This role offers an exciting opportunity to support leading-edge work being done at a top tier technology company. Preparation Responsibilities: • Collaborating with the Project Manager/Workflow Lead and Operations Lead on intake, documentation, staffing, and scheduling of new client pilot requests., • Writing pilot project charters., • Documenting and validating operational workflows., • Conducting in-field operator training., • Reviewing device configuration requirements (e.g., OS versions, user accounts, settings, installed apps, connectivity)., • Communicating with Operations Lead, Tools POC, QC, MIS, and Client Program Managers/Engineers for clarification and validation., • Ensuring devices are properly configured and capable of collecting and transmitting data to backend systems., • Testing, troubleshooting, and resolving device and backend setup issues before pilot start., • Performing triage and initial debugging of technical issues., • Resolving issues directly or escalating by opening and tracking bugs assigned to Client staff., • Obtaining and configuring required devices for field operators.In-Field Responsibilities:, • Conducting trial runs to validate device performance and backend connectivity., • Partnering with client staff to debug and resolve technical issues encountered in the field., • Engaging Client Program Managers and Engineers when required., • Leading and conducting in-field data collection activities., • Providing frequent status updates during field operations., • Addressing and resolving technical issues, including extracting device diagnostic logs and escalating as needed., • Triaging and debugging technical problems in real-time., • Opening and tracking bugs with appropriate Client personnel.Post-Operations Responsibilities:, • Documenting and reporting on pilot results., • Reporting downtimes, tool issues, and bugs affecting pilot performance., • Sharing observations, feedback, and opportunities for process improvement and automation., • Verifying successful data transfer to backend systems., • Engaging the staff and Client Program Managers/Engineers to ensure complete issue resolution., • Following up to close open bugs., • Participating in data analysis and extraction as needed., • Proactively identifying opportunities for program and workflow improvements.Key requirements:, • BA/BS degree or a minimum of 2–3 years of relevant testing or support experience., • At least 1 year of QA testing or technical support experience with mobile applications., • Familiarity with mobile and web technologies, as well as organizational tools such as Google Spreadsheets and Excel., • Knowledge of SQL and JavaScript is a plus., • Ability to work on foot for extended periods and in various indoor/outdoor conditions and weather., • Strong verbal and written communication skills in English, with the ability to collaborate across local and global teams., • Demonstrated teamwork and collaboration skills., • Professional demeanor and ability to represent the company appropriately., • Comfortable working in a fast-paced environment., • Valid driver’s license and the ability to drive or use alternative transportation for fieldwork at various locations (e.g., client offices, stores, malls)., • Quick learner with the aptitude for understanding new technologies., • Excellent organizational skills and strong attention to detail., • Strong analytical and problem-solving abilities., • Ability to meet deadlines and take ownership of assigned tasks., • Capable of documenting testing results clearly and systematically., • Ability to create or improve workflows and identify areas for operational improvement. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionHybrid role Role Description: In this role you will be responsible for the stability, support and continuous improvement of technology platforms that enable the Rates and Credit trading businesses. You will serve as the primary liaison between Front Office users, technology teams, infrastructure groups, vendors, and control functions, ensuring the reliable operation of critical trading, pricing, risk, pnl and electronic execution platforms. This position combines hands-on production support, platform ownership, incident management, problem management, change management, release management, DR management, project delivery and business engagement, with a strong focus on maintaining a high availability trading environment and delivering technological solutions that support business growth. Key responsibilities: Provide day-to-day support for Fixed Income Rates and Credit trading platforms. Monitor critical production systems, interfaces, market connectivity, pricing feeds, and electronic trading workflows. Manage and resolve production incidents, coordinating across development, infrastructure, networking, market data vendors, and business users. Lead root cause analysis and drives corrective actions following production issues. Ensure adherence to support procedures, escalation protocols, and operational controls. 24x7 availability depends on business demand. Act as a primary technology contact for traders, sales, middle office, and operations teams. Parter with business stake holders to understand requirements, prioritize production enhancements, and identify opportunities for automation. Communicate postmortem reports, platform status, incidents, project updates, and operational risks to senior management and business leadership. Produce regular operational and service-level reporting for stakeholders. Monitor electronic order flow, trade execution performance, and connectivity health. Coordinate onboarding activities with trading venues, brokers, vendors and counterparties. Coordinate testing, release planning, deployment activities, and post-implementation validation. Ensure production readiness and operational supportability or new releases. Maintain strong operational controls across supported platforms. Support audit, compliance and user access review activities. Document support procedures, recovery processes, and system dependencies. Identify operation risk and implement preventive controls to improve platform resilience. Preferred Qualifications: 8+ years of experience in Front Office application support. Experience supporting Rates and Credit related Fixed Income products. Familiarity with electronic execution venues and market data platforms. Working knowledge of SQL, scripting, monitoring tools, and troubleshooting. Experience with regulatory and control frameworks application to Front Office Technology organizations. Incident management and problem-solving Real-time debugging and troubleshooting Creating dashboards and generate stability reports Strong communication and stakeholder management skills Analytical and proactive mindset with ownership of issue resolution. Ability to work on-call and adhere to scheduled rotations for system support and maintenance. Monitoring tools: Prometheus, Grafana, Logic Monitor, eG, Geneos/ITRS or related tools. Job schedulers: Autosys Databases: MSSQL, SQL Server, Oracle Application performance monitoring and log analysis ITIL processes: Incident, problem, and change management Scripting for automation: Python, Bash, PowerShell

Job Description Our enterprise-level client is seeking to add an AV Support Technician to the team in New York City. Please see below for full details- Job Notes: -- 6-month contract / extensions and perm conversion are possible but not guaranteed -- Onsite in New York City - 10281 -- Drug & Background required. -- Financial sector experience preferred. Pay Rate = $41 w2 per hour + benefits We are seeking a skilled onsite AV Support Technician to support corporate meeting rooms, event spaces, video conferencing systems, and day-to-day audiovisual operations. The ideal candidate will have strong troubleshooting skills, hands-on experience with Cisco AV/video conferencing equipment, and the ability to support both routine room checks and live event needs in a fast-paced corporate environment. Key Responsibilities: · Diagnose and resolve audio, video, connectivity, and configuration issues within meeting rooms and corporate event spaces. · Support Cisco video conferencing kits and related AV equipment used for meetings, presentations, and events. · Perform regular room condition checks to verify equipment functionality, cabling condition, room readiness, and overall user experience. · Provide L2 support for escalated AV issues from staff performing meeting room checkouts or general onsite support. · Assist with corporate events by setting up AV equipment, supporting live troubleshooting, and helping ensure smooth event execution. · Execute meeting room refresh activities, including equipment swaps, cabling updates, room adjustments, and AV readiness validation. · Manage onsite spare AV equipment and coordinate replacement of faulty equipment when needed. · Administer the RMA process for broken AV equipment and maintain clear tracking of repair or replacement activity. · Maintain organized inventory records for AV assets, spare equipment, and future equipment needs. Why Work with Merge IT? We don’t just connect people with jobs, we connect top IT talent with game-changing opportunities at some of the biggest names in tech, finance, healthcare, and more. Our team is passionate about helping you land the role that propels your career forward. Let’s Stay Connected Want insider access to hot jobs, career tips, and industry trends? Follow us @MergeITLLC on Instagram, Facebook, and Twitter, or check us out here: https://compiled.social/MergeITLLC. You’ll be the first to know when that perfect role opens up. Be You. With Us. Merge IT is an equal opportunity employer. We value diversity in all forms and are committed to creating a workplace where everyone can thrive. All employment is subject to verification of eligibility to work in the U.S. per federal law. Your next opportunity starts here. Let’s make it happen.

Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n • \n Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms \n • \n Has a deep understanding of the foundations of AI methodologies \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes \n • \n Experience in delivering libraries, platform level code or solution level code to existing products \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n • \n Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Job Description Company Overview Wiesner Products Inc. was established in 1971 and had been a fast-growing company with a strong portfolio of consumer-focused products within 25 different categories. For more details on the company profile, please visit www.wpiny.com. Position: Associate Technical Designer, Apparel Categories: Mens & Ladies: Active, Lounge, Underwear Location: New York, NY: In Office (Midtown, Manhattan) Position Overview: We are seeking a skilled and detail-oriented Associate Technical Designer to support the fit approval process from development through production. The ideal candidate is a collaborative team player with expertise in fit, patternmaking, and product lifecycle management. This role will be reporting into the Head of Technical Design and independently own specific categories, while also supporting other Senior Technical Designers across all divisions. Key Responsibilities: • Analyzing Garments: Measure and review a high volume of Samples with exceptional accuracy (est. 20+ Samples per week), • Fittings: Lead and conduct fittings on both live fit model and Dress Form 3-4 times per week, • Pattern Expertise: Develop and maintain block specs and grading. Analyze factory paper patterns and make pattern corrections, • Tech Pack Ownership: Create and maintain detailed tech packs in Excel, including specs, grading, and construction details. Communicate detailed fit comments to Vendors through written summaries, sketches, and photos, • Time and Action Management: Develop and maintain production calendars, regular communication with Vendors on deadlines, • Cross Functional Support: Support Senior Technical Designers in all other divisions Required Qualifications: • 1-2+ minimum years of experience in a technical design or patternmaking role (1 year of an internship w/ a Technical Design or Patternmaking team can be considered), • Advanced patternmaking knowledge. Ability to analyze patterns and translate garment fit issues to pattern corrections, • Advanced proficiency in Excel. Competencies include data entry & formatting, utilizing formulas, sorting & filtering, look up functions, logical & advanced functions, pivot tables, conditional formatting, data validation, • Intermediate proficiency in Illustrator & Photoshop. Must be able to utilize Illustrator and Photoshop to draw sketches and pattern corrections Preferred Qualifications: • Proficiency in AI & 3D programs, such as Browzwear V-Stitcher, CLO, Fermat Salary Range: $60,000 - $65,000 (Annually) Application Instructions: Please mention your portfolio link in the resume or submit your recent work samples when applying. Thank You!

Job Description We are a growing IT company; a great place to start and grow your career! CCS is a leading technology consulting firm providing best in class solutions to our clients for over 45 years. Expressed simply in our tagline – Right People, Right Results, Right Careers! Our philosophy is, in fact, an obsession that drives our behavior, our culture and our work. It's why we put tremendous emphasis on hiring individuals that embody the principles that align with our obsession. We continue to successfully provide network integration, support services, products solutions, and applications services to our valued clients in the northeast. Our focus is simple...our goal is to make technology easy and to help our clients use it as effectively as possible. The Desktop Technician is responsible for the deployment, installation, configuration, troubleshooting, and support of desktop computers, laptops, monitors, printers, peripherals, and related end-user technology across client locations throughout the five boroughs of New York City. This is a hands-on field position requiring strong technical, organizational, and customer service skills. The Desktop Technician coordinates equipment deliveries, receives and verifies technology assets, prepares equipment for deployment, performs onsite installations and configurations, and ensures devices are fully operational before completing assigned work. The position requires frequent interaction with end users, client personnel, project teams, delivery vendors, and other technical staff. Successful candidates must demonstrate professionalism, strong communication skills, attention to detail, and the ability to troubleshoot and resolve technical issues while minimizing disruption to client operations. Travel throughout the five boroughs of New York City is required. Work Schedule The standard work schedule for this position is Monday through Friday, 8:00 AM to 5:00 PM. Employees are expected to maintain a flexible work schedule and may occasionally be required to work adjusted hours based on project timelines, deployment schedules, client requirements, or other business and operational needs. During school district breaks, summer months, or as required to support business and project needs, the work schedule will remain Monday through Friday, 8:00 AM to 5:00 PM and report to HQ. Responsibilities may include staging and configuration in the configuration center, distribution and other project initiatives based at HQ. Salary: $42,000-$45,000 What You'll Do: • Deploy, install, configure, test, and support desktops, laptops, monitors, printers, peripherals, and other end-user technology., • Perform onsite desktop and technology deployments across client locations throughout the five boroughs of New York City., • Coordinate with delivery vendors and onsite personnel to receive equipment and technology deliveries at assigned locations., • Verify delivered equipment against project documentation, inventory records, packing lists, and deployment requirements., • Inspect equipment upon delivery and promptly report missing, incorrect, or damaged equipment., • Stage, prepare, configure, and test equipment prior to deployment., • Install and configure Windows-based desktops and laptops in accordance with established technical and client standards., • Connect and configure monitors, docking stations, keyboards, mice, printers, and other peripherals., • Connect deployed devices to wired and wireless networks and verify proper network connectivity., • Perform basic configuration and validation of user accounts, applications, printers, network connectivity, and other required services., • Troubleshoot desktop hardware, operating system, application, peripheral, printing, and connectivity issues., • Diagnose technical issues and determine appropriate resolution or escalation when problems require additional technical resources., • Verify that all installed equipment is fully operational and meets established deployment requirements before completing the assignment., • Provide post-deployment support to address installation, configuration, and end-user issues following technology deployments., • Assist end users with basic operation of newly installed equipment and applications when required., • Provide professional and courteous customer service while working directly with end users, client personnel, and project stakeholders., • Maintain clear communication with project managers and technical teams regarding deployment status, technical issues, equipment discrepancies, and outstanding work., • Perform asset tagging and accurately record serial numbers, asset information, device assignments, and other required inventory information., • Maintain accurate deployment records, equipment inventories, installation documentation, and project status updates., • Coordinate the removal, collection, staging, and return of replaced or retired equipment when required., • Maintain organized equipment staging and deployment areas throughout project activities., • Safeguard company and client equipment while it is being received, staged, transported, installed, or otherwise under the employee's control., • Follow established equipment handling, data security, asset management, documentation, and deployment procedures., • Work collaboratively with project managers, Systems Engineers, Associate Systems Engineers, other technicians, delivery vendors, and client personnel., • Perform other job-related duties and support additional technology deployment initiatives as assigned. What You Bring: • Associate's degree or technical training in Information Technology, Computer Science, or a related field preferred., • Minimum of 1–2 years of experience supporting desktop computers, laptops, peripherals, technology deployments, or related IT environments., • Hands-on experience installing, configuring, and troubleshooting Windows-based desktops and laptops., • Working knowledge of computer hardware, operating systems, printers, monitors, docking stations, and common peripherals., • Basic understanding of TCP/IP, wired and wireless networking, and network connectivity troubleshooting., • Ability to diagnose and resolve common desktop hardware, software, peripheral, printing, and connectivity issues., • Strong customer service skills with the ability to communicate effectively and professionally with end users and client personnel., • Strong verbal and written communication skills., • Strong organizational and time-management skills with the ability to complete multiple deployment assignments within established schedules., • Strong attention to detail when handling equipment, documenting assets, and completing deployment records., • Ability to follow technical procedures, deployment instructions, and project documentation accurately., • Ability to work independently in the field while collaborating effectively with project and technical teams., • Ability and willingness to travel throughout the five boroughs of New York City., • Ability to lift 10 pounds or more, carry, move, and install desktop computers, monitors, printers, and related technology equipment. Preferred • Experience performing large-scale desktop or laptop deployment and technology refresh projects., • Experience with Microsoft 365 and Windows enterprise environments., • Familiarity with Microsoft Intune, Windows Autopilot, or similar endpoint management technologies., • Experience with device imaging, provisioning, and deployment processes., • Experience with IT asset management, inventory systems, and asset tagging., • Experience supporting technology within educational, government, or other large enterprise environments., • CompTIA A+, Network +, Microsoft, or similar entry-level technical certification. #IND #ZR CCS Offers: • Competitive salaries, • Comprehensive benefits including:, • Medical and dental plans, • Company paid vision and short and long term disability plans, • Flexible spending programs including Healthcare, Dependent Care, Transit and Parking, • 401K with employer match, • Tuition reimbursement, • Onsite fitness center (or gym membership reimbursement for client or satellite based employees), • Company paid life Insurance, • Paid holidays and vacation, • Technical certification gift card rewards program Come experience our unique culture and see how our "right people, right results" philosophy has led to our outstanding success! We are great place to start your IT career! EEO Statement: Custom Computer Specialists is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. To request a reasonable accommodation to apply for this position or to enable qualified individuals with disabilities to perform essential job functions, contact humanresources@customonline.com or 631-864-6699.

Job DescriptionJob Title: Application Support Analyst Location: New York, NY 10172 Hybrid role Duration: 12 Months Job Experience Level: Senior (10+ Years) Role Description: In this role you will be responsible for the stability, support and continuous improvement of technology platforms that enable the Rates and Credit trading businesses. You will serve as the primary liaison between Front Office users, technology teams, infrastructure groups, vendors, and control functions, ensuring the reliable operation of critical trading, pricing, risk, pnl and electronic execution platforms. This position combines hands-on production support, platform ownership, incident management, problem management, change management, release management, DR management, project delivery and business engagement, with a strong focus on maintaining a high availability trading environment and delivering technological solutions that support business growth. Key responsibilities: • Provide day-to-day support for Fixed Income Rates and Credit trading platforms., • Monitor critical production systems, interfaces, market connectivity, pricing feeds, and electronic trading workflows., • Manage and resolve production incidents, coordinating across development, infrastructure, networking, market data vendors, and business users., • Lead root cause analysis and drives corrective actions following production issues., • Ensure adherence to support procedures, escalation protocols, and operational controls., • 24x7 availability depends on business demand., • Act as a primary technology contact for traders, sales, middle office, and operations teams., • Parter with business stake holders to understand requirements, prioritize production enhancements, and identify opportunities for automation., • Communicate postmortem reports, platform status, incidents, project updates, and operational risks to senior management and business leadership., • Produce regular operational and service-level reporting for stakeholders., • Monitor electronic order flow, trade execution performance, and connectivity health., • Coordinate onboarding activities with trading venues, brokers, vendors and counterparties., • Coordinate testing, release planning, deployment activities, and post-implementation validation., • Ensure production readiness and operational supportability or new releases., • Maintain strong operational controls across supported platforms., • Support audit, compliance and user access review activities., • Document support procedures, recovery processes, and system dependencies., • Identify operation risk and implement preventive controls to improve platform resilience. Preferred Qualifications: • 8+ years of experience in Front Office application support., • Experience supporting Rates and Credit related Fixed Income products., • Familiarity with electronic execution venues and market data platforms., • Working knowledge of SQL, scripting, monitoring tools, and troubleshooting., • Experience with regulatory and control frameworks application to Front Office Technology organizations., • Incident management and problem-solving, • Real-time debugging and troubleshooting, • Creating dashboards and generate stability reports, • Strong communication and stakeholder management skills, • Analytical and proactive mindset with ownership of issue resolution., • Ability to work on-call and adhere to scheduled rotations for system support and maintenance., • Monitoring tools: Prometheus, Grafana, Logic Monitor, eG, Geneos/ITRS or related tools., • Job schedulers: Autosys, • Databases: MSSQL, SQL Server, Oracle, • Application performance monitoring and log analysis, • ITIL processes: Incident, problem, and change management, • Scripting for automation: Python, Bash, PowerShell

Job Description Desktop Support Consultant Job Summary We are seeking a hands-on Desktop Support Consultant to assist with a large-scale Windows 11 rollout, hardware refresh, and office relocation project. This consultant will work closely with the IT team to deploy and configure new laptops and desktops, migrate users to Windows 11, set up technology in the new office environment, and provide deskside support throughout the transition. The ideal candidate has strong desktop support experience in a corporate or professional services environment and is comfortable working directly with end users, troubleshooting hardware and software issues, and supporting technology deployment projects in a fast-paced environment. Key Responsibilities • Assist with the deployment and rollout of Windows 11 across the organization., • Configure, image, deploy, and replace laptops, desktops, monitors, docking stations, and related peripherals., • Support the migration of users from existing hardware to newly deployed equipment., • Transfer and validate user profiles, applications, settings, and data as required., • Provide hands-on deskside support before, during, and after the Windows 11 migration and hardware refresh., • Troubleshoot Windows 11, Microsoft 365, hardware, software, printing, connectivity, and peripheral issues., • Assist with technology-related activities associated with an office move, including workstation breakdown, setup, testing, and validation., • Set up and test computers, monitors, docking stations, phones, printers, and other workplace technology at the new office location., • Perform post-move floor support to quickly resolve end-user technology issues., • Maintain accurate inventory and asset information for deployed, replaced, and relocated equipment., • Coordinate with internal IT teams, vendors, and project stakeholders to ensure deployment activities are completed according to schedule., • Provide professional, customer-focused support to end users and communicate clearly regarding migration and deployment activities., • Escalate complex technical issues to the appropriate engineering or infrastructure teams when necessary. Qualifications • 3+ years of experience providing desktop, deskside, or end-user computing support in a corporate environment., • Hands-on experience supporting Windows 10 and Windows 11., • Experience with desktop/laptop deployments, hardware refreshes, migrations, or large-scale technology rollout projects., • Strong knowledge of Microsoft 365 applications, including Outlook, Teams, OneDrive, and Office applications., • Experience configuring and troubleshooting laptops, desktops, monitors, docking stations, printers, and other peripherals., • Familiarity with Active Directory, Microsoft Entra ID, Microsoft Intune, SCCM/MECM, or similar endpoint management tools., • Experience with imaging, software installation, user profile migration, and workstation configuration., • Strong troubleshooting skills across hardware, software, operating systems, and basic network connectivity., • Excellent customer service and communication skills with the ability to support users at all levels of an organization., • Ability to work independently while also collaborating effectively with project and IT support teams., • Ability to lift, move, unpack, and install computer equipment as required during deployment and office move activities. Preferred Qualifications • Previous experience supporting an office relocation or large-scale workstation deployment., • Experience supporting users within a law firm, financial services firm, or other professional services environment., • Experience providing white-glove support to executives and other senior-level users., • Familiarity with ServiceNow or another ITSM/ticketing platform., • Experience with enterprise asset management and inventory tracking. Project Focus This is a project-based consulting opportunity focused primarily on Windows 11 migration, hardware refresh, office move support, and post-deployment deskside support. The consultant should be comfortable working in a hands-on environment where priorities may shift based on deployment schedules and end-user needs.

Job DescriptionCompany Description We are the world’s leading diamond company – a unique, luxury business that thrives on the creativity, passion and knowledge of our people. As we embark on a journey to accelerate the transformation of our business into one that is better positioned to realise the opportunities ahead of us, we welcome and encourage diverse perspectives from those individuals who spark fresh thinking and aren't afraid to challenge assumptions. We’ll provide you with the space and support to grow and achieve your ambitions and – working together – you’ll help us realise our own ambition to be the pioneer of a new diamond world. Job Description At De Beers Group, we are passionate about the work we do and the role technology plays in protecting the integrity of the natural diamond industry. As part of our Science & Technology team, you will help customers across the United States leverage industry-leading diamond verification technologies that support confidence, trust and transparency throughout the diamond value chain. In this role, you will combine your commercial expertise, technical knowledge and relationship-building skills to drive growth across the US market. Working closely with customers, industry stakeholders, product development teams and technical experts, you will act as a trusted advisor, helping businesses understand, adopt and maximise the value of our verification solutions. This is a highly autonomous role where you will take ownership of complex sales opportunities, influence senior customer decision-makers, and represent De Beers Group at industry events across the United States. You will also play a key role in shaping best practices, mentoring colleagues and providing valuable market insights that influence future product development and commercial strategy. The purpose of this role is to drive commercial success, market expansion and customer adoption of De Beers Group's diamond verification instrument portfolio across the United States. Key Responsibilities Drive strategic sales growth across the US market • Develop and execute territory and account strategies aligned to US market opportunities and customer needs., • Own the complete sales cycle for complex, high-value opportunities from prospecting through to deployment and customer adoption., • Build and maintain a robust sales pipeline with strong forecasting discipline and commercial focus., • Identify and pursue new business opportunities across manufacturers, sightholders, retailers, wholesalers and gemological laboratories., • Negotiate and close commercial agreements that deliver long-term customer value and business growth., • Deliver against revenue targets and key performance objectives. Provide advanced technical sales expertise and customer advisory support • Act as a subject matter expert on diamond verification technologies and their application within customer environments., • Lead customer demonstrations, pilots and solution evaluations tailored to specific operational requirements., • Advise customers on synthetic diamond detection, risk mitigation and operational optimisation strategies., • Translate complex technical functionality into clear commercial and operational benefits., • Engage and influence stakeholders at both technical and executive levels within customer organisations., • Support customers through onboarding, training and adoption of verification technologies. Build market intelligence and industry influence • Develop a deep understanding of the US diamond industry, customer challenges, emerging trends and market opportunities., • Monitor competitor activity and contribute to the development of commercial differentiation strategies., • Gather and communicate market insights to product development, engineering and commercial leadership teams., • Utilise CRM tools and sales data to generate insights, support forecasting and improve decision making., • Represent De Beers Group at trade shows, conferences and customer events across the United States. Mentor and contribute to team success • Share expertise and best practices in technical sales, business development and customer engagement., • Support the onboarding and development of new team members., • Provide coaching and informal mentoring to junior colleagues., • Collaborate with global stakeholders to continuously improve customer experience and commercial performance. Put Safety First by ensuring all safety regulations, practices and procedures are adhered to • Follow company safety standards and operating procedures at all times., • Demonstrate De Beers Group's commitment to safety, integrity and responsible business practices in all customer and stakeholder interactions. The salary range for the position is USD $155,000 - USD $205,000 per annum. Qualifications • Bachelor's degree or equivalent practical experience. Engineering qualifications in Electronics, Mechanical, Mechatronics or a related discipline would be advantageous., • 5-8+ years of experience in technical sales, solutions consulting or applications engineering within a B2B environment., • Demonstrated success managing complex technical sales opportunities from prospecting through to close., • Strong business development and territory management capability., • Experience building and managing sales pipelines and delivering against commercial targets., • Excellent communication, presentation and stakeholder management skills., • Ability to explain technical concepts and articulate business value to diverse audiences., • Strong commercial acumen with experience negotiating and influencing customer purchasing decisions., • Experience working independently and taking ownership of business outcomes., • Knowledge of diamond verification technologies, synthetic diamond detection or gemological processes would be highly advantageous., • Experience selling scientific instruments, technical equipment or capital equipment solutions is desirable., • Prior experience mentoring, coaching or supporting the development of colleagues is beneficial., • Proficiency with CRM systems and data-driven sales management tools., • Strong relationship-building skills with the ability to establish credibility as a trusted advisor., • Self-motivated, accountable and comfortable operating in a highly autonomous environment and willing to travel up to 50%. Additional Information Who we are: De Beers Group is a company with a sparkling future. Our experts have searched the world for nature’s most precious gem. Our diamonds bring beauty to the world. But we think they can do so much more. We want our diamonds, and our business, to make life brilliant – for our people, our customers and the world around us. Venetia Mine is part of De Beers Group Managed Operations Business which integrates mines, operations and support functions in the De Beers Group producer countries of Canada and South Africa to shape a safe, sustainable future for De Beers Group’s people, shareholders, communities and partners. Safety Safety first is a way of life for us. We are unconditional about the safety, health and well-being of our colleagues, at work and at home, and about that of the communities where we work. We aim to lead the industry by investing in innovation to protect people, who are at the heart of our business. Our high performing teams take accountability for their own and others' actions, work collaboratively, and always show care and respect. Equity, Diversity & Inclusion As a global #HeForShe Thematic Champion, De Beers is committed to promoting an equitable, inclusive and diverse workplace where we value and respect every colleague for who they are. We provide equality of opportunity to enable everyone to fulfil their potential. Please inform us should there be any special requirements that should be considered as part of your application. Building Forever Sustainability is at the heart of our decision-making – it is how we do business. Building Forever is key to our purpose as it represents our ambitious and holistic sustainability framework and is central to our ability to deliver long-term value to our communities and partners. This shapes how we protect our social and environmental license to operate, build a long-term legacy in our host communities and earn consumers’ trust in our diamonds that they can wear with pride. Background Checks Successful candidates will be required to complete background screening which may include a criminal check and validation of qualifications. #LI-MT1

Job DescriptionJob Description: Federal IT Specialist Role Type: Contractor Location: Remote About the Role We are seeking experienced Federal IT Specialists to contribute their technical expertise to a project focused on federal IT operations and AI training. In this role, you will help train and evaluate next-generation AI systems by assessing their understanding of federal IT processes, technical deliverables, and cybersecurity requirements. The engagement focuses on GS-2210 activities, incident response, information security compliance, and technical documentation. You will leverage your hands-on experience in hardware repair, network administration, and incident management to evaluate and improve AI-generated outputs based on realistic federal IT scenarios. Scope of Work • Review, analyze, and provide expert feedback on AI-generated content related to federal IT processes, including Authorization to Operate (ATO) packages, IT investment business cases, incident reports, and Privacy Impact Assessments (PIAs)., • Evaluate AI-generated troubleshooting approaches for complex hardware, software, network, and application incidents in realistic federal IT environments., • Provide actionable insights and technical guidance to support the development of accurate AI training resources for federal IT operations., • Evaluate and refine AI-generated technical documentation, system configurations, and security controls for accuracy and compliance., • Support incident response simulations and use-case evaluations to improve AI model performance in identifying, analyzing, and addressing security incidents., • Assess AI-generated outputs for alignment with federal cybersecurity, privacy, and information assurance requirements.Required Qualifications, • Minimum of 5 years of experience in federal IT roles (GS-2210 or equivalent), with demonstrated expertise in hardware repair, network administration, and incident response., • Proven experience implementing information security controls and maintaining compliance with federal frameworks, including FISMA and NIST standards., • Strong technical expertise in diagnosing and troubleshooting diverse IT environments, including hardware, software, networks, and applications., • Experience preparing, reviewing, or maintaining federal IT documentation, such as ATO packages, Privacy Impact Assessments, incident reports, and IT investment business cases., • Strong analytical and problem-solving skills, with the ability to evaluate technical solutions and identify gaps in system performance or security., • Commitment to maintaining data integrity, information security, and privacy across all project activities and deliverables.Preferred Qualifications, • Familiarity with evaluating AI-generated technical content for accuracy, security compliance, and operational relevance., • Experience supporting AI training, model evaluation, technical content validation, or data annotation projects., • Experience participating in federal IT incident response exercises, cybersecurity assessments, or security control evaluations., • Strong technical writing skills and the ability to communicate complex federal IT concepts clearly and accurately.

Job Description 84 Months experience in Data warehousing, profiling, governance,modeling or data quality assurance for Financial Reporting.84 Months of Experience in SQL, Oracle and other Database Management Systems, including querying. Provide example(s) of independently problem solving and support to internal data stakeholders that resolved data issues in real time. 84 Months of Experience with data visualization, dashboarding, using tools like Tableau, Business Objects, Power BI. 84 Months of Experience in automating data tasks like ingestion, mapping, reporting, testing, validation, analysis, using programming languages such as SAS, Python, R, or Excel VBA.84 Months of Experience in providing governance, and technical support. Liaise with data vendors/solution providers, internal stakeholders, other technology teams (Data Architecture, Project Management team) to support data strategy and initiatives. Translate business requirements into technical specifications.84 Months of Experience with Data Cataloging Platforms (e.g., Informatica, Collibra, Alation) to execute data profiling, data quality, data mapping and manage lineage.84 Months of experience in writing documentation to capture requirements and logic, and encourage adoption of data catalog, data quality and data management processes and other data related initiatives (i.e., data platform/integration solutions).36 Months of Experience in cloud based data platforms, like Snowflake or AzureBachelor's Degree

Job DescriptionApplication Support Analyst - New York, NY - Contract - $59-69 Per HRDescription Join our team as an Application Support Analyst responsible for maintaining and improving technology platforms for trading businesses. This hybrid role involves supporting critical systems, managing incidents, and ensuring platform stability. You will work closely with various teams to deliver solutions that support business growth, utilizing a range of technologies. Key Responsibilities • Provide daily support for trading platforms, ensuring system stability and performance., • Monitor production systems and resolve incidents by collaborating with relevant teams., • Conduct root cause analysis and implement corrective actions post-incident., • Communicate platform status and updates to stakeholders and senior management., • Coordinate testing, deployment, and validation activities for new releases.Qualifications, • 8 years of experience in application support, particularly in trading environments., • Experience with Fixed Income products and electronic trading platforms., • Proficiency in SQL, scripting, and troubleshooting tools., • Strong communication and problem-solving skills., • Ability to work on-call and manage system support rotations.Core Technologies SQL | Scripting | Monitoring Tools | Job Schedulers | Databases | ITIL Processes Contact Authorization By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy on our web site or here (https://www.mitchellmartin.com/privacy-policy). Benefits Learn more about our benefits offerings on our web site or here (https://www.mitchellmartin.com/careers/benefits-perks) Onboarding Expectations Learn more about our Onboarding Process on our web site or here (https://youtu.be/rjV_NFYjyY4) EEO Statement Learn more about our EEO policy on our web site or here (https://www.mitchellmartin.com/eoe-statement) #LI-AA2

Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. \n At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter. \n This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today. \n\n \n \n The Role\n \n \n As an Account Director II Forward Deployed, you will own expansion and modernization across a portfolio of complex, high-profile Regional Enterprise accounts by connecting customer priorities to measurable outcomes enabled by network, cloud, security, managed services, and related technology solutions. You independently plan the account approach, create demand, shape commercial outcomes, and lead cross-functional pursuit teams without formal authority. Your deep understanding of customer business and financial priorities, market context, and relevant solutions makes you a trusted specialist who develops customers’ and colleagues’ understanding. \n \n \n \n \n The Main Responsibilities\n \n \n \n • Own and execute account strategies for complex or high-profile Regional Enterprise customers, including accounts with significant revenue, broad geographic reach, and diverse needs. \n, • Analyze each customer’s business model, financial priorities, operating challenges, technology environment, and buying signals to identify whitespace, stakeholders, use cases, and funding paths. \n, • Build qualified expansion pipeline through executive relationships, proactive discovery, account intelligence, partners, marketing, and focused prospecting. \n, • Prioritize opportunities and resources based on customer value, solution fit, competitive dynamics, risk, and revenue potential; provide input that improves colleagues’ account approaches. \n, • Lead consultative discovery with executive, business, technical, operational, and financial stakeholders to define desired outcomes, value at stake, decision criteria, and urgency. \n, • Translate customer needs into outcome-based solution narratives and quantified business cases addressing value, investment, implementation considerations, risk, and cost of inaction.\n, • Serve as a recognized expert in one or more business, sales, product, or service areas; develop customer and colleague understanding through informed points of view and best practices.\n \n \n, • Direct and coordinate Solutions Engineering, Customer Success, Product, Delivery, Marketing, channel, and partner resources around clear customer and commercial objectives.\n \n \n, • Own expansion opportunities through qualification, solution validation, proposal, negotiation, close, and transition to activation. \n, • Exercise broad authority and moderate-to-considerable discretion, within company governance, to shape and negotiate product, service, pricing, and commercial terms with senior customer stakeholders. \n, • Establish mutual action plans, stakeholder commitments, milestones, and next steps; identify customer risk, competitive threats, and dependencies early. \n, • Lead small-to-medium cross-functional pursuit teams without supervisory authority and hold contributors accountable for agreed actions and customer outcomes. \n, • Maintain rigorous account plans, stakeholder maps, pipeline coverage, qualification, forecasts, next steps, and CRM records. \n, • Use AI, agents, and automated workflows to improve research, prioritization, meeting preparation, follow-through, and opportunity management; validate outputs and apply sound judgment.\n, • Share customer and market insight, coach peers on proven practices, and help improve sales execution and solution fit. \n \n \n \n \n \n What We Look For in a Candidate\n \n \n \n, • 6+ years of complex B2B sales experience, or equivalent evidence of capability, with sustained success growing existing customer relationships and achieving sales goals. \n, • Bachelor’s degree or equivalent education and experience; practical experience with AI-enabled sales tools is preferred. \n, • Experience owning complex or high-profile accounts and advancing multi-stakeholder technology opportunities from discovery through negotiation and close. \n, • Deep expertise in one or more relevant domains, such as customer business and financial drivers, networking, cloud, security, managed services, or enterprise technology sales. \n, • Demonstrated judgment and discretion in structuring and negotiating product, service, pricing, or commercial terms with senior customer stakeholders. \n, • Ability to plan account strategy independently, influence colleagues’ approaches, and lead cross-functional teams without formal authority.\n, • Strong executive communication, business-case development, forecasting, pipeline management, and CRM discipline. \n \n \n \n #projectvelocity \n \n \n \n \n Compensation\n \n \n This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.\n \n \n Location Based Pay Ranges\n \n \n $109,649 - $146,192 in these states: FL GA IN KS OH PA SC TN WI \n \n $115,133 - $153,507 in these states: MI MN NC \n \n $120,617 - $160,812 in these states: DC IL MA MD NJ NY VA \n \n \n Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's:BenefitsBonus Structure\n #LI-Remote \n #ProjectVelocity \n \n \n \n \n What to Expect Next\n \n \n \n\n Requisition #: 343666 \n \n Life at Lumen \n Life at Lumen is human and connected, even in a fast moving, AI‑focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. \n Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win. \n To learn more about Life at Lumen and how we live the Lumen 8, please visit: \n https://jobs.lumen.com/global/en/life-at-lumen \n \n Background Screening \n If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. \n Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. \n \n Equal Employment Opportunities \n We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. \n \n Privacy Notice \n Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data. \n To review Lumen’s Global Employment Applicant and Talent Community Privacy Notice, please visit: \n https://jobs.lumen.com/global/en/privacy-notice \n \n Disclaimer \n The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. \n In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. \n Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Feldspar & Flint LLC is a Recruiting & Staffing firm that specializes in operational strategy across core business functions. \n \n We are seeking a People & Culture Generalist for a temporary consulting assignment supporting an HR technology transformation. This role combines hands-on HRIS implementation, Workday coordination, benefits administration, and HR operations. The position offers broad functional exposure and a hybrid schedule requiring two days per week in Midtown Manhattan. \n \n Responsibilities \n\n • Coordinate Workday HCM implementation activities, working with internal HR teams, external consultants, and stakeholders to meet project milestones.\n, • Support employee data gathering, cleansing, migration preparation, reconciliation, and validation to ensure data integrity.\n, • Assist with Workday configuration, user acceptance testing (UAT), defect tracking, and implementation documentation.\n, • Develop and maintain HR workflows, standard operating procedures, and employee-facing implementation resources.\n, • Support benefits administration, including vendor coordination, enrollment activities, employee communications, and data reconciliation.\n, • Coordinate learning and development programs, training schedules, onboarding activities, and employee development initiatives.\n, • Maintain accurate employee records, HR documentation, and reporting while protecting confidential information.\n, • Provide day-to-day HR operational support, address employee inquiries, and assist with organizational initiatives and change management.\n\n Qualifications \n\n • 3–5 years of experience in HR generalist functions, HR operations, or a comparable human resources role.\n, • Demonstrated experience supporting an HRIS implementation, including project coordination, testing, data validation, or migration activities.\n, • Working knowledge of Workday HCM, Benefits, and related HR integrations.\n, • Experience with employee benefits administration, HR data management, or learning and development coordination.\n, • Strong Microsoft Excel skills, analytical capabilities, and experience maintaining accurate HR records and process documentation.\n, • Ability to independently coordinate multiple priorities, collaborate with stakeholders, and handle confidential employee information; relevant HR education or SHRM certification is beneficial.\n

Job Description Overview About M.C. Dean M.C. Dean is Building Intelligence®. We design, build, operate, and maintain cyber-physical solutions for the nation’s most mission-critical facilities, secure environments, complex infrastructure, and global enterprises. With over 9,000 employees, our capabilities span electrical, electronic security, telecommunications, life safety, automation and controls, audiovisual, and IT systems. Headquarters in Tysons, Virginia, M.C. Dean delivers resilient, secure, and innovative power and technology solutions through engineering expertise and smart systems integration. Why Join Us? Our people are passionate about engineering innovation that improves lives and drives impactful change. Guided by our core values—agility, expertise, and trust—we foster a collaborative and forward-thinking work environment. At M.C. Dean, we are committed to building the next generation of technical leaders in electrical, engineering, and cybersecurity industries. We are seeking a Senior Security Technical Specialist 4 to join our Security and Electronic Systems (SES) business Unit. As part of (SES) Strategic Business Unit you will be part of a team that designs, engineers, integrates, operates and maintains electronic security services inclusive of intrusion detection, access control, biometric authentication, video surveillance, audio visual, it systems, perimeter defense and command and control systems for federal, local and commercial customers across high-growth markets. Responsibilities M.C. Dean's SES Division is seeking a Senior Systems Technical Specialist to support our federal customers missions and program needs across complex, evolving technical environments. You will define, design, architect, integrate, test, and transition complex systems using systems engineering methods, working across technical, operational, acquisition, and program management organizations to translate stakeholder needs into system concepts, architectures, requirements, and technical roadmaps. Key Responsibilities • Apply systems engineering practices across the full lifecycle: stakeholder analysis, concept development, architecture, requirements development, integration, verification and validation, and technical transition, • Translate customer needs, operational constraints, and program objectives into system concepts, functional designs, and implementation approaches, • Develop, assess, and refine system architectures, including operational, functional, logical, and physical views, interfaces, data flows, and integration points, • Facilitate stakeholder workshops and technical exchanges to elicit, document, and validate requirements; maintain traceability from stakeholder needs through design, interfaces, and verification, • Conduct engineering studies, trade analyses, and gap assessments to evaluate current systems, technology options, and opportunities for improvement, • Lead system integration, test, verification, validation, and deployment activities, including sequencing and readiness reviews; resolve technical blockers, • Identify and manage technical risks, issues, and dependencies; support technical reviews (requirements, architecture, design, test readiness, deployment readiness), • Support RMF accreditation and ATO maintenance; ensure accuracy of system documentation, including design, configuration, and O&M plans, • Manage product backlog and prioritize work with stakeholders in an agile environment; define and enforce engineering standards and processes, • Prepare and deliver technical briefings, trade-study results, and status reports; advise government customers and program leadership on technical priorities and modernization roadmaps, • Collaborate across multidisciplinary teams (software, hardware, cybersecurity, cloud, data, network, test, operations) and communicate complex technical concepts to technical and non-technical audiences Qualifications Education/Experience: • 12+ years related experience with a High School diploma 10+ with an Associates 7+ with a Bachelor's degree, 5+ years with a Master's degree, a PhD with relevant experience, or an equivalent combination of education and experience., • Experience applying systems engineering practices to complex technical, operational, or mission-focused systems, including one or more of: architecture modeling, agile methodologies, requirements development, interface analysis, integration planning, verification and validation, or technical documentation, • Ability to develop or review architecture products, requirements specifications, trade studies, technical plans, and acquisition artifacts, • Strong analytical, verbal, and written communication skills; ability to brief technical concepts to technical and non-technical audiences, • Ability to work directly with government sponsors, program managers, and technical teams, both independently and collaboratively in a dynamic environment, • Demonstrated time-management and organizational skills to meet deadlines and quality objectives, • Active Top Secret clearance with full-scope polygraph (FSP) or ability to obtain one (U.S. citizenship required), • Willingness to travel domestically and internationally up to 15%, including to various sponsor locations; position requires a minimum of 4 days/week on site, • Strong MS Excel, Word, and PowerPoint skills a plus Preferred Qualifications • Advanced degree in engineering, systems engineering, data science, or a related field, • Experience developing SysML/UML workflow diagrams, including block definition, activity, sequence, state machine, and requirement diagrams, • Experience applying systems architecture frameworks, interface models, or enterprise architecture products, • Experience advising the federal government on acquisition lifecycle activities, including SOW/SOO development, market research, and source selection support, • Experience with digital or mission engineering, enterprise architecture, cloud-based systems, data platforms, cybersecurity, or command-and-control systems, • Experience leading technical tasks, facilitating stakeholder workshops, or advising senior technical and program leadership, • Experience researching, prototyping, or integrating emerging technologies, and with systems that have strict security, resiliency, interoperability, or regulatory requirements What we offer: • A collaborative team inspired by the way engineering and innovation enhance customer outcomes, improve lives, and change the world for the better. We are driven by our core values of agility, expertise, and trust., • An opportunity to lead and build a business with the support of an industry-leading firm that has been in business for 75 years., • Investment in your skills and expertise through a combination of professional and technical training programs, including leadership training and tuition reimbursement., • Open and transparent communication with senior leadership as well as local office management. We offer an excellent benefits package including: • A competitive salary, • Medical, dental, vision, life, and disability insurance, • Paid time off, • Tuition reimbursement, • 401k Retirement Plan, • Military Reserve pay offset, • Paid maternity leave Abilities: • Exposure to computer screens for an extended period of time., • Sitting for extended periods of time., • Reach by extending hands or arms in any direction., • Have finger dexterity in order to manipulate objects with fingers rather than whole hands or arms, for example, using a keyboard., • Listen to and understand information and ideas presented through spoken words and sentences., • Communicate information and ideas in speaking so others will understand., • Read and understand information and ideas presented in writing., • Apply general rules to specific problems to produce answers that make sense., • Identify and understand the speech of another person.

Job Summary \n Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and \n trusted data foundations that enable organizations to make better business decisions. \n In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. \n \n You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. \n \n This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. \n \n Key Responsibilities \n • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data \n into clean, well-documented staging, intermediate, and mart layers using consistent modeling \n standards and naming conventions. \n • Design and co-own Power BI semantic models, including certified datasets, shared \n measures, and row-level security, ensuring consistent metric definitions across reports, \n dashboards, and self-service analytics. \n • Establish and implement data quality standards through dbt tests, source freshness checks, \n data contracts, monitoring, and alerting mechanisms. \n • Implement software engineering best practices for analytics development, including Git-based \n workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and \n environment management across development, testing, and production. \n • Collaborate with business stakeholders, finance, operations, and technology teams to translate \n business requirements into reliable data models, metrics, and analytical solutions. \n • Establish clear documentation for data models, metrics, business definitions, and data \n lineage to enable analysts, business users, and AI-powered tools to discover and confidently \n use enterprise data. \n • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. \n • Optimize data transformation pipelines and semantic models for performance, scalability, and \n cost through incremental loading, partitioning, and efficient query design. \n • Apply appropriate data access controls, privacy protections, security standards, and \n auditability requirements in collaboration with information security and compliance teams. \n • Review technical deliverables, mentor junior analysts and engineers, and promote best \n practices in analytics engineering and data modeling. \n • Contribute to the development of reusable templates, technical standards, frameworks, and \n onboarding documentation. \n • Evaluate emerging tools, technologies, and architectural approaches to continuously improve \n the data and analytics ecosystem. \n • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and \n communicate resolutions and business impact effectively to technical and non-technical \n stakeholders. \n \n Required Knowledge, Skills & Qualifications \n • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information \n Systems, or a related field, or equivalent practical experience. \n • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence \n development, with demonstrated experience delivering production-grade data models. \n • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension \n tables, and slowly changing dimensions (SCD). \n • Hands-on experience with dbt in production environments, including modular model \n development, testing, documentation, macros, incremental models, and deployment \n practices. \n • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, \n and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or \n BigQuery. \n • Strong Power BI experience, including semantic model design, DAX, row-level security, and \n governance of shared datasets. \n • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, \n metadata, and documentation required to support reliable AI-driven insights. \n • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as \n Azure DevOps or GitHub Actions. \n • Proficiency in Python for scripting, automation, and data validation. \n • Experience implementing data quality, testing, monitoring, and observability practices. \n • Ability to translate complex or ambiguous business requirements into clear technical designs \n and communicate architectural decisions and trade-offs effectively. \n • Strong written and verbal communication skills, with the ability to collaborate across technical \n and business teams. \n • Understanding of data privacy, security, governance, and compliance principles. \n \n Preferred Qualifications \n • Experience in financial services, wealth management, banking, healthcare, or other \n regulated industries. \n • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. \n • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft \n Fabric. \n • Exposure to modern data architecture patterns, including medallion architecture, data lakes, \n lakehouses, and enterprise data warehouses. \n • Experience working with AI-powered analytics, natural language querying, and enterprise data \n governance for AI adoption. \n \n What We Offer \n • Opportunity to work on modern data engineering and analytics transformation initiatives. \n • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and \n modern data platforms. \n • Opportunity to work with emerging AI technologies and help shape the future of enterprise \n analytics. \n • A collaborative, technology-driven environment with opportunities for continuous learning and \n professional growth. \n • The opportunity to take ownership, influence technical direction, and contribute to building \n Neutrino's Data & Analytics practice. \n \n About Neutrino Advisory \n Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. \n \n \n We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Applied Researcher 5 (AI Foundations)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview:\n\n\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Job DescriptionDirector – Front Office Rates & Swap Technology LeadRole Overview We are seeking a senior technology leader with 10 years of institutional financial services experience to oversee production stability, execution connectivity, and application support for our Rates and Interest Rate Swaps (IRS) trading desks. In this high-impact position, you will act as the primary interface between Front Office traders, sales desks, middle office operations, internal engineering teams, and key external trading venues. The ideal candidate brings strong derivative product knowledge paired with a hands-on technical support background to maintain a high-availability trading ecosystem, streamline electronic execution, and deliver strategic platform upgrades. Key ResponsibilitiesFront Office Support & Operational Excellence Direct production support operations for high-frequency Interest Rate Swap and fixed income trading platforms, ensuring peak system performance and zero unexpected downtime during market hours. Actively monitor execution pipelines, real-time pricing feeds, order-routing gateways, and risk capture interfaces. Lead end-to-end incident management for critical platform issues, coordinating resolution efforts across infrastructure, networking, vendor, and business teams. Conduct thorough root-cause analyses (RCA) following outages and establish preventative controls to eliminate recurring operational friction. Electronic Trading & Venue Connectivity Oversee and optimize Dealer-to-Client (D2C) electronic execution workflows and venue connectivity. Direct onboarding, API updates, venue certifications, and protocol changes with external execution platforms and liquidity venues. Monitor trade execution speeds and order flow health, partnering with engineering teams to resolve latency or connectivity bottlenecks. Stakeholder Engagement & Delivery Management Serve as the principal technology liaison for Swap traders, desk heads, sales representatives, and operational partners. Translate front-office business needs into technical user stories, prioritizing desk requests, platform enhancements, and workflow automation. Lead technology initiatives for new financial product rollouts, regulatory reporting mandates, and infrastructure modernization projects. Oversee release validation, testing protocols, and deployment schedules to ensure seamless, risk-free platform updates. Risk, Governance & Team Leadership Enforce operational risk controls, audit compliance, SOX guidelines, and user permission frameworks across all supported systems. Manage technology vendor relationships, tracking SLA performance, contract renewals, and software upgrade paths. Provide technical leadership and operational guidance to junior support engineers and platform analysts. Required Qualifications Experience: Minimum 10 years of technology experience within Financial Services, with a concentration in Front Office desktop support and trading systems engineering. Domain Knowledge: Comprehensive understanding of Interest Rate Swaps (IRS), rate derivatives, and general fixed income trade lifecycle workflows. Platform Expertise: Proven operational experience supporting ION Trading application suites. Execution Venues: Direct experience supporting electronic D2C trading venues, specifically Tradeweb and Bloomberg D2C. Communication: Exceptional written and verbal communication skills, with a track record of effectively managing senior business stakeholders under high-pressure live trading conditions. Preferred Qualifications Experience with Murex risk, pricing, or trade-processing platforms. Hands-on technical troubleshooting capabilities in Linux environments, SQL querying, and advanced Excel data analysis. Broad product knowledge across adjacent Fixed Income asset classes (e.g., Treasuries, Futures, Corporate Bonds). Proven experience navigating regulatory and audit control frameworks within a capital markets environment.

A leading global financial services organization to identify a Payroll Associate to join its Global Payroll team. This is an excellent opportunity for a payroll professional with financial services experience and strong Workday expertise to take ownership of U.S. payroll operations while supporting a globally distributed team.\n \n Compensation: $65,000-80,000 \n Schedule: Onsite 3 days/week Responsibilities \n\n • Manage and/or review biweekly U.S. payroll processing, ensuring accuracy and compliance across multiple states and entities.\n, • Maintain accurate payroll records and perform audits related to new hires, terminations, employee transfers, leaves of absence, and other employee changes.\n, • Reconcile payroll settlements and 401(k) submissions.\n, • Prepare and review payroll-related journal entries and reconciliations.\n, • Research and resolve payroll discrepancies, tax notices, garnishments, and employee tax-related inquiries.\n, • Partner with internal stakeholders, external auditors, and third-party payroll vendors to address payroll-related requests.\n, • Support year-end payroll processes and reporting requirements.\n, • Assist with payroll projects, vendor implementations, workflow improvements, and process enhancements.\n, • Contribute to the development and improvement of payroll procedures and controls.\n, • Provide payroll support and collaborate with global team members as needed. \nQualifications \n\n • 3+ years of multi-state, multi-entity payroll experience.\n, • Experience working within a financial services organization required.\n, • 2+ years of hands-on Workday Payroll experience, including full-cycle processing, reporting, troubleshooting, validation, and auditing.\n, • Demonstrated experience managing the end-to-end payroll cycle.\n, • Experience processing U.S. multi-state payroll.\n, • Intermediate Excel skills and experience with payroll reconciliations and journal entries.\n, • Strong analytical, problem-solving, and organizational skills with exceptional attention to detail.\n, • Excellent written and verbal communication skills.\n, • Ability to independently manage responsibilities, troubleshoot issues, and meet deadlines in a fast-paced environment. \nFor immediate consideration, please reach out directly to Kelly Lucey at klucey@daleyaa.com

Financial Reporting Supervisor / Financial Reporting Manager \n Location: New York, NY \n Department: Finance \n Compensation: $145,000 – $190,000 \n\n • Financial Reporting Supervisor: $145,000 – $175,000\n, • Financial Reporting Manager: $165,000 – $190,000\n\n Employment Type: Full-Time | Exempt \n Reports To: Chief Financial Officer \n \n Plona Partners is partnering with an established, highly regarded law firm seeking an experienced Financial Reporting Supervisor / Financial Reporting Manager to strengthen and modernize its financial reporting and business intelligence capabilities. This opportunity is ideal for an accomplished law firm finance professional who combines extensive financial reporting expertise with strong technical capabilities, strategic thinking, and a demonstrated ability to improve reporting infrastructure. \n \n The successful candidate will play a key role in enhancing firmwide reporting across revenue, billing, collections, compensation, profitability, budgeting, and overall financial performance. \n Working closely with the Chief Financial Officer and cross-functional stakeholders, this individual will help establish more efficient reporting processes, strengthen financial data integrity, and provide actionable insights that support executive decision-making. \n \n The firm is open to candidates at both the Supervisor and Manager levels, with title and compensation determined by experience, technical expertise, and leadership capabilities. \n \n Key Responsibilities \n Financial Reporting & Business Intelligence \n\n • Oversee and enhance the development of firmwide financial and operational reports.\n, • Analyze key financial metrics, including revenue, profitability, realization, utilization, and collections.\n, • Develop reporting relating to attorney productivity, billable hours, missing time, and compensation.\n, • Oversee reporting involving WIP, billing rates, accounts receivable, and cash flow.\n, • Support partner compensation, origination, commission, and credit allocation reporting.\n, • Enhance financial statement reporting, including profit and loss, balance sheet, and cash flow analysis.\n, • Support annual budgeting, forecasting, and financial planning initiatives.\n, • Prepare executive-level reporting and analysis to support strategic decision-making.\n\n Reporting Strategy & Process Improvement \n\n • Evaluate existing financial reporting infrastructure and identify opportunities for modernization.\n, • Lead initiatives to streamline, standardize, and automate financial and operational reporting.\n, • Reduce manual reporting processes and improve reporting accuracy, consistency, and accessibility.\n, • Develop reporting standards, controls, and best practices.\n, • Identify reporting gaps and recommend enhancements to financial systems and analytical tools.\n, • Improve the timeliness and reliability of financial information provided to leadership.\n\n Financial Systems & Data Management \n\n • Utilize legal financial systems such as Elite 3E, Aderant, Iridium BI, or comparable platforms.\n, • Oversee the extraction, validation, and analysis of financial and operational data.\n, • Ensure consistency between source-system data and reporting outputs.\n, • Collaborate with IT and financial systems professionals to troubleshoot reporting discrepancies.\n, • Support improvements to financial data governance, reporting logic, and data integrity.\n, • Evaluate opportunities to leverage business intelligence and reporting automation tools.\n\n Strategic & Cross-Functional Leadership \n\n • Partner closely with the Chief Financial Officer and senior finance leadership on reporting strategy.\n, • Collaborate with Accounting, Billing, Finance, and IT to improve reporting workflows.\n, • Deliver actionable insights regarding profitability, realization, collections, and broader financial performance.\n, • Identify financial trends, operational risks, and opportunities for improvement.\n, • Present financial findings and recommendations to senior stakeholders.\n, • Coordinate reporting initiatives across departments and support the development of more effective financial reporting practices.\n, • Provide guidance and subject-matter expertise to colleagues involved in financial reporting activities.\n\n \n Required Qualifications \n\n • Minimum of five years of progressive experience in financial reporting, financial systems, or finance analytics within a law firm or professional-services environment.\n, • Extensive experience developing and enhancing financial and operational reports.\n, • Strong understanding of law firm financial operations, including revenue, billing, collections, compensation, and profitability.\n, • Advanced Microsoft Excel proficiency.\n, • Demonstrated ability to improve reporting processes and financial data accuracy.\n, • Strong analytical and problem-solving capabilities.\n, • Experience collaborating with senior finance leadership and cross-functional teams.\n, • Ability to translate complex financial information into clear, actionable business insights.\n, • Excellent written, verbal, and presentation skills.\n, • Strong organizational skills and ability to manage competing priorities.\n, • Proactive approach to identifying reporting inefficiencies and implementing solutions.\n\n Preferred Qualifications \n\n • Experience with Elite 3E, Aderant, or Iridium BI.\n, • Proficiency with Power BI or comparable reporting and visualization platforms.\n, • Familiarity with SQL, reporting cubes, and financial data models.\n, • Experience leading reporting optimization, automation, or financial systems enhancement initiatives.\n, • Background in law firm profitability analysis, budgeting, and financial performance reporting.\n, • Previous supervisory, managerial, or project leadership experience.\n, • Experience presenting financial insights to executive leadership.\n, • Demonstrated success improving reporting infrastructure within a sophisticated law firm environment.\n\n

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n 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. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • 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:\n, • 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\n, • 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)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • 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\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • 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 ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n 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). \n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: The Platform API team builds the cross-platform APIs and abstractions that give the CrowdStrike Falcon sensor a consistent programming interface across Windows, Linux, and macOS. The team owns the foundational layer that separates feature development from OS-specific implementation, including threading, file I/O, hashing, work queues, and memory management. Every engineering team that builds sensor capabilities depends on this layer, so its quality and correctness directly shape how quickly and safely CrowdStrike can deliver protection to customers. The team's scope is growing. A central focus is building a shared platform for on-sensor machine learning inference runtime: a stable C API, backed by an isolated out-of-process service, that runs models on hardware-accelerated backends on each platform. This runtime will make inference-based threat detection as accessible to engineering teams as rules-based detection is today, and it will enable CrowdStrike to bring the next generation of AI-powered protection to hundreds of millions of endpoints. We are looking for a Senior Engineering Manager with deep systems expertise and strong organizational leadership to guide this team. You will own the technical roadmap, lead the inference runtime from early design through production delivery, make key decisions on API design and long-term compatibility, and build the partnerships needed for broad adoption across the sensor organization. You will collaborate closely with Windows, Linux, and macOS engineering teams, platform infrastructure teams, and partners in product and program management. What You're Stepping Into The Platform API team is at an inflection point. As the Falcon sensor continues to grow in capability and reach, a unified, well-tested platform abstraction layer has become essential to how CrowdStrike builds. Consolidating platform behavior across Windows, Linux, and macOS into a single consistent foundation will improve quality, performance, and delivery speed for every team that builds on the sensor. This is a multi-year effort, and you will own its roadmap, its strategy, and its execution. At the same time, the team is building one of the most significant new capabilities in the sensor platform: an on-sensor ML inference runtime designed from the ground up. The API design, execution model, and first production integrations are in active development now. Your leadership will shape how quickly CrowdStrike can deliver AI-powered detections to hundreds of millions of endpoints, and how easily teams across the company can bring new models to the sensor. If you are energized by building, this is your opportunity to shape a team's identity, expand its scope, and earn broad organizational trust through technical excellence. Your work will be visible across the entire sensor organization, and you will lead a team whose platform the rest of the company relies on every day. Location: This role is hybrid, requiring 2x days per week on-site at one of the posted locations. What You'll Do: Technical leadership • Set architectural direction for cross-platform API components, including threading, file I/O, hashing, work queues, and memory management, • Lead the architecture and delivery of the centralized platform for on-sensor ML inference runtime, including C API design for ABI stability and cross-language use, the out-of-process execution and sandboxing model, and backend selection and versioning policy across platforms, • Make critical design decisions on what is implemented once versus per platform, what runs in-process versus out-of-process, and how kernel-mode and user-mode constraints shape each component, • Drive consistent adoption of platform APIs through linting, automated code review, and clear usage guidance, so that standards scale across a large engineering organization, • Participate actively in design and code reviews, and develop a deep understanding of the team's API contracts, compatibility constraints, and failure modes Team leadership • Hire, coach, and grow engineers through honest, frequent feedback and genuine investment in their careers; lead the full recruitment process from initial contact through successful onboarding, • Build team cohesion, resolve interpersonal friction, and create an environment where engineers can do their best work, • Support your team through resourcing decisions, career development, and difficult conversations when they are needed Delivery and operations • Own project resourcing and workload, including knowing when to say no and when to defer; keep the team on track and adapt as priorities change, • Own the quality bar for everything the team ships; manage support escalations and build strong working relationships with the platform and partner teams who depend on your components, • Drive continuous improvement in end-to-end testing and validation for components with strict correctness and compatibility requirements, including tooling that lets engineers validate against the platform without building the full sensor, • Build a data-driven roadmap that uses performance telemetry and defect trends to prioritize work, and communicate investment needs and progress clearly to senior leadership Engineering Managers at CrowdStrike are hands-on technical leaders. You will not be expected to write code on the critical path, but you will need a deep understanding of the API contracts, compatibility constraints, and cross-platform systems your team owns. That understanding lets you troubleshoot effectively, give substantive feedback in code reviews, and redirect a design when it is heading the wrong way. It also makes you a trusted advisor to leadership, able to represent your team in cross-functional discussions and turn complex technical tradeoffs into clear recommendations. What You'll Need • Proven experience managing software engineering teams, built on a strong foundation as a software developer, • Hands-on background in low-level systems software, with deep expertise in C and/or C++ in both user-mode and kernel-mode environments, • Strong grounding in API and interface design, including interface clarity, ABI stability, backward compatibility, and managing the downstream impact of breaking changes across a large codebase, • Cross-platform experience across Windows, Linux, and macOS, with the ability to reason about portability, behavioral consistency, and platform-specific constraints, • Familiarity with out-of-process architecture patterns, including sandboxed service isolation, inter-process communication (IPC), and the performance tradeoffs of crossing process boundaries, • Experience owning production software at scale, with a clear understanding of the cost of correctness regressions on software that runs continuously on customer endpoints, • Strong design and problem-solving skills, a genuine passion for engineering excellence, quality, security, and performance, and the ability to raise those standards across a team, • Demonstrated success mentoring, coaching, and developing engineers, • Experience leading distributed teams while maintaining trust, velocity, and clarity, • Strong cross-functional collaboration skills, with a track record of building credibility and influence across engineering, product, and program management, • Clear, direct communication at every level, from individual contributors to executive leadership, • Intellectual curiosity and a commitment to deeply understanding systems before changing them, • Ability and willingness to travel occasionally for team offsites and in-person meetings, • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points • Background in endpoint security, EDR, kernel-level software, or sensor platform engineering, • Experience designing or maintaining cross-platform API layers consumed by multiple teams in a large C/C++ codebase, • Experience building or leading teams that build on-device ML inference infrastructure, including running machine learning models and small language models (SLMs) on resource-constrained endpoints while balancing model size, latency, and resource consumption, • Experience with hardware-accelerated inference across GPU, NPU, and Apple Neural Engine (ANE), including hardware capability detection, backend selection, and graceful fallback to CPU, • Familiarity with model execution frameworks such as ONNX Runtime, OpenVINO, or Core ML, including runtime versioning and static versus dynamic linking tradeoffs, • Experience designing out-of-process inference pipelines, including sandboxed execution for resource isolation and fault containment, low-latency IPC for model input and output, and telemetry for inference performance and hardware utilization, • Understanding of the model lifecycle at fleet scale, including staging, versioning, and silent validation before production rollout, particularly for SLM and large language model (LLM) workloads where inference cost and behavioral correctness both matter, • Experience designing cross-language integration surfaces, such as C APIs consumed from Rust, Swift, and C++, • Experience establishing API governance through tooling, such as lint rules, automated policy checks, and structured feedback loops with consuming teams, • Experience leading teams through significant growth or an expanding scope, • Prior work in environments where reliability is non-negotiable at massive fleet scale #LI-CW1 Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at _ for further assistance. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We're looking for a Senior UI Platform Engineer to lead the design and build of the shared developer tooling foundation for our next-generation front end. It's a strategic role for someone who wants to shape how hundreds of UI engineers scaffold, build, integrate and ship their code across the organisation. UI Platform owns the paved road for UI engineering at CrowdStrike. As Product Groups migrate onto the new UI, we're consolidating developer tooling, build infrastructure, dependency management and CI into a single internal platform that teams pick up themselves. This role is central to that mission and you'll build the module federation foundations, build pipelines, scaffolding and automation that every UI team relies on to stay productive at scale. What You'll Do: • Own the module federation architecture that lets dozens of Product Groups ship independent microfrontends into a single UI shell, keeping contracts stable, versions honest and cross-team breakage rare., • Lead the shared Vite build and dev-server tooling that every UI engineer runs locally and in CI, keeping hot reload fast, sub-package watch reliable and cold starts honest., • Design and run the CI pipelines that build, verify and publish every UI package across GitLab CI and Jenkins, keeping them fast, cacheable and giving engineers a clear signal when something breaks., • Ship the single CLI that is the front door to the platform to scaffold a repo, wire it into module federation, run its tests, cut a release with one command for everything a UI engineer does locally and in CI., • Wire automated dependency management (Renovate), security scanning and AI-assisted upgrades into the paved road so version bumps, vulnerability response and monorepo hygiene don't fall on individual teams., • Shift left: move linting, type checks, build validation and contract checks into the developer's editor and pre-push hooks so engineers catch issues in seconds, not in a failed pipeline twenty minutes later., • Work with UI Quality, UI Release and Observability so the platform feels like one thing through a single CLI., • Pair with Product Group leads to migrate legacy build and tooling patterns onto the paved road and get the tooling strategy adopted across the organisation., • Mentor engineers on build tooling, module federation and monorepo patterns, and give thoughtful code review across the platform and its consumers., • Build the ephemeral environments and preview deployments per MR so engineers get fast, honest feedback on their changes before they merge. What You'll Need: • You've built shared frameworks, tooling or platforms that other engineers rely on day to day., • You know Vite and modern front-end build tooling well, and you're comfortable diagnosing issues deep in the module graph., • You've shipped module federation (or equivalent microfrontend architecture) in production at scale, and you understand the versioning, contract and runtime pitfalls., • You're fluent in TypeScript, monorepo tooling (Nx, Turborepo or similar) and modern package management (pnpm workspaces)., • You've designed GitLab CI pipelines that stay fast and reliable and give engineers a clear signal when something breaks., • You've automated dependency management (Renovate or similar) and pulled security tooling (SAST, SCA, Snyk) into developer workflows., • You've set engineering standards that autonomous teams have genuinely adopted, and you can influence senior engineers and leaders when it matters., • You've used AI in earnest to change how engineering work gets done, not as a novelty., • You don't need to tick every box. If most of the "What you'll need" list sounds like you, we'd like to hear from you., • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: • Playwright and modern browser test tooling wired into CI as a fast, reliable signal., • Running Jenkins alongside modern CI during a platform migration., • Ephemeral preview environments per MR and the infrastructure automation behind them., • Developer experience metrics like DORA or SPACE, and using them to drive tooling investment., • Contract testing between federated remotes in a large distributed front end. #LI- GO1 Benefits of Working at CrowdStrike: • Market leader in compensation and equity awards, • Comprehensive physical and mental wellness programs, • Competitive vacation and holidays for recharge, • Paid parental and adoption leaves, • Professional development opportunities for all employees regardless of level or role, • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections, • Vibrant office culture with world class amenities, • Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing this website, submitting an application, requesting an accommodation, or providing feedback on the job posting, please contact us at _. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _.