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Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Fleet Supervisor to join our UniFirst community. As a Supervisor in the Maintenance Department, you will be ensuring our fleet vehicles are properly functioning and regularly maintained as well as managing and mentoring our Fleet Technicians. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime. We have an immediate opening and provide on the job training. Pay & Benefits: On the job training & great hourly pay + 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Direct Payroll Deposit, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds. We believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome. What you’ll be doing: • Manage overall upkeep and maintenance of fleet vehicles., • Verify that the appearance of fleet vehicles meet UniFirst standards., • Ensure vehicle compliance and safety requirements are met., • Implement preventative maintenance programs for vehicles and equipment, and schedule predictive & preventative maintenance., • Mentor, manage, and motivate performance of Fleet Technicians., • Provide ongoing learning and development opportunities for all Team Partners., • Produce reports related to work performance and departmental budget., • Develop and maintain relationships with vendors to ensure best pricing for vehicle parts., • Plow and salt location parking lot as needed., • Utilize a Computerized Maintenance Management System. What we’re looking for: • High school diploma or GED required., • Must be 21 years of age or older., • 5 years of equivalent experience required., • Valid driver's license and a safe driving record are required. A CDL license is preferred., • Must meet DOT requirements., • Strong leadership and communication skills; ability to train potential techs., • Must have experience in the use of diagnostic software and fleet management systems., • Ability to work overtime as needed is required. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 2 billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 14,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you need accommodation for any part of the application process because of a medical condition or disability, please send an e-mail to ___ or call ___ to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

Senior Lead AI Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Earn big and work on your own time and terms as a Grubhub delivery partner! Grubhub is looking for drivers and bikers like you to hit the road quick and start delivering from restaurants, liquor stores, convenience stores, and more. Looking for a flexible way to earn extra cash? Grubhub is the gig for you. \n\n Why deliver with Grubhub? \n• Earn competitive pay and keep 100% of your tips from completed deliveries \n• Create your own flexible schedule to work when you want \n• It's easy to get started, with no resume, interview, or experience required \n• Get paid instantly with Instant Cashout \n\n All you need to get started is: \n• A car (or scooter/bike in select areas) \n• Valid driver's license and auto insurance for drivers \n• Valid driver's license or state ID for bikers \n• Smartphone (with a data plan) \n\n Ready to hit the road? Download the app to get started! \n\n All drivers must also be at least 18 years of age (21+ in Las Vegas). Grubhub delivery partners are independent contractors, not employees of Grubhub.

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Hiring CDL-A Truck Drivers • EARN "THE BEST MONEY IN TRUCKING" - Start at 70CPM; min. $1,610/wk guaranteed, • RUN HARD. LIVE HARDER. - Extended miles, extended home time, premium pay It's pretty simple-we're a no-nonsense, no-bull trucking company run by grown-ups. We pay what we say and do everything we can to keep top drivers happy-at home and on the road. Apply today for more details. Road Warrior OTR Job Info • Not for every driver... Only the best. Road Warriors take on the miles others can't. Run long miles, earn big payoffs, and enjoy real rest (up to 20 days) when you're home., • Earn up to $2,000/week on top weeks. With industry-leading base pay (70CPM) and additional accessory pay and bonus incentives, Road Warriors make THE best money in trucking., • $1,610 weekly minimum guaranteed pay. We have skin in the game to keep you running. If you're giving us time, you're getting paid., • Drive reliable, modern equipment: Freightliner Cascadia refrigerated trailers; tractors with APUs, fridges, inverters and more., • $1,000 sign-on bonus paid with first check, • Competitive insurance benefits - medical, dental, vision, life, • Drop pay, detention pay, layover pay, • Clean inspection, safety, and referral bonuses Driver Requirements • Current Class A CDL

Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 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. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (MLX) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

• RUN YOUR BUSINESS, RUN UP YOUR PAY - Lease drivers gross $4,000-$5,000/week, • EARN MORE WITH EVERY LOAD - Up to 75% of linehaul + 100% FSC And drivers agree: in a recent survey, nearly 90% said P&S pays better than other carriers and is a better place to work. Want a driving job where you're valued, supported, and earning more? Fill out a quick form and talk to a recruiter today. • Big earnings, week after week. Lease drivers gross $4,000-$5,000 per week and average $1,800 net weekly, with strong, steady freight that keeps your business profitable and predictable., • More control, more opportunity. Earn 68-75% of linehaul (depending on tractor and trailer) and 100% fuel surcharge, with no forced dispatch, giving you the freedom to take the loads that fit your goals., • Home time that fits your business rhythm. Get home on weekends, so you can balance strong earning power with meaningful downtime to reset and recharge., • A driver-friendly setup that keeps you moving. Run steel coil, pipe, and building material loads, work with an assigned dispatcher, and access 24-hour support whenever you need it., • Newer trucks, built for contractors. Operate 2020-2023 Freightliner Cascadias + Internationals equipped with contractor-preferred specs., • Start easy with no credit check + $0 down. Walk in with zero upfront cost and build your business without the financial barriers and credit requirements of traditional ownership., • Simple weekly payments that keep you profitable. Truck payments range from $500-$650/week depending on model, with predictable costs that make budgeting and planning straightforward., • Strong discounts + settlement perks. Enjoy fuel discounts, EZ Pass, direct deposit settlements, and a program built to maximize cash flow and reduce overhead., • End-of-term flexibility. A balloon payment lets you finish the lease your way-giving you options for ownership without locking you into long-term risk., • $5,000 sign-on bonus, • $3,000 referral bonus There is no deadline to apply. Applications are accepted on an ongoing basis. • Valid Class A CDL

Senior Lead AI Engineer (GenAI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Francisco, CA: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description HVAC Service Technician You’re the best and you want to join a team that appreciates you, where you can create your own opportunities. Who We Are We keep on growing because we only hire the best, and our customers love us for it. We’ve been at this a long time here in Staten Island. You’ve probably seen our trucks and our ads. What you don’t know is what it’s like to be a part of a team like this. How much you feel appreciated when you don’t cut corners. How much we inspire ongoing training and education. How it feels to have customers rave about you and demand that you’re the only technician that works in their home. How much you can earn when you truly are the best. People often come to us looking for a job. They stay with us because they find a fulfilling career, room to grow, and opportunities to excel. What We Do We are a team of home service experts who go the extra mile to ensure peak performance for your home’s plumbing, heating, and air conditioning systems. What We Offer • Our top performers are among the highest-paid technicians in Staten Island. You’ll have unlimited earning potential. Starting at $35-40/hr + commissions., • Company supplied, take it home at night, new and safe, super-cool company truck., • Medical Insurance -- we pay 100% for you and your family's insurance premiums for health, dental, vision, life insurance, short-term and long-term disability., • New technology, including iPhone, iPad & access to integrated software., • State-of-the-art tools, parts and supplies., • 401k Plan with a company match. You will diagnose and repair heating and cooling systems and lead customers to informed and confident buying decisions by providing an extraordinary customer experience. Key Sub Tasks • Maintain communication with dispatch, your manager, parts, and installation teams., • Keep your company truck clean, inside and out., • Keep your truck inventory up to date., • Properly complete paperwork., • Join the on-call rotation., • Maintain a clean and professional appearance., • Have and maintain a clean driving record., • Participate in training allowing you to grow and develop as a professional. If you can achieve the above and you find it fun and challenging - you have just the right amount of skill and experience. If you want to be part of something bigger than just a job – make this career move and find exactly what you’re looking for. Apply today! Equal Opportunity Employer Powered by JazzHR oQTheGyPdv

Position Description Ryder is hiring a Class A CDL Truck Driver in the Newark, NJ — offering weekly pay, excellent benefits, and a driving career you can feel good about. See and Hear from a Ryder Employee who Drives for Us Here: You might be wondering what your paycheck will look like. $1700 or more per week - And it gets better • Driver Positions Pay Weekly, • Home at least every other weekend., • Must be able and willing to drive into Canada, • Solo Miles Pay: $0.59 per Mile with 2000 - 2500 Miles per Week, • Van Stops Pay: $16.37 per Stop Plus $107.56 per Dry Van unload., • Average 8-10 stops per week, • Rolling stop pay $28.20, • Safety Bonus: Pays You $250 Four Times A Year, Every Quarter, • Loyalty Bonus: Pays you $2000 at 6 months and $2000 at 1 year Spots are filling fast — click apply now to secure your spot. Questions? Call Crystal or Text “Newark” to 904-541-8608 to speak with your recruiter today. We know choosing a driving career is a big decision. That’s why we’re upfront about pay, routes, and schedules — so you can feel confident joining the Ryder team. • Deliver SOLO To: From North Dakota to Texas and all states east as well as Canada., • Tractor Type: Sleepers with APUs, • Trailer Type: Dry Van and Conestoga Experience Preferred, • Companion Policy: Bring a person and/or pet on the road with you!, • Load Securement: Strapping, • Freight: Touch - Hand Unloading is Required, • Freight Type: Commercial and Residential Garage Doors Our Drivers tell us Carrier Transparency is top priority. Don’t spend time applying for jobs with ‘Average Pay’ or confusing pay structures. We know you’re essential to keep our economy afloat. Your trust, safety and security is our top priority. You will work with the Safest and most Reliable Fleet in the Industry. You Deliver for us so we make sure to Deliver for you! All the benefits you expect — without the wait. • Medical, Dental & Vision after 30 days, • 80 hours PTO your first year, starting Day 1(use it or get paid for it), • Uniforms, cell phone & boot allowance provided, • Drivers are the Captain — you make safety decisions, and your job is protected, • 401(k) rollover available now + company match at 1 year, • 12 weeks paid maternity leave(subject to specific eligibility criteria, including work tenure) Thinking about becoming a Company Driver? Ryder will purchase your truck and support you every step of the way, so you can focus on driving—not the details. At Ryder, you’re joining more than a company — you’re joining a community of proud women and men in logistics, including Military Reservists and Veterans. Know great drivers — get paid for it. Ryder pays unlimited referral bonuses for hired drivers. EEO/AA/Female/Minority/Disabled/Veteran Requirements • Minimum 21 years of age, • Pass a Ryder Drug Test, • Pass a Ryder Background and Motor vehicle check including Drug and alcohol verification from previous employers for the last 3 years, • Pass a DOT physical, • Pass a Ryder road test, • Provide appropriate CDL and endorsements for the position, • Must have Class A verifiable experience in a tractor trailer or comparable vehicle:, • 9 months experience within the past 3 years, OR, • 2 years’ experience within the last 5 years, OR, • 5 years’ experience within the last 10 years, • Ability to follow written and/or oral instructions Responsibilities • Ensuring compliance with applicable federal and/or state laws, regulations, and/or agency rules, standards and guidelines, • Detecting and eliminating or minimizing safety hazards Maintaining accurate records and logs, • Loading/Unloading freight or assisting in the loading/unloading of freight if required by customer Posted Date 9 hours ago (3/27/2026 10:39 AM) Requisition ID 2026-198588 Primary State/Province NJ Primary City NEWARK Location (Posting Location) : Postal Code 07105 Category Drivers Regional/OTR Solo Employment Type Regular-Full time Travel Requirements Driver Position Code 1000999

Lead AI Engineer (GenAI Platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Western Express is Now Seeking Lease Purchase Drivers!Earn Up to $200,000 per Year!No Money Down, No Interest, No Balloon Payment, No Credit Check HAVE YOUR CDL-A? APPLY NOW or SPEAK WITH A SEATING SPECIALIST TODAY! We Offer: • Real rates - Earn $1.25 - $2.00 per mile + industry-leading fuel surcharge!, • Go big - Earn up to $200,000 per year!, • Go home – No forced dispatch; Choose your home time!, • Great selection of new and used trucks, • Low weekly payments (between $575 - $745/Week!), • No money down, no interest, no balloon payment, no credit check!, • Ownership in 3-5 years (depending on year/make/model selected), • Business tools and guidance to help you manage and grow your business, • Access to some of the most inexpensive insurance in the industry, • Big discounts on fuel and tires, • BestPass to cover all toll expenses, • 24/7 operations and maintenance support, • With our new LP Pro Mobile app, you can easily choose loads, communicate with Ops, view documents and more! Have you ever dreamed of owning your truck and being your own boss? Come experience the many reasons why Western Express is the best place to live out those dreams! This program was built for you to succeed, become an owner operator, and own your future. Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down, no credit check and no balloon payment, this walk-away lease is simply the best ownership program in the industry. Requirements: • Valid CDL-A (No Experience Required), • 21 Years of Age or Older INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer! Call today for more details on how you can add up to 50% of your revenue! Have you been out of driving for 3 years or more? Are you a recent CDL-A graduate? Call us for information about our Refresher Program today! HAVE YOUR CDL-A? APPLY NOW or SPEAK WITH A SEATING SPECIALIST TODAY! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. By submitting my information, I consent to receive calls, text messages, and emails from the company, including information about my application, eligibility, opportunities, and other advertising and telemarketing messages. I agree that calls may be made using an automatic telephone dialing system and/or an artificial or prerecorded voice and that messages and emails may be sent using automatic messaging systems. I understand that I may opt-out at any time by pressing "0" during the calls, by texting "STOP" in response to the text messages, or by clicking the provided “unsubscribe” link in the emails. I additionally agree that Western Express, Inc.'s service provider receives in real-time and logs your text messages and emails with Western Express, Inc.

Applied Researcher I Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications [choose correct set based on focus of role]: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished Applied Researcher Overview: 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. Team Description: 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Owner Operator | Dry Van Location: Hoboken, NJ Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age

Our Story At Madewell, we believe that great style starts with great design. Since 2006, we’ve been creating premium denim and foundational wardrobe pieces for men and women that balance quality, authenticity, and versatility. From iconic jeans perfected by denim experts to the essential tee, the most versatile shoe, and the timeless leather bag—if it’s Madewell, it’s made well. Our dedication to Diversity, Equity, Belonging & Sustainability has been celebrated with industry recognition, reflecting our commitment to fostering an inclusive and sustainable workplace Director of Social & Content Strategy with a strategic vision to move the brand forward through a creative-led lens. This leader will define how Madewell shows up across platforms, shaping a cohesive, culturally relevant content ecosystem that drives both brand heat and business impact. Candidates should have expertise in three key areas: • Content Strategy: This role will lead the development of multi-dimensional content strategies, including brand campaigns, with a social-first approach. As a key cross-functional partner, they will drive strategies that support business priorities, delivering best-in-class creative content for strategic initiatives across owned, paid, and earned channels. They will establish a clear content architecture and narrative framework that ensures consistency across campaigns, channels, and customer touchpoints., • Social Media: The ideal candidate brings a deep understanding of social media marketing and how to effectively scale content across platforms. With a forward-thinking, insight-driven mindset, this role will leverage consumer behavior and cultural trends to translate Madewell’s brand direction and strategy into impactful, global brand moments. They will own the evolution of Madewell’s social voice and presence, ensuring it remains distinctive, culturally fluent, and aligned with brand positioning., • Digital Innovation: This role will partner closely with social platforms to shape and advance innovative strategies, ensuring Madewell remains at the forefront of emerging formats, tools, and content opportunities. They will proactively identify and pilot new formats, technologies, and platform capabilities, translating them into scalable opportunities for the brand. Responsibilities • Define and oversee the end-to-end content lifecycle—from concept through production to distribution—ensuring efficiency, quality, and alignment with brand standards, • Develop a content strategy that supports brand and marketing objectives across all digital channels based on insights and learning , including Instagram, TikTok, and Substack, as well as emerging social channels, • Establish KPIs and success metrics for social and content performance, tying creative output to measurable business outcomes, • Build strong relationships with creative, brand marketing, performance marketing, merchandising, and styling teams to drive creative alignment and advancement across the digital ecosystem. Partner with Creative, Editorial, and Production teams to translate campaign ideas into platform-native content that performs across channels, • Partner closely with influencer marketing to develop campaign strategies (across all channels, with a focus on TikTok), including talent selection, vetting, briefing, and creative direction to ensure best-in-class execution, • Collaborate with Performance Marketing to optimize paid social strategies, ensuring creative is tailored for conversion while maintaining brand integrity, • Directly manage a team of creative strategists and social experts, fostering a high-performance culture and elevating creative output across channels, • Recruit, develop, and retain top talent, building a best-in-class social and content team, • Lead content planning and editorial calendar development, ensuring a consistent cadence of storytelling, product focus, and cultural relevance, • Build franchises, strategies, guides, and systems to ensure consistency across the content landscape, • Identify and build scalable content formats and repeatable series that drive engagement and brand recognition over time, • Develop strong relationships with key platforms to unlock innovation, early access opportunities, and go-to-market partnerships, • Manage budgets related to content production, creators, and platform partnerships, ensuring efficient allocation of resources, • Monitor trends in social media tools, applications, channels, and competitors to ensure Madewell remains at the forefront of social creativity and innovation, • Manage monthly content reporting processes to create actionable insights; integrate data into broader creative campaigns to deliver data-driven content, • Oversee community management strategy, ensuring a consistent and thoughtful brand voice in customer interactions Qualifications • 8+ years of relevant experience managing social, influencer, and content programs for global brands., • Exceptional social and digital brand skillset with a powerful creative and data-centric mindset, • Extensive experience in the content creator economy, ensuring creativity and community remain at the forefront., • Significant and proven leadership experience, with evidence of driving business change/ growth Ability to translate briefs into actionable insights for creatives., • Excellent editorial/creative judgment and ability to capture Madewell’s brand to reach new and legacy consumers., • Conduent, collaborative, and communicative with a desire to thrive in a fast-paced environment., • Pro-active problem solver and critical, creative thinking a must., • Powerful collective mindset, building robust and long-term partnerships internally and externally., • Ability to balance business and brand considerations in both big-picture and day-to-day ways, • A strong team player and a self-starter – collaborative, proactive, and enthusiastic to drive teams to results, • Thought leadership and solutions driven with the ability to navigate a matrixed and multi-stakeholder organization, • Excellent organization, communication, interpersonal, and project management skills, • Exemplary written and oral communication skills with experience producing content for C-Suite presentations. We welcome you to apply, even if you don't check all the boxes. Our passion is scouting life-long learners who are driven by curiosity, and who feel connected to our brands and share our desire to make an impact. We’re always seeking bright new talent who leverage their unique experiences to discover, grow and evolve with our teams. Benefits + Perks • Health & Well-being - Eligible associates and family members receive medical, dental, prescription and vision insurance, family planning (fertility, adoption & surrogacy support), fitness discounts, medical travel and more., • Associate Discount - We love our products just as much as you do! That’s why we offer a great associate discount across all of our brands (J.Crew, J.Crew Factory, and Madewell)., • Summer Fridays - In addition to our hybrid work model, we also close our office at 1:00 PM every Friday during the Summer months., • Community Impact - We support the communities where we live and work through our philanthropic efforts and the J.Crew Cares Program., • Winter Break - In addition to our PTO package, J.Crew Group offers a winter break at the end of December to eligible full-time associates at the Home Office to provide time to refresh and recharge. Note: Availability of these benefits and perks may be subject to work location & employment type and may have certain eligibility requirements. At J.Crew Group (JCG) we aim to pay competitively for our company’s size and industry. The base salary offered will take into account internal equity and may vary depending on the candidate’s geographic region of work premises, job-related knowledge, skills, and experience among other factors. The base salary is just one component of J.Crew Group’s competitive total rewards strategy that also includes the opportunity for bonus, competitive benefits and perks. One of our core focuses here at JCG is creating a community and culture that builds belonging. We are deeply committed to our Diversity, Equity and Inclusion efforts, and we warmly welcome job applicants of all backgrounds. JCG is proud to affirmatively provide equal opportunity to all associates and qualified applicants without regard to race, color, religion, national origin or citizenship, age, sex, marital status, ancestry, legally protected physical or mental disability, veteran status, gender identity, sexual orientation or any other basis protected under applicable law.

Director of HR, Retail Location: New York City (On-Site) Department: Human Resources Reports To: Chief Human Resources Officer About G-III Apparel Group: G-III excels at bringing excitement and confidence to customers through the fashion we create. We are global experts in design, sourcing, manufacturing, distribution and marketing, which enables us to fuel the growth of a substantial portfolio of brands. With more than 30 licensed and owned brands, including some of the most sought-after names in global fashion, our success is driven by our team’s entrepreneurial spirit and our deep relationships across the industry. Position Summary: We are seeking a seasoned Director of HR, Retail to lead HR strategy, employee relations, and compliance across our multi-state retail store fleet. Reporting to the Chief Human Resources Officer, this role is a key advisor to retail field leadership and will ensure consistent, legally sound HR practices that support a high-performance, customer-focused culture. The ideal candidate is a strategic and experienced HR leader with deep expertise in retail operations, employment law, and multi-state compliance. Key Responsibilities: • Lead employee relations strategy and oversee complex workplace investigations, • Ensure compliance with federal, state, and local employment laws across multiple jurisdictions, • Partner closely with Legal on risk mitigation, litigation support, and sensitive matters, • Coach and advise retail leadership on performance management, policy interpretation, and documentation standards, • Deliver compliance and management training to support operational excellence across stores, • Develop and implement HR strategies that align with retail business objectives, • Support workforce planning and organizational development initiatives within the retail division, • Drive a culture of accountability, inclusion, and high performance across the store fleet Who You Are: • A team player who collaborates easily and supports others, • A strategic thinker who sees the big picture and plans ahead, • A strong communicator who can clearly express ideas and listen actively, • A self-starter who takes initiative and drives work forward, • A trusted advisor who operates with integrity and sound judgment, • A resilient leader who thrives in a fast-paced, multi-unit retail environment Qualifications: • Bachelor’s degree in Human Resources, Business Administration, or related field (or equivalent experience), • 10+ years of progressive HR experience, including significant multi-unit retail experience, • Strong expertise in employment law, investigations, and compliance, • Experience partnering with senior leadership and legal teams, • Proven ability to influence and operate effectively in a fast-paced retail environment, • Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Outlook), • Excellent organizational and time management skills, • Strong interpersonal and written/verbal communication skills What We Offer: • Competitive salary, • Comprehensive benefits including medical, dental, vision, and 401(k), • PTO and company holidays, • Employee discounts The pay range for this position is: $150,000 – $175,000 per year. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III Apparel Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About G-III Apparel Group, Ltd. | ___ G-III owns and licenses over 30 global fashion brands. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., GIII Sports and more. G-III has fashion licenses under the Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville and more. G-III also operates retail stores for the DKNY, Karl Lagerfeld Paris and Donna Karan brands.

Job Title: Assistant Merchandiser – Digital Location: New York, NY Department: Digital / eCommerce Reports To: Director of eCommerce About G-III Apparel Group | ___ G-III excels at bringing excitement and confidence to customers through the fashion we create. We are global experts in design, sourcing, manufacturing, distribution and marketing, which enables us to fuel the growth of a substantial portfolio of brands. With more than 30 licensed and owned brands, including some of the most sought-after names in global fashion, our success is driven by our team’s entrepreneurial spirit and our deep relationships across the industry. Position Summary: We are seeking a highly motivated and detail-oriented Assistant Merchandiser – Digital to join our Digital team. This role will play a critical part in supporting eCommerce growth across key marketplace accounts such as Nordstrom, Macy’s, and TikTok Shop, and ensuring successful execution of online merchandising strategies. The ideal candidate is a proactive team player with strong analytical skills, excellent communication, and a passion for the apparel industry. Key Responsibilities: • Collaborate with sales teams to implement product assortment plans and execute online retail strategies, including product setup, updates, and pricing accuracy, • Create, launch, and maintain product listings while managing inventory levels and resolving stock issues, • Assist in planning and executing promotional campaigns, including coordinating discounts, product updates, and site merchandising assets (landing pages, banners), • Optimize product presentation and content to drive conversion and enhance the customer experience, • Monitor and analyze site performance metrics (traffic, conversion, sales) and identify opportunities for growth, • Partner cross-functionally to implement enhancements that improve user experience and drive revenue, • Translate data into insights and provide regular updates to stakeholders on business performance, • Adhere to project timelines, calendars, and key deadlines Who You Are: • A team player who collaborates easily and supports others, • A strategic thinker who sees the big picture and plans ahead, • A fast learner who adapts quickly and embraces new challenges, • A strong communicator who can clearly express ideas and listen actively, • A self-starter who takes initiative and drives work forward Qualifications: • Bachelor’s degree in Business, Merchandising, Marketing, or related field (or equivalent experience), • 1–3 years of relevant experience in eCommerce, merchandising, or retail, • Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Outlook), • Advanced Excel skills required (VLOOKUP, pivot tables, etc.), • Experience working with eCommerce platforms (Amazon experience a plus), • Strong analytical and problem-solving skills with attention to detail, • Excellent organizational, time management, and communication skills, • Ability to work in a fast-paced, deadline-driven environment, • Experience in fashion or apparel industry preferred What We Offer: • Competitive salary, • Comprehensive benefits including medical, dental, vision, and 401(k), • PTO and company holidays, • Employee discounts The pay range for this position is: $26.45 - $28.85/hour ($55,000 - $60,000 per year.) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III Apparel Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Owner Operator | Flatbed Location: Newark, NJ Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age

Owner Operator | Flatbed Location: Hoboken, NJ Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age

MANGO is a multinational fashion company that designs, manufactures and markets clothing and accessories. At Mango, we inspire and unite through our passion for style and culture. We are in 118 countries and our online presence extends to more than 80 countries. Our team is made up of people of 112 nationalities. In our team, we are proactive and dynamic, with communication skills and we are always open to new challenges. We are a young and multicultural team, we love the good vibes we have and we work together to achieve results. We are informed of trends and current events in the retail world. Job Details: For our MANGO store located at the Hudson Yards Mall in New York, New York we are currently recruiting for a Floor Supervisor to join our team. What would your day to day look like? Reporting to the Store Manager, you will be responsible for the general running of the floor. You will ensure that sales targets are achieved, and customer service is at its highest level. To support the work of the Visual Merchandiser and display the product in a commercial and aesthetic manner in accordance with company standards, in order to maximize sales. Key Responsibilities: · To ensure and provide an excellent level of customer service in the store · To ensure the team possesses good product knowledge and is aware of the key performance indicators · To be familiar with and offer services according to the needs of customers in order to maximize sales · To organize and distribute tasks and positions to each member of the team · To ensure that sales targets are implemented, achieved and exceeded in store · To maintain the image of the store in order to make it attractive and commercial · To know and apply the visual merchandising standards of the brand and of the season. · To participate in updating the Merchandising and Rotation schedules We are looking for a self-motivated team player who is a vibrant outgoing person and can demonstrate excellent communication skills, a proactive attitude and enthusiasm to represent the brand through the delivery of excellent customer service in order to achieve and exceed sales targets. Previous experience of working in fashion retail is desirable. Requirements: · Prior experience in retail sales is preferred · Must be a sales-driven, goal-oriented individual · Passion for customer service, styling, and product · Flexible availability, including weekends and holidays · Must have a positive, high-energy, friendly, outgoing, and engaging personality. · Must be willing to take the first step to initiate contact with the customers and identify their shopping needs. · Strong time management and communication skills · Ability to manage multiple and competing work priorities, demands, and changes What makes us special? • As a member of the Mango team, you’ll get a 40% discount on all our lines, so that you’ll always be wearing the latest!, • Insurance Benefit: You only pay a % of the value!, • Pet Insurance – Partnering with MetLife, covering up to 90% of veterinary expenses., • 401(K) Pension Plan, • Holidays + Wellness Days, • Vacation Days, • Commuter Benefits, • Bonus and/or Commission paid monthly, • At Mango, we invest in your personal and professional development. Access a wide range of training courses, personalized mentoring, continuous development programs and internal promotion opportunities that will drive you toward success., • Think big! Mango offers you international opportunities in over 120 markets for you to broaden your horizons and grow with us globally. The pay range for this position at commencement of employment is expected to be between $19.50 - $23.50/hourly; however, base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. The Company reserves the right to modify this pay range at any time. You got it? We like you!

Owner Operator | Flatbed Location: Teterboro, NJ Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age

Owner Operator | Flatbed Location: Brooklyn, WI Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age

Owner Operator | Flatbed Location: North Arlington, NJ Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age

Owner Operator | Dry Van Location: Union City, NJ Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age

Owner Operator | Dry Van Location: Jersey City, NJ Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age

Position Overview The Strategic Sourcing Manager will lead the development and execution of global sourcing strategies across categories. This role is responsible for optimizing vendor partnerships, driving cost efficiencies, and ensuring high-quality, on-time production in a fast-paced fashion environment. You will collaborate cross-functionally with design, merchandising, product development, sales, and supply chain teams to deliver trend-right product aligned with margin and calendar targets. This role will be supporting the needs of the VP of Sourcing & Product Development on day to day needs surrounding sourcing. Strategic Sourcing & Supply Chain • Develop and execute global sourcing strategies across multiple apparel categories, • Balance cost, quality, speed-to-market across regions, • Monitor geopolitical, trade, and market trends impacting sourcing decisions such as monitoring currency rates & yarn prices, • Drive vendor diversification based on business needs, • Maintain and update pricing libraries and historical cost references., • Support pricing analysis by preparing comparisons and summaries for new developments and seasonal updates. Vendor & Factory Management • Build long-term partnerships that can help with sourcing strategies, • Lead supplier negotiations for pricing, capacity, and contract terms, • Conduct regular business reviews and implement continuous improvement plans Costing & Margin Optimization • Lead cost engineering initiatives (fabric, trims, labor, logistics), • Negotiate pricing and analyze cost breakdowns to meet margin targets, • Identify cost-saving opportunities and improve total cost of ownership, • Partner with merchandising and sales on seasonal costing strategies, • Creatively work on seeing the line big picture to look for cost savings ex: using same fabrics across multiple brands etc. Product Development & Execution • Support sampling, prototyping, and production readiness, • Manage timelines to meet seasonal calendars and delivery deadlines Key Skills • Strategic thinking & problem-solving, • Supplier relationship management, • Negotiation & influencing, • Cross-functional collaboration, • Data analysis & cost modeling, • 3-4 years of experience in sourcing, costing, or production coordination within apparel or retail preferred., • Strong attention to detail with basic analytical and mathematical skills for cost calculations., • Proficiency in Excel or Google Sheets for data entry, tracking, and reporting., • Clear written and verbal communication skills for coordination with factories and internal teams. The salary range for this New York based role is $90,000 to $110,000. Base salaries are determined during the interview process by evaluating a candidate’s experience, skills, and alignment with internal peers, as well as the scope and responsibilities of the position.

Owner Operator | Dry Van Location: Lyndhurst, NJ Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age

At Theory, we create clothes that matter, that empower and improve the way we live through exceptional fit, fabric, and style. In 1997, Theory was founded in New York on the simple idea that stretch fabrics in tailored clothing could change how we dress and live. Two decades later, we continue to perfect our offering of elevated wardrobe essentials for the ambitious, urban man and woman. From sourcing materials from the best mills in the world, to the innovation and craftsmanship at our atelier in New York’s Meatpacking District, the integrity of our process is just as important as our final product. In 2004, Theory was acquired by Fast Retailing, spurring international expansion of the brand. Operating 440 stores worldwide, today Theory is a New York brand with a global mindset. Our customers dream big, achieve goals, and aim for perfection. So do we, and so do our clothes. Responsibilities: • Support the international account managers with preparation and running of market appointments, accurate order entry, and successful day-to-day account management, • Support shipping management to deliver products on time in-line with the budgets provided, • Partner with merchandising and production teams to ensure product assortment is relevant for international markets and communicate timely updates to accounts, • Utilize effective presentation ability and persuasive negotiation skills during in-person and remote market appointments, • Coordinate international team’s samples including shipments of samples to the eCommerce photo studio and to regional showrooms, • Stay informed of international fashion trends with an expert knowledge of competition as it relates to Theory’s positioning in the market Minimum Skills & Qualifications: • 2-5 years of experience in a retail role (sales/buying/planning, etc.) or applicable analytical role, • Bachelor’s degree strongly preferred, • Experience or interest in international markets, • Advanced excel skills, • Flexibility and team player mentality Salary range: $65,000.00 -70,000.00* *The offered salary or salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills and expertise, and location of the position. As an Equal Opportunity Employer, Fast Retailing does not discriminate against applicants or employees because of race, color, creed, religion, sex, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other status or condition protected by applicable federal, state or local law. Ensure your Theory job offer is legitimate and don’t fall victim to fraud. Theory never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for an interview and ensure your communication is coming from a Theory or sister company email address. For added security, where possible, apply directly through our job posting.

At Theory, we create clothes that matter, that empower and improve the way we live through exceptional fit, fabric, and style. In 1997, Theory was founded in New York on the simple idea that stretch fabrics in tailored clothing could change how we dress and live. Two decades later, we continue to perfect our offering of elevated wardrobe essentials for the ambitious, urban man and woman. From sourcing materials from the best mills in the world, to the innovation and craftsmanship at our atelier in New York’s Meatpacking District, the integrity of our process is just as important as our final product. In 2004, Theory was acquired by Fast Retailing, spurring international expansion of the brand. Operating 440 stores worldwide, today Theory is a New York brand with a global mindset. Our customers dream big, achieve goals, and aim for perfection. So do we, and so do our clothes. The Responsibilities A Key Holder works within the store management team to help achieve store sales goals and maximize profitability. Through effective management in partnership with Store Manager, the Key Holder works to create a store experience for our clients that results in sales growth. As a key holder, you will be responsible for continuously improving and developing management skills, taking ownership of the responsibilities assigned by the Store Manager, and acting as a role model to the sales team. Business Leader • Meet personal and store sales and KPI goals, • Demonstrate excellent knowledge of the product to support the brand goals, • Develop sales techniques that are relevant to the market, • Establish and maintain client-base, • Leverage company tools, incentives & strategies to support meeting sales goals, • Demonstrate strong business acumen by leverage KPI’s to support business-driving strategies People Leader • Ensure effective communication between store manager & other team members, • Identify ways to keep the team motivated and engaged, • Present new & innovative ideas to support meeting business goals, • Coach team on sales floor providing relevant and consistent feedback to improve performance Operations Leader: • Ensure all functions of the store are maintained to support a superior shopping-experiences, • Assist in all areas of stock, shipping, receiving protocols/policies, procedures and all related processes inclusive of paperwork, • Collaborate with store managers in areas of risk management, physical security, store cash control and inventory control., • Identify product concerns and communicate inventory needs to support the business goals, • Collaborate with cross-functional business partners to support inventory goals Customer Focus: • Ensure the highest level of customer service to each and all individuals in the store Build meaningful relationships with clients through strong-interpersonal skills, • Collaborate with all team members to support a superior shopping experience, • Be present on and off the floor as a Theory Brand Ambassador The Essentials • 3-4 years’ prior work experience in a client-centric, sales environment, • Dynamic interpersonal and communication skills, both verbal and written, • Independent work ethic, time management skills, • Computer skills to operate point of sale system, experiences with teamwork is a plus Salary: $20/hr- $23/hr * *The offered salary or salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills and expertise, and location of the position. As an Equal Opportunity Employer, Theory LLC does not discriminate against applicants or employees because of race, color, creed, religion, sex, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other status or condition protected by applicable federal, state, or local law. Ensure your Theory job offer is legitimate and don’t fall victim to fraud. Theory never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for an interview and ensure your communication is coming from a Theory or sister company email address. For added security, where possible, apply through our direct job posting.

At Theory, we create clothes that matter, that empower and improve the way we live through exceptional fit, fabric, and style. In 1997, Theory was founded in New York on the simple idea that stretch fabrics in tailored clothing could change how we dress and live. Two decades later, we continue to perfect our offering of elevated wardrobe essentials for the ambitious, urban man and woman. From sourcing materials from the best mills in the world, to the innovation and craftsmanship at our atelier in New York’s Meatpacking District, the integrity of our process is just as important as our final product. In 2004, Theory was acquired by Fast Retailing, spurring international expansion of the brand. Operating 440 stores worldwide, today Theory is a New York brand with a global mindset. Our customers dream big, achieve goals, and aim for perfection. So do we, and so do our clothes. The Responsibilities A Key Holder works within the store management team to help achieve store sales goals and maximize profitability. Through effective management in partnership with Store Manager, the Key Holder works to create a store experience for our clients that results in sales growth. As a key holder, you will be responsible for continuously improving and developing management skills, taking ownership of the responsibilities assigned by the Store Manager, and acting as a role model to the sales team. Business Leader • Meet personal and store sales and KPI goals, • Demonstrate excellent knowledge of the product to support the brand goals, • Develop sales techniques that are relevant to the market, • Establish and maintain client-base, • Leverage company tools, incentives & strategies to support meeting sales goals, • Demonstrate strong business acumen by leverage KPI’s to support business-driving strategies People Leader • Ensure effective communication between store manager & other team members, • Identify ways to keep the team motivated and engaged, • Present new & innovative ideas to support meeting business goals, • Coach team on sales floor providing relevant and consistent feedback to improve performance Operations Leader • Ensure all functions of the store are maintained to support a superior shopping-experiences, • Assist in all areas of stock, shipping, receiving protocols/policies, procedures and all related processes inclusive of paperwork, • Collaborate with store managers in areas of risk management, physical security, store cash control and inventory control., • Identify product concerns and communicate inventory needs to support the business goals, • Collaborate with cross-functional business partners to support inventory goals Customer Focus • Ensure the highest level of customer service to each and all individuals in the store, • Build meaningful relationships with clients through strong-interpersonal skills, • Collaborate with all team members to support a superior shopping experience, • Be present on and off the floor as a Theory Brand Ambassador The Essentials • 3-4 years’ prior work experience in a client-centric, sales environment, • Dynamic interpersonal and communication skills, both verbal and written, • Independent work ethic, time management skills, • Computer skills to operate point of sale system, experiences with teamwork is a plus Salary: $20/hr- $23/hr * *The offered salary or salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills and expertise, and location of the position. As an Equal Opportunity Employer, Theory LLC does not discriminate against applicants or employees because of race, color, creed, religion, sex, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other status or condition protected by applicable federal, state, or local law. Ensure your Theory job offer is legitimate and don’t fall victim to fraud. Theory never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for an interview and ensure your communication is coming from a Theory or sister company email address. For added security, where possible, apply through our direct job posting.

Owner Operator | Flatbed Location: Cliffside Park, NJ Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age

MANGO is a multinational fashion company that designs, manufactures and markets clothing and accessories. At MANGO, we inspire and unite through our passion for style and culture. We are in 118 countries and our online presence extends to more than 85 countries. Our team is made up of people of 112 nationalities. In our team, we are proactive and dynamic, with communication skills and we are always open to new challenges. We are a young and multicultural team, we love the good vibes we have and we work together to achieve results. We are informed of trends and current events in the retail world. Job Details: We are currently recruiting for a Store Manager to join our team at our MANGO location at Newport Centre in Jersey City, New Jersey. Reporting to the District Manager you will be responsible for the general running of your store. You will ensure that sales targets are exceeded, customer service is at its highest level and the store image is impeccable. You will be responsible for leading and motivating your team and maintaining an atmosphere that is always active and pleasant. Key Responsibilities: • To ensure an excellent level of customer service is provided in the store, • To plan, apply and monitor the required measures in order to reach and exceed sales targets, • To analyze and review management indicators and costs in order to improve them, • To ensure and collaborate in the implementation of merchandising standards and optimize selling space in order to obtain maximum profitability, • To be familiar with the collection, and control and manage the stock to maximize sales, • To act as a role model and promote effective communication within the team, • To recruit, train and ensure the seamless integration of the new employees, • To lead and motivate the team, ensuring the development of staff potential, • To plan, organize, prioritize and distribute tasks, optimizing resources and minimizing costs, • To ensure the optimal management of personnel administration duties We are looking for an individual with relevant experience in managing a dynamic store within the fashion retail industry. You should be self-motivated, inspire your team to work well as a team leading by example and deliver outstanding results. You should have a proven ability to maximize profitability. Sales-oriented, organized and tenacious, you are a problem solver, able to work well under pressure and adapt to changes. If you like sharing responsibility, developing both professionally and personally, and want to grow in a dynamic fashion retail company in full expansion, then this is your opportunity! Apply now and start a long and successful career within MANGO. Join our team! Help us to reach our goal: to be present in every city in the world. What makes us special? • As a member of the Mango team, you’ll get a 40% discount on all our lines, so that you’ll always be wearing the latest!, • Insurance Benefit: You only pay a % of the value!, • Pet Insurance – Partnering with MetLife, covering up to 90% of veterinary expenses., • 401(K) Pension Plan, • Holidays + Wellness Days, • Vacation Days, • Commuter Benefits, • Bonus and/or Commission paid monthly, • At Mango, we invest in your personal and professional development. Access a wide range of training courses, personalized mentoring, continuous development programs and internal promotion opportunities that will drive you toward success., • Think big! Mango offers you international opportunities in over 120 markets for you to broaden your horizons and grow with us globally. The pay for this position at commencement of employment is expected to start at $70,000 annually; however, base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. The Company reserves the right to modify this pay at any time. You got it? We like you!

Owner Operator | Flatbed Location: Union City, NJ Company: Western Express Pay: $1.25 to $2.00 per mile Route Type: otr, regional Start Date: ASAP About the Position CALL TO SPEAK WITH A SEATING SPECIALIST TODAY! (833) 615-1594 Have you ever dreamed of owning your truck and being your own boss ? Come experience the many reasons why Western Express is the best place to live those dreams! This Lease-to-Own program was built for you to succeed, become an owner operator , and own your future . Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down , no credit check and no balloon payment , this walk-away lease is simply the best ownership program in the industry. CALL or APPLY NOW! Limited Opportunities! Program Highlights: GO BIG – Earn up to $200,000/year with rates up to $2.00/mile ! GO FAR – Choose your loads from our extensive, nationwide freight network ! GO HOME – No Forced Dispatch; Choose your Home Time! Great Trucks: Wide selection of new and used trucks Low Payments: As low as $525/week ! No money down , no interest, no balloon payment, no credit check ! Ownership in 3-5 years (depending on year/make/model) Walk-away lease – Return your truck hassle-free if ownership isn’t for you. Business tools and guidance to help you manage and grow your business Access to some of the most affordable insurance in the industry Big discounts on fuel and tires BestPass® to cover all toll expenses 24/7 Operations and Maintenance Support LP Pro mobile app: Easily choose loads , communicate with Ops, view documents and more! INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer at Western Express! Call today for more details on how you can add up to 50% to your revenue ! Have you been out of driving for 3 years or more? Are you a recent CDL-A grad? Call us for information about our Training Programs today ! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. *Subject to change without notice. Some restrictions may apply. Call for details. Requirements Valid CDL-A (Class A CDL) 21+ Years of Age