Work authorization jobs in Newark, New JerseyCreate job alerts

Student success coach and mentor (entry level, paid, full-time) City Year AmeriCorps Member About City Year City Year, an AmeriCorps program, helps students across schools succeed. Teams of City Year AmeriCorps members provide support to students, classrooms and the whole school, helping to ensure that students in schools receive a high-quality education that prepares them with the skills and mindset to thrive and contribute to their community. What You’ll Do As a City Year AmeriCorps member, your service will focus on coaching and mentoring elementary, middle and/or high school students. You will help these students earn academic success, improve their attendance, and develop positive behaviors at school. You will plan and monitor individual student progress and work with teachers on whole class instruction, breakout spaces and other in-class student assistance. Role and Responsibilities Experience in all these tasks is not necessary. We provide 2-4 weeks of training at the beginning of the year to support you. Plus, you will work with partner teachers and school staff every step of the way. Support academic coaching and interpersonal development for students: · Work with identified students 1:1 and in small groups · Develop literacy and/or math skills varying learning activities by student level, answering student questions and encouraging assignment completion · Create and implement a behavior management system for students · Develop interpersonal skills throughout their day, using proven strategies of learning, practicing, reflection and repetition · Collaborate with teachers and team members to collect, record, analyze and monitor individual student progress, participating in facilitated reviews of student data collected and entered into City Year’s student data system· Create an engaging, safe and healthy classroom space in collaboration with the teacher Support Whole School initiatives to increase engagement with students and families: · Support and/or conduct extended day and virtual programming for students before, during and after school including, but not limited to, academic enrichment and intervention, homework support, recreation and student clubs, service learning, and leadership development · Create, support and/or co-lead events or programs that recognize and appreciate student growth and/or achievement in math, literacy, attendance, and behavior City Year benefits You will receive: · Health, Dental, and Vision Insurance · Curalinc Employee Assistance Program · Talkspace Therapy Program · Free 3-year membership to Happier · Benefit Advocate Center · Bi-weekly living stipend · Workers’ compensation · Relocation support · Benefits specific to City Year location · Career and University partnerships and scholarships · City Year / AmeriCorps Uniform parts AmeriCorps and other federally-issued benefits You will be eligible for: · Segal AmeriCorps Education Award* · Child care benefits paid by AmeriCorps · Loan forbearance and interest accrual payments for qualified student loans · Time accrual toward the U.S. Department of Education’s Public Service Loan Forgiveness Program, (see Reduction of Education Costs) · Income-based Loan Repayment Plan (IBR)Eligibility Requirements City Year AmeriCorps members are as varied as the communities we serve. We’re looking for you if you want to build yourself, give back and are ready to change the world. · Be a U.S. citizen or legal permanent resident (Authorization to work in the U.S. is not sufficient. Those with DACA status unfortunately are not eligible at this time) · Be 17-25 by July 1, 2025 · Have a GED or high school diploma, some college experience, or college degree · Have served no more than three terms in an AmeriCorps state or national program* · Agree to and complete a background check · Be able to begin City Year by July/August 2025 (specific start date varies by location) How to Apply Visit ___ and submit your completed application online. For more information on how to apply, visit: ___. For more information about this role visit our ___

Student success coach and mentor (entry level, paid, full-time) City Year AmeriCorps Member About City Year City Year, an AmeriCorps program, helps students across schools succeed. Teams of City Year AmeriCorps members provide support to students, classrooms and the whole school, helping to ensure that students in schools receive a high-quality education that prepares them with the skills and mindset to thrive and contribute to their community. What You’ll Do As a City Year AmeriCorps member, your service will focus on coaching and mentoring elementary, middle and/or high school students. You will help these students earn academic success, improve their attendance, and develop positive behaviors at school. You will plan and monitor individual student progress and work with teachers on whole class instruction, breakout spaces and other in-class student assistance. Role and Responsibilities Experience in all these tasks is not necessary. We provide 2-4 weeks of training at the beginning of the year to support you. Plus, you will work with partner teachers and school staff every step of the way. Support academic coaching and interpersonal development for students: · Work with identified students 1:1 and in small groups · Develop literacy and/or math skills varying learning activities by student level, answering student questions and encouraging assignment completion · Create and implement a behavior management system for students · Develop interpersonal skills throughout their day, using proven strategies of learning, practicing, reflection and repetition · Collaborate with teachers and team members to collect, record, analyze and monitor individual student progress, participating in facilitated reviews of student data collected and entered into City Year’s student data system· Create an engaging, safe and healthy classroom space in collaboration with the teacher Support Whole School initiatives to increase engagement with students and families: · Support and/or conduct extended day and virtual programming for students before, during and after school including, but not limited to, academic enrichment and intervention, homework support, recreation and student clubs, service learning, and leadership development · Create, support and/or co-lead events or programs that recognize and appreciate student growth and/or achievement in math, literacy, attendance, and behavior City Year benefits You will receive: · Health, Dental, and Vision Insurance · Curalinc Employee Assistance Program · Talkspace Therapy Program · Free 3-year membership to Happier · Benefit Advocate Center · Bi-weekly living stipend · Workers’ compensation · Relocation support · Benefits specific to City Year location · Career and University partnerships and scholarships · City Year / AmeriCorps Uniform parts AmeriCorps and other federally-issued benefits You will be eligible for: · Segal AmeriCorps Education Award* · Child care benefits paid by AmeriCorps · Loan forbearance and interest accrual payments for qualified student loans · Time accrual toward the U.S. Department of Education’s Public Service Loan Forgiveness Program, (see Reduction of Education Costs) · Income-based Loan Repayment Plan (IBR)Eligibility Requirements City Year AmeriCorps members are as varied as the communities we serve. We’re looking for you if you want to build yourself, give back and are ready to change the world. · Be a U.S. citizen or legal permanent resident (Authorization to work in the U.S. is not sufficient. Those with DACA status unfortunately are not eligible at this time) · Be 17-25 by July 1, 2025 · Have a GED or high school diploma, some college experience, or college degree · Have served no more than three terms in an AmeriCorps state or national program* · Agree to and complete a background check · Be able to begin City Year by July/August 2025 (specific start date varies by location) How to Apply Visit ___ and submit your completed application online. For more information on how to apply, visit: ___. For more information about this role visit our ___

About the job Create your own destiny in the United States! On a Student Visa (F1) or OPT? Join our Green Card sponsorship program and receive a permanent Employment Authorization Document (EAD) and a Green Gard (EB-3 visa) and we will place you to work in a U.S. hospital. Please note the specific location of the job in this ad may differ from the location of available jobs. Qualifications: Candidates must have a minimum BSN in nursing or be in the process of completing a BSN. Must have either passed the NCLEX-RN exam or about to take the test. ADEX Medical Staffing is not a third-party representative or agent. We are your direct Green Card sponsor and employer. We pay all salaries and benefits. We place you at one hospital location that best matches your career goals for the duration of your contract with us. Benefits of working with ADEX When you join ADEX Medical Staffing, you’re joining a team dedicated to your continuous support while working and living in the United States. Here’s what we’re doing right now for our international nurses seeking placement in the US: • NO COST TO YOU! All legal, U.S government processing fees, endorsement fees paid for by ADEX., • Starting bonuses, • Travel stipend during relocation, • Subsidized Health Insurance Plan., • Worker’s Compensation Insurance, Liability and Malpractice Insurance, • Seamless onboarding and extensive hospital orientation program

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).

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).

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).

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).

Class A CDL Driver Opportunities Available! We re now hiring professional Class A CDL Drivers for the following positions: OTR • Lease/Purchase Driver Qualifications To be considered, applicants must meet the following requirements: • Must be 21 years of age or older, • Hold a valid Class A CDL with an active DOT Medical Card, • Must be a U.S. Resident or have legal authorization to work in the U.S., • Minimum experience pulling 40+ foot trailers, • Ability to provide up to 10 years of employment history, • Must successfully pass:, • DOT physical, • Pre-employment drug screen, • Motor Vehicle Record (MVR) check Applicants must meet one of the following experience criteria:

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 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).

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).

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).

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Company: Oak Street Health Title: RN, Case Manager Location: University Ave 1953 University Ave, Bronx, NY 10453 Washington Heights 4405 Broadway, New York, NY 10040 *Subject to adjustment based on clinic needs *Eligible candidates may receive a sign‑on bonus as part of the offer package. Role Description: In partnership with the primary care provider, (PCP), the RN, Case Manager is the lead for care management activities, drives care coordination and collaborates with interdisciplinary teams to ensure care continuity for complex patients. This role focuses on preventing avoidable admissions, driving efficient resource utilization, and ensuring effective team-based care. It is a field-based, in-person/on-site role, requiring strong relationships between patients, providers and care team members. Core Responsibilities: * Manages an assigned caseload of complex patients in a value-based care environment, with a focus on driving reduced admissions, readmissions, and medical utilization. * Accountable for panel metric performance in admission prevention, readmission prevention, and transitions of care metrics. * Owns overall care coordination for assigned patients, functioning as the primary point of contact and ensuring alignment, accountability, and follow-through across the care team. * Manage transitions of care episodes for patients on their panel, including timely completion of structured clinical assessments to identify post-discharge needs, medication reconciliation on behalf of the PCP, and addressal of identified needs directly or via collaboration with other team members. * Collaborates patient’s PCP, family/caregiver, Social Worker, Behavioral Health Specialists, and other care team members, as needed to evaluate the individual's needs, goals, and plan of action and ensure care plan progression. * Ensure timely documentation of key clinical assessments after admissions, while balancing in-center care team planning meetings. * Lead in-person interdisciplinary care planning meetings to ensure effective care coordination and management between providers visits. * Perform timely nursing assessments and provide patient education for chronic condition management and transitions of care. * Educate patients and families, empowering them in their care, and advocating for their needs. * Document visits in electronic health record according to internal standards * Other duties as assigned. What are we looking for? * Fluency in Spanish or other languages spoken by people in the communities we serve, required * Current RN license in assigned state is required; Bachelor degree in nursing preferred. * Minimum of 6-8 years nursing experience. * Certified Case Manager (CCM) required, or willingness to obtain within 12 months of hire, unless candidate has 2-3 years of relevant care/case management experience * 2+ years experience in transitional nursing, emergency room nursing, care coordination, discharge planning, or home health is strongly preferred. * Demonstrated skill in motivational interviewing, patient activation, time management, and navigating community and social resources. * A flexible and positive attitude * Comfort with ambiguity and change * High emotional intelligence as evidenced by ability to evaluate/perceive a situation from multiple lenses and understand various perspectives in coming to problem resolution. * Access to reliable transportation and ability to travel throughout the communities OSH serves * US work authorization * Someone who embodies being Oaky What does being Oaky look like? * Radiating positive energy * Assuming good intentions * Creating an unmatched patient experience * Driving clinical excellence * Taking ownership and delivering results * Being relentlessly determined Why Oak Street Health? Oak Street Health is on a mission to rebuild healthcare as it should be, providing personalized primary care for older adults on Medicare, with the goal of keeping patients healthy and living life to the fullest. Our innovative care model is centered right in our patient communities, and focused on the quality of care over volume of services. We are an organization on the move! With over 200+ locations and an ambitious growth trajectory, Oak Street Health is attracting and cultivating team members who embody Oaky values and passion for our mission. Oak Street Health Benefits: * Mission-focused career impacting change and measurably improving health outcomes for Medicare patients * Paid vacation, sick time, and investment/retirement 401K match options * Health insurance, vision, and dental benefits * Opportunities for leadership development and continuing education stipends * New centers and flexible work environments * Opportunities for high levels of responsibility and rapid advancement Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply. Learn more at ___ Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $72,627.00 - $155,538.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: * Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. * No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. * Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ___ We anticipate the application window for this opening will close on: 06/30/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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).

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).

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).

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx and Upper Manhattan, and are opening three new elementary schools in Queens for the 2025-26 school year. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. Our Network office is located at 401 W. 218th St., New York, NY 10034. Our Network team follows a hybrid work schedule: we work in-person from our office on Tuesdays and Thursdays with optional remote days on Mondays, Wednesdays, and Fridays, if your team's scope of work permits. Deliver powerful results To achieve our vision, we are searching for a a Manager of Early Elementary Literacy with a Master's Degree and at least 3 years of experience with a proven record of leading exceptional academic outcomes in early elementary reading, and demonstrated leadership at the school or network level. Responsibilities: • Literacy Vision and Strategy: Design a rigorous and engaging early elementary literacy experience for our students based on inquiry, strong understanding of complex texts, development of foundational literacy skills, and learning how to collaborate and communicate powerful ideas, • Achieve Annual Academic Goals: Lead early elementary literacy with a high bar of excellence to meet rigorous annual goals assessments including comprehension and foundational reading, • Collaboration and Problem Solving: Develop authentic and meaningful relationships across Zeta to collaborate effectively to support growth in service of student learning. View every challenge as an opportunity for root cause analysis and change, • Science of Reading Knowledge and Experience: Demonstrated track record of expertise in the Science of Reading and supporting all students to become excellent readers and writers, • Curriculum and Assessment Management: Create and curate literacy curriculum across curriculum and assessment materials aligned with the New York State Learning Standards and our Zeta Learning Competencies, including unit plans, lesson plans, and assessments. Ensure a coherent sequence of learning through unit and lesson plans grounded in critical thinking, • Professional Learning: Design and lead early elementary literacy professional learning trainings for school principals, assistant principals, and teachers to lead to excellent academic results, • Instructional Management: Develop clear instructional management plans to ensure all early elementary literacy instruction is consistently implemented at a high level. Observe instruction across Zeta schools and develop leaders and teachers in service of ensuring programming is implemented at a high level to lead to exceptional academic outcomes, • Data Analysis: Study data to identify gaps and take action to ensure leaders and teachers are using data to increase learning outcomes, • Feedback Driven: Embrace a growth mindset. Actively seek, provide, and incorporate feedback, while fostering a culture of continuous improvement and collaboration, • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team

Job DescriptionCompany Description Columbia University's Pre-College Programs offer high-achieving high school students the opportunity to engage in exploratory coursework at the college level, studying alongside peers from around the world. This highly selective program is open to students entering grades 9 and through the summer following their senior year. Job Description Columbia University’s Pre-College Programs for high school students is seeking qualified candidates to develop and teach on-campus courses during Summer ’26. Reporting to the Senior Director of Instruction and Curriculum for Pre-College Programs, Pre-College instructors develop and deliver immersive non-credit courses for high-achieving high school students. They guide and supervise students when classes are in session, and write a holistic evaluation of each course participant after classes conclude. For more information on the program–including course sessions and times–please see here. Course Description This course traces knowledge of the universe from astronomy’s ancient roots to the modern study of extrasolar planetary systems, cosmology, and black holes. Topics include Newton’s laws of motion and universal gravitation, Kepler’s laws, orbital dynamics, and space travel. Additionally, students will contemplate the nature of light, the nature of matter, and nuclear physics. This knowledge to will be used to explore the properties of our sun, solar system, further galaxies, the creation of chemical elements, and the expansion of the universe. By the end of the course, students will be prepared to explore dark energy and the fate of the universe as we know it. Prerequisite: One year each of high school chemistry and physics are strongly recommended but not required. Because this class takes a quantitative approach, participants should be comfortable using their math skills to solve problems. Calculus is useful but not necessary. Course Schedule Session B: July 21 - August 7 -- 9:10 - 11:00am & 1:10 - 3:00pm Please note: Course(s) and course availability are subject to change. All times shown are Eastern Time (ET). Dates and class times are tentative and subject to change. Responsibilities: * Develop course content, syllabus, lesson plans, and assigned work, in accordance with Pre-College templates and regulations * Lead and attend all class sessions, including escorting students to and from campus for field trips * Establish and maintain a dynamic in-class environment tailored for our high school population * Evaluate student work and write a holistic evaluation of each participant after the course ends * Monitor and address student concerns and inquiries (typical class size is 20-24 students) * Attend and complete all required online trainings Qualifications • Graduate degree or equivalent professional or academic background, • Expertise in the pertinent subject matter, • Aptitude for teaching Additional Information Hiring Salary Range Session B (Campus, 3 Week): $7,000 - $9,000 • Please note your availability to teach the Session A schedule (as well as any information regarding your suitability for the role) in the Message to Hiring Manager field. Please submit a resume inclusive of teaching experience as well as formal teaching evaluations (if available) * Applicants must have U.S. work authorization and will need to be in the U.S. while teaching * Columbia Affiliates: There may be restrictions when hiring individuals who hold a concurrent appointment at Columbia University during the Summer term. Generally, PhD students and Officers of Research are not eligible. Please check with us during the hiring process regarding your eligibility. Please note, Pre-College courses do not count towards the maximum course loads for adjuncts. * Once hired, applicants are required to submit to a third party background check and complete Protection of Minors training in addition to other training(s) mandated by the University and Pre-College Program All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job Description HOME HEALTH AIDES WANTED! SUMMIT HOME HEALTH CARE IS NOW HIRING! Thank you for showing interest in applying with Summit Home Health Care. We are currently looking for caregivers that are reliable and responsible with their work. As a team, we pursue bringing high quality services for our patients in need. Summit is inviting you to apply if you think you have passion for helping others. If you have all of these qualities and more, what are you waiting for? HIRING NOW! CALL US TODAY! 718-376-3100 Summit Benefits: * Daily access to your pay * Steady Case Availability * Flexible Schedules * Referral Bonuses * Union Membership, Paid Sick Time/Paid Time Off * Health Insurance * Paid In-Service * Pension Fund * Employee Discount Program * Referral Program * Transit Card HHA Responsibilities: * Daily personal care (bathing, grooming, oral care, dressing, etc.) * Assist with the daily living activities per the Plan of Care * Monitor patients and report on their condition * Help with patient meals and feeding, as well as basic housekeeping functions * Accompany the patient to doctor's visits, shopping, and other essential errands HHA/PCA Requirements: * Must have New York State Home Health Aide Certificate * Government Issued ID, Social Security Card & Work Authorization, if needed * 2 Reference Letters * Recent Physical * TB Screening (Quantiferon preferred) * Flu shot * Rubella & Rubeola titer lab work * Chain of Custody Drug Screen no older than 6 months Job Types: Full-time, Part-time, Per Diem Summit Home Care is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

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).

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Title: Medical Social Worker (LSW required) Company: Oak Street Health Bilingual Spanish Preferred $2500. Sign-On Bonus Role Description: The Medical Social Worker is a key member of Oak Street Health Centers, contributing a unique and valuable perspective to care teams to support the psychosocial needs of our patients. In collaboration with the interdisciplinary care team, they will provide assessments, advocacy, and comprehensive care coordination services to our highest-risk patients and their caregivers to help them improve their health status and avoid hospitalizations. Core Responsibilities: • Bilingual Spanish Required, • Proactively support our highest-need patients by providing comprehensive assessments, telephonic check-ins, and in-person visits., • Partner with the patient and their support persons (if necessary) to identify goals, increase engagement in their healthcare, address barriers, and drive the execution of their care plan., • Maintain extensive knowledge of community resources and make referrals, as appropriate, to help ensure the patient's healthcare and psychosocial needs are met., • Navigate patient insurance benefits in collaboration with the Patient Relations Manager (PRM) to ensure mindful utilization and maximization of plan benefits, • Provide both longitudinal and episodic comprehensive care coordination with the ultimate goal of empowering patients to independently manage their health conditions and have increased quality of life., • Educate patients on supportive care options (including advance care planning and end-of-life care) and provide goals of care counseling, support, and advocacy at all stages of the patient journey., • Provide psychoeducation to patients and families surrounding life stage and disease-specific issues, including dementia, adjustment to illness, aging, caregiver support, etc., • Meet with care teams to collaborate and generate creative solutions to patient issues, and spearhead intervention in situations with complex psychosocial dynamics., • Complete concise and comprehensive documentation on time to ensure that all care team members have visibility into the status of MSW interventions, • Partner with Community Health Workers and provide clinical guidance and consultation regarding complex patient needs to these team members., • Respond to crises and urgent needs with the keen ability to prioritize work, triage situations, and multitask., • Other duties as assigned. This role reports to the Practice Manager. What we're looking for: Required Qualifications: • Master of Social Work degree required from a school of social work accredited by the Council on Social Work Education (CSWE), • Minimally licensed in the state where OSH Center is located, • Fluency in Spanish, Polish, Russian, or other languages spoken by people in the communities we serve (where necessary), • Proficient computer skills (including Microsoft, GSuite, and electronic medical records), • US work authorization Strongly Preferred Qualifications: • Prior experience with complex care coordination and/or population healthcare management, • Familiarity with using metrics and data to guide practice and drive outcomes, • Minimum one year of medical social work experience in a healthcare environment, preferably within the last two years Preferred Qualifications: • Experience working on a multidisciplinary team of other healthcare providers Other Skills • Motivated, experienced social workers with a problem-solving orientation and a flexible and positive attitude who are driven to improve the lives of the individuals that OSH serves., • Passion for working with Medicare-eligible populations, including older adults, adults with disabilities, and adults with severe and persistent mental illness Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $55,916.00 - $121,474.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: * Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. * No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. * Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ___ We anticipate the application window for this opening will close on: 05/08/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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).

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).

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).

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Stationary) specializes in completing repairs and utilizes preventive maintenance on motors and controls, Programmable Logic Controllers (PLC), pneumatic systems, conveyor systems, and machine shop equipment. The ideal candidate is proficient in the use of diagrams, sketches, operations manuals, manufacturer's instructions, and engineering specifications to resolve malfunctions and maintain equipment. Summary of responsibilities: Locates sources of problems by observing mechanical devices in operation and repair with precision measuring and testing instruments. Determines changes in dimensional requirements of parts by inspecting used parts and using rulers, calipers, micrometers, and other measuring instruments. Ensures the proper functioning of mechanical, electro-mechanical, and electronic equipment by troubleshooting, repairing, maintaining, and calibrating industrial equipment and test equipment throughout Stationary GSE in accordance with approved manuals and procedures. Maintains equipment, parts, and supplies inventories by checking stock to log inventory levels; anticipating need; placing and expediting orders; and verifying receipt. Prepares maintenance reports by collecting, analyzing, and summarizing information and trends. External Applicants Only – Ground Maintenance Technician (Stationary) hired to work at the JFK airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The minimum starting hourly rate for this position is $36.22 with the ability to increase your hourly rate within 6 months of your start date, based upon premiums offered. Examples include but are not limited to CIMM Certification, Shift differential, and Skill differential. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Qualified candidates must also possess at least one of the following: Electrical/Relay knowledge: Understanding and proficiency in repairing 12 to 50 VAC/DC control circuits, 120 VAC single-phase electrical circuits and control circuits, 480 VAC 3-phase electrical systems. PLC Controls/Network: Proficiency and knowledge of repairing PLC and the associated computer network systems. Allen Bradly PLCS, SLC 500, SLC 5000 and Micro Logix systems. Industrial Maintenance/Conveyor Systems/Passenger Loading Bridges (PLB): Knowledge of system operations for PLB, system operation for conveyor systems and heavy equipment maintenance on hydraulics/electrical/mechanical on large industrial machinery. Industrial A/C refrigeration: Knowledge of high-pressure point-of-use pre-condition air systems, low-pressure glycol chiller systems, and repair and isolate system failures, as well as the related software for both high- and low-pressure control circuits systems. 400 Hz Generator/Inverter Ground Power: Strong understanding of electronic and electrical components and proficiency at identifying problems and repairing and rebuilding them. A background in 400 Hz, testing equipment as needed to perform repair/overhaul, and the ability to read electrical schematics and drawings are required. Familiarity with Jetpower II, Jetpower Plus, and CSI units. Experience operating passive and resistive load banks and working in an electronics environment. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Completion of a two-year degree at a post-secondary technical school or have a minimum of three years of demonstrated ability. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. What will give you a competitive edge (preferred qualifications) Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

This is a full-time on-site role for an Assistant Technical Designer at Amerex Group LLC in New York, NY. The Assistant Technical Designer will be responsible for tasks such as technical design, garment construction, fitting, and pattern making. Responsibilities and Duties: • Measuring., • Conduct fittings with designers., • Send specs for development to sample room or factory., • Closely work with sample room and factory during development., • Review design sketches to make sure they are correct., • Send fit/pp/top comments to overseas., • Closely work with overseas merch team and factories., • Keep track of samples for on time delivery., • Resolve quality control issues., • Works closely with qc to make sure bulk comes out correct. Qualifications • Technical Design, Garment Construction, and Pattern Making skills, • Experience with using V-Stitcher a must, • Experience in fitting garments and understanding of architecture in design, • Strong attention to detail and problem-solving abilities, • Excellent communication and collaboration skills, • Bachelor's degree in Fashion Design, Design Merchandising, or related field Monday–Friday in-office. $21.63 - $24.04 per hour - Based on Experience • Amerex Group does not provide visa sponsorship for this role. Candidates must have current work authorization in the United States (e.g., U.S. citizen, permanent resident, or other work authorization that does not require sponsorship)

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. The GMM (Stationary) is responsible for the maintenance of stabilized stationary machinery and equipment. Your key maintenance functions include inspections, minor troubleshooting, repairing, removing, and replacing components, cleaning, and assembly. This opportunity requires a minimum of 6 months of experience in an industrial powered mechanical environment and an understanding of mechanical, electrical, hydraulic, and pneumatic disciplines as they apply to industrial powered systems. If you have experience as a semi-skilled industrial maintenance mechanic, then this role is right for you. You will perform all routine and non-routine maintenance on the following while reporting any issues to GSE Supervision: Passenger loading bridges (interior, exterior, console, and dock lights) and interior and exterior painting (including bulb and lens replacement). Air handler hoses, adapters, air filters, condensate pans, and indicator bulbs and lenses. Gear boxes, bearings and shafts, roller replacements, belt re-lacing, and belts replacements. Staff’s baggage handling system (BHS) control rooms as well as reconciling bag jams to keep BHS flowing. Ground power cables and associated clamping/saddles. Stationary equipment like water cabinets, loading bridges, air handling systems, baggage conveyor systems, and 400 Hz gate power. Small component repair and build-up of non-specialized components on specialized equipment like air conditioning adapters, water cabinet adapters, baggage carrousel bumpers, and dock light controllers. External Applicants Only – Ground Maintenance Mechanic (Stationary) hired to work at the JFK airport receive a $ 2 , 5 00 sign-on bonus . You will receive $1, 250 after 90 days of employment and the remaining $1, 250 after 180 days of employment . Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Completion of a two-year degree at a post-secondary technical school and/or related Military experience. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. The GMM (Stationary) is responsible for the maintenance of stabilized stationary machinery and equipment. Your key maintenance functions include inspections, minor troubleshooting, repairing, removing, and replacing components, cleaning, and assembly. This opportunity requires a minimum of 6 months of experience in an industrial powered mechanical environment and an understanding of mechanical, electrical, hydraulic, and pneumatic disciplines as they apply to industrial powered systems. If you have experience as a semi-skilled industrial maintenance mechanic, then this role is right for you. You will perform all routine and non-routine maintenance on the following while reporting any issues to GSE Supervision: Passenger loading bridges (interior, exterior, console, and dock lights) and interior and exterior painting (including bulb and lens replacement). Air handler hoses, adapters, air filters, condensate pans, and indicator bulbs and lenses. Gear boxes, bearings and shafts, roller replacements, belt re-lacing, and belts replacements. Staff’s baggage handling system (BHS) control rooms as well as reconciling bag jams to keep BHS flowing. Ground power cables and associated clamping/saddles. Stationary equipment like water cabinets, loading bridges, air handling systems, baggage conveyor systems, and 400 Hz gate power. Small component repair and build-up of non-specialized components on specialized equipment like air conditioning adapters, water cabinet adapters, baggage carrousel bumpers, and dock light controllers. External Applicants Only – Ground Maintenance Mechanic (Stationary) hired to work at the LGA airport receive a $2,500 sign-on bonus. You will receive $1,250 after 90 days of employment and the remaining $1,250 after 180 days of employment. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Completion of a two-year degree at a post-secondary technical school and/or related Military experience. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

TraxNYC is looking for a highly organized and detail-oriented Jewelry Repair Coordinator to join our team in the heart of Manhattan’s Diamond District. This is an excellent opportunity to work hands-on in the luxury jewelry industry, overseeing the repair and restoration of high-end gold and diamond pieces for clients worldwide — including celebrities, athletes, and collectors. This is a hands-on, in-person role ideal for someone who thrives in a fast-paced, precision-driven environment. You’ll play a central role in managing the full lifecycle of jewelry repairs — from intake and evaluation to coordination with bench jewelers and final quality control. Strong organizational skills are essential — you’ll be trusted with high-value merchandise, strict timelines, and direct communication with customers regarding their most meaningful pieces. You don’t need to be a master bench jeweler — but you do need a strong understanding of jewelry components, attention to detail, and the ability to manage multiple repair jobs at once while maintaining accuracy. As a Jewelry Repair Coordinator, you’ll help ensure every repair meets TraxNYC’s quality standards — from simple resizing and polishing to complex stone replacements and restoration work. Key Responsibilities: • Oversee intake and documentation of all jewelry repair items, • Evaluate condition of pieces and clearly outline scope of repair work, • Create and manage repair tickets with detailed notes and timelines, • Communicate repair estimates and turnaround times with customers, • Coordinate daily with setters, polishers, bench jewelers, and outside vendors, • Track and prioritize repair jobs to meet promised deadlines, • Inspect completed repairs for quality control before customer pickup or shipment, • Source replacement stones (diamonds and gemstones) when required, • Ensure proper handling, storage, and security of high-value repair items, • Manage resizing, prong rebuilding, stone tightening, clasp repair, polishing, rhodium plating, and restoration projects, • Handle warranty repairs and post-sale service requests, • Maintain organized digital records of all repair orders and updates, • Resolve customer concerns related to repairs with professionalism and urgency, • Track patterns to support workflow improvements within the repair department, • Track costs and profits of return processes to ensure repairs are profitable What We’re Looking For: • Experience in jewelry repair coordination, jewelry sales, or a bench jewelry environment preferred, • Strong understanding of common jewelry repair processes (sizing, prong tightening, stone setting, polishing, plating), • Highly organized, detail-oriented, and reliable, • Comfortable handling high-value diamond and gold merchandise, • Strong communication skills and ability to manage multiple projects at once, • Punctual and dependable with a professional attitude, • Knowledge of the Diamond District is a plus, • Experience using Monday.com is preferred, but not required, • Legal authorization to work in the U.S. and valid photo ID required Compensation & Schedule: Pay: $20.00 – $26.00 per hour (based on experience) Subject to increase over time based on performance Schedule: Full-time, Monday – Friday Standard shift: 10:00 AM – 6:00 PM (8 hours) Occasional weekend availability may be required Location: In-person, New York, NY 10036 (Diamond District) Perks & Benefits: • Paid time off, • Employee discount, • Opportunity to work directly with high-end diamond and custom jewelry, • Hands-on experience in repair and restoration of luxury pieces, • Work with a fast-growing, respected brand in the Diamond District, • Clear room for advancement into production management or operations roles If you’re looking for a serious opportunity in the luxury jewelry world — and you’re ready to take ownership of a critical department that protects the integrity and quality of every piece we sell — we want to hear from you. At TraxNYC, every detail matters. Check out our social media below Instagram: TikTok: YouTube: Facebook: Twitter/X: Job Type: Full-time Pay: $20.00 - $26.00 per hour Expected hours: 40 – 50 per week Benefits: Employee discount Paid time off Ability to Commute: New York, NY 10036 (Required) Work Location: In person

Job Title: Data Architect – BI Technology Location: Secaucus, NJ Department: IT, BI Technology Reports To: Manager, BI Technology W2 Contract Rate $55/hr on W2 Position Summary We are seeking a highly skilled Data Architect to lead the design, development, and optimization of our retail data ecosystem. This role will be instrumental in shaping our data strategy, enabling advanced analytics, and supporting business intelligence across finance, merchandising, supply chain, marketing, and customer experience domains. The ideal candidate will have deep expertise in cloud data platforms (Snowflake), data transformation tools (DBT), and business intelligence platforms like MicroStrategy, Power BI with a strong understanding of medallion architecture principles to support scalable and trusted data delivery. Key Responsibilities Architect and implement scalable, secure, and high-performance data solutions using Snowflake and DBT. Design and maintain a medallion architecture (Bronze, Silver, Gold layers) to support structured data ingestion, transformation, and consumption across the organization. Develop modular and reusable DBT models aligned with medallion layer principles to ensure data quality, lineage, and business logic consistency. Collaborate with business stakeholders to understand data requirements and translate them into technical solutions. Establish data governance practices including data quality, lineage, and metadata management. Optimize data pipelines for performance and cost-efficiency in a cloud-native environment. Direct experience with dimensional modeling (Star/Snowflake). Lead data integration efforts across internal systems (ERP, POS, CRM) and external sources (vendors, third-party APIs). Support and enhance reporting and analytics capabilities ensuring alignment with data architecture and semantic layer design. Ensure metric consistency across BI tools (MicroStrategy, Power BI). Mentor data engineers and analysts on best practices in data modeling, transformation, and documentation. Architect data solutions supporting core retail use cases including inventory optimization, sales performance, promotions, pricing, and omnichannel customer analytics. Stay current with emerging technologies and trends in data architecture and retail analytics. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. 5+ years of experience in data architecture or data engineering roles. Proven experience with Snowflake, DBT, and SQL. Strong understanding of ETL/ELT processes, data warehousing, and cloud data platforms. Experience designing and implementing medallion architecture in a modern data stack. Strong background in documenting historical processes and designing future workflow documentation. Hands-on experience with MicroStrategy, including schema design, dashboard development, and performance tuning. Familiarity with CI/CD pipelines, version control (Git), and agile development practices. Excellent communication and stakeholder management skills. Preferred Qualifications Experience with tools like Talend, Fivetran, Airflow, Looker, or Power BI. Knowledge of Python or dbt macros for advanced transformations. Advanced knowledge of Snowflake Data Engineering & Optimization. Understanding of data privacy regulations (e.g., GDPR, CCPA) and compliance in retail. Experience with real-time data streaming and event-driven architectures. Why Join Us? Be part of a data-driven transformation in a dynamic retail environment. Work with cutting-edge tools and cloud technologies. Collaborate with cross-functional teams to drive impactful business decisions. Competitive compensation, benefits, and career growth opportunities. About Cygnus Professionals, Inc. Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients. Cygnus Belief We believe in our commitment to diversity & inclusion. Equal Employment Opportunity Statement Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have valid work authorization. For further information about CYGNUS, please visit our website ___

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. What will give you a competitive edge (preferred qualifications) Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a motorized role, you will be a part of Delta’s Ground Support Equipment team. This opportunity requires 6 months of experience in a vehicle/heavy equipment maintenance environment and an understanding of mechanical, electrical, hydraulic, and pneumatic fields as they apply to industrial powered systems. A GMM (Motorized) performs similar tasks of a semi-skilled vehicle/heavy equipment maintenance mechanic. Summary of responsibilities: Applies appropriate tooling, equipment, and material to accomplish minor maintenance functions including inspections, minor troubleshooting, repairing, removing, and replacing components on select Ground Support Equipment. Assists a Lead Ground Maintenance Technician or a Ground Maintenance Technician on motorized equipment as needed. Completes data entry to record work assignments and will connect with other Company personnel as needed. External Applicants Only – Ground Maintenance Mechanic (Motorized) hired to work at the LGA airport receive a $2,500 sign-on bonus. You will receive $1,250 after 90 days of employment and the remaining $1,250 after 180 days of employment. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Completion of a two-year degree at a post-secondary technical school and/or related Military experience. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a motorized role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Motorized) specializes as a vehicle/heavy equipment mechanic, repairing vehicles and a variety of airport systems and equipment. This opportunity requires the completion of a two-year degree at a post-secondary technical school or a minimum of three years of demonstrated ability. Summary of responsibilities: Inspects, services, troubleshoots, repairs, replaces, and overhauls all components like truck chassis, body, and drive-train components on a diverse body of equipment. Electrical and hydraulic troubleshooting and repair, painting, bodywork, and technical work. Completing data entry to record work assignments and connecting with other company personnel as needed. Repair and perform maintenance on mix of motorized equipment as well as bodywork and other technical work. External Applicants Only – Ground Maintenance Technician (Motorized) hired to work at the [Airport Name] airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The starting rate for this position can increase within 6 months of your start date, based on premiums offered. Examples include, but are not limited to, ASE Certification, CIMM Certification, shift differential, and skill differential Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Mechanic (GMM) in a motorized role, you will be a part of Delta’s Ground Support Equipment team. This opportunity requires 6 months of experience in a vehicle/heavy equipment maintenance environment and an understanding of mechanical, electrical, hydraulic, and pneumatic fields as they apply to industrial powered systems. A GMM (Motorized) performs similar tasks of a semi-skilled vehicle/heavy equipment maintenance mechanic. Summary of responsibilities: Applies appropriate tooling, equipment, and material to accomplish minor maintenance functions including inspections, minor troubleshooting, repairing, removing, and replacing components on select Ground Support Equipment. Assists a Lead Ground Maintenance Technician or a Ground Maintenance Technician on motorized equipment as needed. Completes data entry to record work assignments and will connect with other Company personnel as needed. External Applicants Only – Ground Maintenance Mechanic (Motorized) hired to work at the LGA airport receive a $2,500 sign-on bonus. You will receive $1,250 after 90 days of employment and the remaining $1,250 after 180 days of employment. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other Delta personnel and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Completion of a two-year degree at a post-secondary technical school and/or related Military experience. Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Stationary) specializes in completing repairs and utilizes preventive maintenance on motors and controls, Programmable Logic Controllers (PLC), pneumatic systems, conveyor systems, and machine shop equipment. The ideal candidate is proficient in the use of diagrams, sketches, operations manuals, manufacturer's instructions, and engineering specifications to resolve malfunctions and maintain equipment. Summary of responsibilities: Locates sources of problems by observing mechanical devices in operation and repair with precision measuring and testing instruments. Determines changes in dimensional requirements of parts by inspecting used parts and using rulers, calipers, micrometers, and other measuring instruments. Ensures the proper functioning of mechanical, electro-mechanical, and electronic equipment by troubleshooting, repairing, maintaining, and calibrating industrial equipment and test equipment throughout Stationary GSE in accordance with approved manuals and procedures. Maintains equipment, parts, and supplies inventories by checking stock to log inventory levels; anticipating need; placing and expediting orders; and verifying receipt. Prepares maintenance reports by collecting, analyzing, and summarizing information and trends. External Applicants Only – Ground Maintenance Technician (Stationary) hired to work at the LGA airport receive a $5,000 sign-on bonus. You will receive $2,500 after 90 days of employment and the remaining $2,500 after 180 days of employment. The minimum starting hourly rate for this position is $36.22 with the ability to increase your hourly rate within 6 months of your start date, based upon premiums offered. Examples include but are not limited to CIMM Certification, Shift differential, and Skill differential. Eligible Delta employees based in New York City (JFK or LGA) can be reimbursed up to $250 per month for specific transportation expenses incurred while traveling to and from work. Employees using public transit, including trains, buses, subways, ferries or van pools to get to and from JFK or LGA may be eligible. Qualified candidates must also possess at least one of the following: Electrical/Relay knowledge: Understanding and proficiency in repairing 12 to 50 VAC/DC control circuits, 120 VAC single-phase electrical circuits and control circuits, 480 VAC 3-phase electrical systems. PLC Controls/Network: Proficiency and knowledge of repairing PLC and the associated computer network systems. Allen Bradly PLCS, SLC 500, SLC 5000 and Micro Logix systems. Industrial Maintenance/Conveyor Systems/Passenger Loading Bridges (PLB): Knowledge of system operations for PLB, system operation for conveyor systems and heavy equipment maintenance on hydraulics/electrical/mechanical on large industrial machinery. Industrial A/C refrigeration: Knowledge of high-pressure point-of-use pre-condition air systems, low-pressure glycol chiller systems, and repair and isolate system failures, as well as the related software for both high- and low-pressure control circuits systems. 400 Hz Generator/Inverter Ground Power: Strong understanding of electronic and electrical components and proficiency at identifying problems and repairing and rebuilding them. A background in 400 Hz, testing equipment as needed to perform repair/overhaul, and the ability to read electrical schematics and drawings are required. Familiarity with Jetpower II, Jetpower Plus, and CSI units. Experience operating passive and resistive load banks and working in an electronics environment. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Ability to lift items weighing between 50 and 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Completion of a two-year degree at a post-secondary technical school or have a minimum of three years of demonstrated ability. Must achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. What will give you a competitive edge (preferred qualifications) A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas. Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics. Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors. Respond to customers' needs with minimum direction and perform repairs in time-sensitive situations. Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

W2 ONLY No C/C No Corp-to-Corp employers 100% remote Lead AI Engineer Location: Remote Duration: Contract Work Authorization: USC or GC only Interview Process: Background check required Important: Candidates must be able to travel to one of the client’s offices on Day 1 for onboarding verification: Denver, CO; New York, NY; Atlanta, GA; Plymouth Meeting, PA; Overland Park, KS; or St. Petersburg, FL. We are seeking an experienced Lead AI Engineer to help turn AI initiatives into secure, production-ready, enterprise-scale solutions. This role will focus heavily on Agentic AI systems and will partner closely with AI, engineering, and product teams. The ideal candidate brings a strong blend of hands-on engineering expertise, architecture knowledge, and leadership ability. This person will help bridge business needs, technical standards, and implementation to ensure AI solutions are scalable, reproducible, secure, and aligned with long-term enterprise strategy. Key Responsibilities • Design, build, and deploy full-stack applications using Python and React, • Architect secure, scalable systems with strong focus on security, compliance, and best practices, • Lead internal AI initiatives, including support of existing AI-enabled products and delivery of new AI-driven solutions, • Provide guidance to teams on how to leverage AI effectively across the organization, • Build and integrate agentic AI systems using modern LLM and GenAI technologies, • Collaborate with cross-functional teams to scope, prototype, and deliver AI solutions quickly, • Serve as a technical partner to business teams to identify AI opportunities that improve efficiency, reduce risk, and enhance customer experience, • Integrate GenAI models into full-stack applications and internal workflows, • Contribute to prompt engineering, fine-tuning, and evaluation of model outputs, • Build reusable services for multi-agent orchestration and task automation, • Optimize AI inference pipelines for scalability, latency, and cost efficiency, • 7+ years of full-stack development experience with technologies such as Python, JavaScript, Node.js, and React, • Strong experience with LLM frameworks such as LangChain and Bedrock, • Experience with AI-enabled workflows and data processing in Python, • Strong knowledge of LLMs, prompt engineering, RAG architecture, and Agentic AI, • Deep understanding of embeddings, vector databases, and retrieval pipelines, • Experience with Git, CI/CD, DevOps, and production-grade GenAI deployment practices, • Hands-on experience with Docker, Kubernetes, and cloud-native deployment, • Knowledge of AI observability, model monitoring, and cost optimization, • Strong communication skills with ability to work across technical and non-technical teams, • Experience in financial services or other highly regulated environments, • Familiarity with core banking systems or similarly complex enterprise platforms

About the Role We’re looking for a Product Specialist who combines strong technical knowledge of machinery with excellent customer service skills. In this role, you will support customers by answering product questions, guiding equipment setup, and assisting with troubleshooting. You will also work closely with our service teams to diagnose and resolve customer issues, ensuring customers receive timely and effective technical support. This position also requires the ability to work hands-on with equipment when needed. You should be comfortable inspecting machines, performing basic repairs, and helping identify mechanical or electrical issues to ensure products are functioning properly. Additionally, you will act as a bridge between our U.S. and China teams, helping communicate technical questions, product feedback, and operational issues with internal colleagues to improve product quality and the overall customer experience. About MechMaxx Founded in 2019, MechMaxx is a fast-growing provider of high-quality, affordable machinery and equipment designed for hardworking individuals and businesses. Built on values of trust, dependability, and customer satisfaction, we serve a wide range of industries with a focus on delivering value without compromising on quality. What We Offer ● Base salary of $85,000 - $100,000 plus quarterly performance-based bonuses ● Hybrid schedule (3 days in office/2 days remote) ● Health benefits, PTO, and more ● A supportive, mission-driven culture with opportunities for growth What You’ll Do ● Provide product-focused support to customers via phone, email, and ticketing systems ● Assist with machine setup, operation, and troubleshooting ● Perform hands-on inspection, diagnostics, and basic repair of equipment when necessary to identify mechanical or electrical issues. ● Provide product training and operational guidance to customers, dealers, and internal sales teams. ● Coordinate with engineers and service teams to resolve warranty or technical issues ● Share product feedback and insights with R&D to support continuous improvement ● Support order updates, delivery coordination, and warranty claims What We’re Looking For ● 2+ years’ experience with machinery, tools, or industrial equipment (hands-on use, technical support, or related field) ● Fluency in Mandarin would be a plus ● Prior customer service or technical support experience ● Strong problem-solving, organizational, and communication skills ● Ability to explain technical concepts in clear, customer-friendly language ● Experience with tools like Salesforce, Zendesk or Gladly is a plus ● Bachelor’s degree preferred (or equivalent practical experience) ● U.S. work authorization required

Are you passionate about connecting people and systems from a design, implementation, and training perspective? Are you a payroll guru who understands the nuts and bolts of gross-to-net processing, taxes, and compliance across multiple jurisdictions? Do you thrive on translating complex payroll requirements into system configuration that just works? Then this job might be perfect for you. At Elevate HR, we believe in establishing long-term relationships with our clients and long-term careers for our employees. We believe that people are the dynamic engines of company growth. Come work hand-in-hand with Microsoft to deliver unrivaled Identity Access Management (IAM) and Human Capital Management (HCM) software and consulting solutions for companies across the globe. Your profile for success at Elevate HR: • Technically adept, scrappy, and self-motivated, • Exceptional writer and presenter – you should be capable of writing and delivering fresh, engaging correspondence that resonates with customers from the cubicle to the boardroom, • Out-of-the-box thinker and leader with a data-informed creative streak, • Keen ability to discern between processes that drive growth and processes that promote stagnancy A few boxes you’ll need to check: • Undergraduate and/or advanced degree from a top accredited university, with an exceptional academic track record, • 3-5 years of direct payroll experience, including payroll processing, reconciliation, and compliance (U.S. multi-state experience strongly preferred), • 3-5 years implementing or configuring Payroll and HRIS systems (e.g. Microsoft Dynamics 365, ADP, Workday, Ceridian, SAP SuccessFactors, or similar), • Experience leading or supporting payroll system go-lives, including requirements gathering, configuration, testing, and payroll parallel runs, • 3-5 years exposure to Enterprise Resource Planning software and implementations a plus, • Facility with Microsoft Excel and the entire Microsoft Office suite, • Experience with SQL-based joins and queries a plus, • Residence in or within easy daily commuting distance from Manhattan, NY a plus, • Experience traveling independently and ability to travel regularly for work, ~25-30%, • Authorization to work in the United States now and in the future A year in the life: • Serve as an HR and payroll evangelist at work and in life, promoting and driving best practice through software, • Engage in full-lifecycle Microsoft Dynamics® 365 + elevatePAY® implementations, assisting solutions architects, project managers, developers and trainers, • Work directly with client payroll teams to document and design pay rule structures, earning and deduction codes, tax configurations, general ledger mappings, etc., • Collaborate with clients and partners to gather requirements and understand their payroll processes and challenges, • Conduct workshops and training sessions for clients and end-users on system functionality and best practices, • Provide ongoing support and troubleshooting during the implementation phase, • Document processes and workflows for training purposes, • Configure integration queries and mappings leveraging elevateX® for Universal Integration, • Achieve superlative customer and partner satisfaction, • Write functional requirements and functional design documents for new product, creative configurations, and client-driven customizations, • Lead data migration and integration mapping projects, • Adapt to evolving project management styles founded on the Microsoft Dynamics Sure Step implementation methodology, • Assist with proposal development in response to prospective or current client inquires and requests Elevate HR, Inc. is an equal opportunity employer. All qualified applicants with active, current authorization to work in the U.S. will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability or protected veteran status. © Elevate HR 2026

Company Overview: Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our domains include Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients. BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients in driving smarter decisions, reducing risks, and staying ahead in a fast-evolving market environment. About the Role: The Business Analyst will support requirements analysis, process mapping, and functional design for payment and wire initiatives at one of our investment banking clients. This includes supporting US Wires ramp-up, redefining payment flows, ensuring compliance with regulatory and operational controls, and coordinating across business, operations, and technology groups. You must have valid US work authorization and must physically reside around the posted city, within a 50-mile commute. We are unable to support relocation costs. Please do not apply for this position unless you meet the criteria outlined above. Key Responsibilities: • Gather, document, and refine business and functional requirements for payments/wires programs., • Analyze current-state vs target-state workflows; develop process models and user stories., • Partner with engineering and architecture teams to translate requirements into technical designs., • Coordinate UAT, regression testing, and validation with user groups., • Support documentation required for audits, controls, and risk assessments., • Ensure alignment with enterprise initiatives and regulatory mandates. Required Skills: • 3–10+ years as a BA in financial services., • Experience in payments, wires, treasury operations, or transaction banking., • Strong requirements documentation, workflow analysis, and stakeholder communication., • Familiarity with payment messages, exceptions, and operational controls. Preferred Skills: • Experience with ISO 20022., • Agile environments; Jira/Confluence proficiency., • Understanding of APIs, system integrations, and batch vs real-time processing. The base salary range for this role is $100,000 - $140,000 Benefits: • Choice of medical, dental, vision insurance., • Voluntary benefits., • Short- and long-term disability., • HSA and FSAs., • Matching 401k., • Discretionary performance bonus., • Employee referral bonus., • Employee assistance program., • 11 public holidays., • 20 days PTO., • 7 Sick Days., • PTO buy and sell program., • Volunteer days., • Paid parental leave., • Remote/hybrid work environment support. For more information about BIP US, visit ___. Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.