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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).

Hiring CDL-A Truck Drivers\n\n • TURN MILES INTO MONEY - Average $4,200-$5,700 gross per week\n, • SMART START TO OWNERSHIP - Flexible leases and a $1,000 sign-on bonus\n, • Strong weekly revenue with consistency. Drivers average $4,200-$5,700 gross per week, depending on route, miles, and freight selection.\n, • Pay that rewards skill and responsibility. Earn increased tarping pay and 50% over-dimensional pay, giving experienced flatbed drivers more upside for specialized work.\n, • Freight that builds your career. Take advantage of opportunities to haul larger and more complex freight, helping you grow your experience and long-term earning potential.\n, • Driver-friendly policies. Bring your pet along for the ride, and enjoy consistent freight access that keeps your business moving.\n\n\nLease Purchase Program Details\n\n, • Affordable weekly payments. Average truck payments range from $550-$705 per week, depending on truck and lease term.\n, • Flexible lease terms. Choose from one-, two-, or three-year lease options to match your long-term goals, with interest rates varying depending on truck and lease term.\n, • Late-model equipment. Operate 2020-2026 Freightliner, Peterbilt, or Volvo trucks, spec'd for comfort and reliability.\n, • Low barrier to entry. Get started with no down payment, no credit check, and a $1,000 sign-on bonus.\n, • Valid CDL-A License\n, • 1+ years verifiable OTR experience\n

Applied Researcher II (AI Foundations) 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 Francisco, CA: $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).

Applied Researcher II 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 * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * 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 * AI Safety * PhD focused on topics related to adversarial machine learning, red teaming and model alignment. * Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. * Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. * Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. * Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. 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: $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).

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) 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. The AI Foundations – AI Software Engineering team builds scalable, state-of-the-art AI architectures designed to transform the software development lifecycle at Capital One. Our goal is to empower internal engineers by developing multi-agent solutions that streamline design, code generation, system migration, and troubleshooting to operate software more effectively at scale.To achieve this, we leverage a cutting-edge stack including LangGraph, MCP, Knowledge Graphs, agent-to-agent protocols, and advanced model customization. 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 * Agentic AI Research * PhD focused on multi-agent systems, autonomous agents, planning, or reinforcement learning * Hands-on experience developing and deploying multi-agent architectures (e.g., using frameworks like LangGraph or specialized agent protocols) * Experience with techniques like tool-use integration, memory management for agents, or verifiable agent behavior * Knowledge Graph Research * PhD focused on knowledge representation and reasoning, graph neural networks (GNNs), or large-scale data integration * Publications in relevant venues (e.g., ISWC, WWW, KDD, Neurips, ICML) on knowledge graph construction, embedding, querying, or reasoning * Experience in designing, implementing, and deploying industrial-scale Knowledge Graph solutions * Demonstrated expertise with graph databases (e.g., Neo4j, JanusGraph) and graph embedding techniques * 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).

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 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 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) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * 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 with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs 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: $278,400 - $317,700 for Distinguished Applied Researcher Cambridge, MA: $306,300 - $349,500 for Distinguished Applied Researcher McLean, VA: $306,300 - $349,500 for Distinguished Applied Researcher New York, NY: $334,100 - $381,300 for Distinguished Applied Researcher San Francisco, CA: $334,100 - $381,300 for 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).

Applied Researcher I (AI Foundations) 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 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 (World Models) 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 * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Member of technical leadership for model deployment for a very large user behavior model * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users 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 Richmond, VA: $311,900 - $356,000 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).

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).

Pay Range: (Minimum to mid pay range specific to (OHI,DEL,NY,CA,CO,WA,MD,CT,IL,NV,,KY,MI,NJ,ME,MO,MA,MT) 85,400.00 - 106,700.00 USD Annual About Brink's: The Brink's Company (NYSE:BCO) is a leading global provider of cash and valuables management, digital retail solutions, and ATM managed services. Our customers include financial institutions, retailers, government agencies, mints, jewelers, and other commercial operations. Our network of operations in 51 countries serves customers in more than 100 countries. We believe in building partnerships that secure commerce and doing that requires fostering an engaged culture that values people with different backgrounds, ideas, and perspectives. We build a sense of belonging, so all employees feel respected, safe, and valued, and we provide equal opportunity to participate and grow. Job Description Brink's Global Services U.S., a division of Brink's, Incorporated, is the premier provider of Secure supply chain services for precious metals, diamonds and jewelry, and other VAL services to retailers, financial institutions, and commercial / government entities. The company has a proud history of providing growth and advancement opportunities for its employees. We have a challenging opportunity for a Senior Account Manager. Salary Range: 80k-100k + commission Job Summary: This position reports to the Luxury/Commodities Sales Director. The account manager will be responsible for day-to-day sales and business development function for verticals that include but are not limited to: Luxury fashion, High-end retail, and Luxury Jewelry/Watches for Brink's Global Services US. This individual will be able to problem-solve at the most senior level within the internal organization and external customers. This role will be responsible for managing global relationship on an internal and external basis often interacting with the senior leadership of operations to resolve customer issues in a global capacity. This position requires up to 25% travel to facilities throughout the United States to work on the development of new business and servicing of existing clients. Key Responsibilities: • Develop Individual account strategies in conjunction with the Director of Luxury to execute them at the highest service standards and to the full satisfaction of our customers., • Focuses on retention and growth of top revenue-generating customers, • Expands lanes to maximize wallet share, • Problem-solves operational challenges internally and externally, • Prepares content and attends QBRs with LOB Owner, • Respond to RFP's, follow up on offers submitted to clients and other Brink's stations., • Ensure activities are coordinated with the global team., • Support the Luxury Customer Service Team in all matters related to the business., • Adherence to local, national, and international legislation and procedures (Customs, VAT, Money laundering etc.)., • Build, foster and manage relationships with 10-50 top clients, • Utilize the CRM to provide global visibility to activity., • Monitor deals and agreements with customers, affiliates, and subcontractors, ensuring adequate margins, compliance with company procedures., • Communicate with affiliates worldwide regarding opportunities with common international clients. Minimum Qualifications: • Proven track record of success selling logistics and freight forwarding services - preferably in the Retail, Fashion, or High Value Products verticals., • Minimum 2-3 years of experience in field sales in logistics/freight forwarding preferred or min 2-3 years sales experience and operational experience, • B.A. or equivalent degree in Business, Logistics, Supply Chain, or related field., • Experience in import/ export operations as it relates to high value commodities, • Excellent track-record in developing profitable and successful relationships., • Experience within a fast paced, competitive, environment., • Possess a strong client facing presence, well developed relationship skills, and the knowledge to contribute effectively to successful proposal creation., • Intermediate level experience with Microsoft Office products. Basic data base management and or project management software skills would be a plus., • Excellent communication, interpersonal and skills., • Strong time management skills, • Skilled in working cross culturally, in developing relationships with stakeholders regionally and globally, • Excellent marketing, sales, operational, and customer service skills, • Ambitious, enthusiastic, and self-motivated with a strong work ethic, • Fast paced, high energy level and able to manage multiple priorities, • A confident, assertive 'doer', • Not frightened to challenge and to tackle issues, • Commercially and financially astute, • Adapts quickly to change If you have the background and integrity we require and are looking for a challenging opportunity, we hope you will consider employment with Brink's Global Services. Brink's, Incorporated is an Equal Opportunity / Affirmative Action Employer, and is committed to maintaining a drug-free workplace. What's Next? Thank you for considering applying for a job at Brink's. To be considered for this position, you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature. Upon completion of the application process, you will receive an email confirming that we have received your application. We will review all candidates and notify you of your status should we deem you fit for a job. Thank you again for your interest in a career at Brink's. For more information about future career opportunities, join our talent network, like our Facebook page or Follow us on X. Brink's is an equal opportunity/affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, marital status, protected veteran status, sexual orientation, gender identity, genetic information, or history or any other characteristic protected by law. Brink's is also committed to providing a drug-free workplace. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

You've built a career in treasury. You know the mechanics, you understand the strategy, and you've earned the right to own something bigger than your current title allows. But at your company, the path from Senior Analyst to the next level runs through years of waiting, layers of approvals, and a promotion timeline someone else controls. ⠀ What if you could skip the line? ⠀ 𝗧𝗛𝗘 𝗖𝗢𝗠𝗣𝗔𝗡𝗬 Pave Talent is hiring on behalf of our client, a fast-growing insurance carrier backed by a major private equity firm. This company was built from scratch by senior leadership recruited from some of the most respected names in insurance and financial services, and it has scaled rapidly with significant capital behind it. ⠀ The treasury function is brand new. The Treasurer is building a team of three, and this Senior Treasury Analyst role is the centerpiece: the person who drives the analytical engine, leads the TMS implementation, and sets the standard for how treasury operates as the business grows. ⠀ 𝗖𝗔𝗥𝗘𝗘𝗥 𝗔𝗖𝗖𝗘𝗟𝗘𝗥𝗔𝗧𝗜𝗢𝗡 This is not just a Senior Analyst title. You will function as a de facto Assistant Treasurer, building treasury operations alongside the Treasurer with direct access to the CFO and CEO daily. The Treasurer described it this way: "You're going to be on the ground floor building treasury with the Treasurer from the ground up, effectively acting as an assistant treasurer. If you've got a decent amount of experience, this could be a real way to move up your career quickly and get a ton of experience you wouldn't get at a large shop." ⠀ The company just signed with Kyriba for their Treasury Management System. The implementation hasn't started yet. You would lead that buildout from the operations side, working with the implementation consultant to configure and launch the platform. That is your project from day one. ⠀ 𝗪𝗛𝗬 𝗧𝗛𝗜𝗦 𝗖𝗢𝗠𝗣𝗔𝗡𝗬 Most insurance companies are running on decades-old technology, buried in technical debt. This company is building a modern, cloud-native platform from scratch, designed to scale rapidly while redefining how policyholders experience financial products. ⠀ The PE backing isn't just money. The firm behind this company has a track record of building industry-leading businesses across financial services, consumer brands, and technology. The thesis: take a proven operator, give them a blank slate, back them with serious capital, and let them build the company they always envisioned. ⠀ 𝗧𝗛𝗘 𝗢𝗣𝗣𝗢𝗥𝗧𝗨𝗡𝗜𝗧𝗬 You will report directly to the Treasurer in a three-person team. There are no VP or SVP layers between you and the C-suite. The company runs a flat, collaborative structure where titles are simple and access is real. ⠀ Your scope covers the analytical and strategic side of treasury: liquidity forecasting, capital and collateral management, investment portfolio support, treasury analytics, and reporting. You will also supervise daily treasury operations run by the Treasury Analyst, mentoring them as processes mature and the function scales. ⠀ 𝗔 𝗡𝗢𝗧𝗘 𝗢𝗡 𝗜𝗡-𝗢𝗙𝗙𝗜𝗖𝗘 𝗥𝗘𝗤𝗨𝗜𝗥𝗘𝗠𝗘𝗡𝗧 This role requires four days per week in-office in Midtown Manhattan (Monday through Thursday), with Fridays remote. This is firm and comes directly from leadership. If a hybrid schedule with four days onsite does not work for you, this is not the right fit. We want to be upfront about this so neither side wastes time. ⠀ 𝗪𝗛𝗔𝗧 𝗬𝗢𝗨'𝗟𝗟 𝗕𝗨𝗜𝗟𝗗 • Lead the Kyriba TMS implementation: work with the consultant to configure the platform, define workflows, test integrations, and drive adoption across the treasury function, • Own cash flow forecasting across multiple time horizons, gathering inputs cross-functionally from accounting, investments, and operations and presenting to the Treasurer and CFO, • Manage liquidity monitoring, collateral management, and capital requirement reporting as the insurance platform scales, • Support capital markets activity including FHLB program administration, credit facility management, and external counterparty interaction, • Supervise and mentor the Treasury Analyst on daily treasury operations (cash positioning, wire processing, bank reconciliation), ensuring quality and consistency as processes scale, • Build treasury analytics and reporting frameworks from scratch, including board-level and investor-facing deliverables, • Manage banking relationships end-to-end: lead conversations with banking partners, optimize account structures, drive fee negotiations, and handle the operational plumbing of bank forms, controls, and file configurations, • Develop and document treasury policies, SOPs, and internal controls where none currently exist ⠀ 𝗔 𝗡𝗢𝗧𝗘 𝗙𝗢𝗥 𝗣𝗔𝗦𝗦𝗜𝗩𝗘 𝗖𝗔𝗡𝗗𝗜𝗗𝗔𝗧𝗘𝗦 Let's be direct: you're good at what you do. But at a large company, you're going to get strung along for a long time before you get real visibility or ownership. ⠀ Here's the alternative: join a company backed by a major PE firm, led by leadership with decades of industry credibility, and build treasury from scratch alongside the Treasurer. You will get years of compressed experience, direct C-suite interaction, and the kind of resume line that separates you from everyone else at your level. ⠀ If you've been waiting for the right opportunity to make a move, this is it. ⠀ 𝗧𝗛𝗘 𝗥𝗘𝗔𝗟 𝗧𝗔𝗟𝗞 This is a startup. Right now, even the Treasurer is moving cash. The hiring manager said it directly: "I need somebody that's really excited, that wants to work on things. The job will get interesting, but right now it's a lot of rolling up your sleeves." ⠀ There are no inherited playbooks. You will write the playbook. If you need established processes and clear guardrails to do your best work, this isn't the right fit. If ambiguity energizes you and you want to build something you can point to and say "I did that," keep reading. ⠀ You also need to understand how insurance companies make money. That is not negotiable. The team recently passed on a candidate specifically because they could not articulate the basic insurance business model. Come prepared to talk about how insurers generate revenue, manage float, and think about risk. If you haven't done the homework before the interview, you won't get past the first conversation. ⠀ 𝗤𝗨𝗔𝗟𝗜𝗙𝗜𝗖𝗔𝗧𝗜𝗢𝗡𝗦 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱: • 6 to 12 years of corporate treasury experience with demonstrated breadth across multiple functions. This is critical: if your career has been concentrated in a single treasury function, even if you've done it well for a decade, this role requires someone who has touched cash management, forecasting, capital markets, banking operations, and reporting. The CFO recently passed on a candidate whose experience was deep but narrow., • Insurance or regulated financial institution background strongly preferred. Insurance experience is a near-firm requirement from leadership, not just a preference. Candidates from banking, asset management, or other regulated financial services will be considered if exceptional across every other dimension., • CTP (Certified Treasury Professional) certification strongly preferred. CFA or MBA also valued, but CTP carries the most weight for this role., • Hands-on experience with cash flow forecasting, liquidity management, and treasury reporting, • Working knowledge of capital markets instruments: FHLB, revolving credit facilities, commercial paper, or debt programs, • TMS experience as a daily user (Kyriba preferred). Understanding of how treasury management systems work is required; implementation experience is a strong plus but not mandatory., • Direct banking relationship management experience, and not just transacting within systems someone else manages. You need to speak the language of bank operations: forms, controls, file configurations, account structures. The Treasurer needs someone who can pick up the phone with a banking partner and own the conversation., • Ability to commute to Midtown Manhattan 4 days per week, no exceptions ⠀ 𝗕𝗼𝗻𝘂𝘀 𝗣𝗼𝗶𝗻𝘁𝘀: • Experience from a middle market insurance carrier, reinsurer, or PE-backed insurance platform (teams of 5 to 20 people are the sweet spot), • Kyriba implementation involvement (configuration, testing, go-live, not just managing the consultant), • JPMorgan Access or Oracle Financials experience, • Experience mentoring or supervising junior treasury staff, • ALM, collateral management, or investment portfolio support exposure ⠀ 𝗖𝗢𝗠𝗣𝗘𝗡𝗦𝗔𝗧𝗜𝗢𝗡 𝗔𝗡𝗗 𝗕𝗘𝗡𝗘𝗙𝗜𝗧𝗦 𝗕𝗮𝘀𝗲 𝗦𝗮𝗹𝗮𝗿𝘆: $140,000 to $160,000 𝗕𝗼𝗻𝘂𝘀: 10% to 15% annual target 𝗧𝗶𝗺𝗲 𝗢𝗳𝗳: 20 vacation days, 5 sick days, 14 paid company holidays 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: Multiple plan options with 100% employer-paid medical and dental available (varies by zip code; 8 to 10 plans depending on state). Vision is employee-paid. 𝗥𝗲𝘁𝗶𝗿𝗲𝗺𝗲𝗻𝘁: 401(k) with employer match 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗲: Monday through Thursday in-office (Midtown Manhattan, near Grand Central), remote Fridays. Core hours approximately 8:30 AM to 5:30 PM. No late-night culture; the team is typically out by 5:30. 𝗧𝗵𝗲 𝗢𝗳𝗳𝗶𝗰𝗲: Modern space in Midtown Manhattan, fully stocked with snacks and drinks. Flat culture with no VP/SVP title layers. You will interact with the CFO and CEO regularly. ⠀ Apply via LinkedIn and we'll reach out to schedule a conversation. Confidential search; your application is fully private.

You've spent years learning treasury the right way. Daily cash positioning, bank reconciliations, wire processing, building the muscle memory that makes a treasury function actually run. But somewhere along the way, the ceiling showed up. You're good at what you do, and nobody's asking you to do more. ⠀ This is the role where "more" is the entire job description. ⠀ 𝗧𝗛𝗘 𝗖𝗢𝗠𝗣𝗔𝗡𝗬 Pave Talent is hiring on behalf of our client, a fast-growing insurance carrier backed by a major private equity firm. This is a company that barely existed two years ago and has already scaled to a full operating team, with serious capital behind it and senior leadership pulled from some of the most recognized names in the industry. ⠀ The treasury function is brand new. You'd be joining a small, tight team working directly with the Treasurer to build operations from the ground up. This isn't a 60-person finance org where treasury runs on autopilot. Here, your work is visible to the CFO and CEO from day one, and you'll have a level of access and impact that takes years to earn at a larger company. ⠀ 𝗖𝗔𝗥𝗘𝗘𝗥 𝗔𝗖𝗖𝗘𝗟𝗘𝗥𝗔𝗧𝗜𝗢𝗡 The company just signed with Kyriba for their Treasury Management System, and the implementation hasn't started yet. The Senior Treasury Analyst will drive that buildout, but as the person running daily operations, you'll be right in the middle of it: testing workflows, migrating your daily processes into the new system, and becoming the first power user. That kind of hands-on TMS exposure is rare at the analyst level, and here it's baked into your first year. ⠀ The Treasurer put it simply: "We're building something. I need people who understand that the job will get interesting, but right now it's a lot of rolling up your sleeves." ⠀ 𝗧𝗛𝗘 𝗢𝗣𝗣𝗢𝗥𝗧𝗨𝗡𝗜𝗧𝗬 This is an operations-first treasury role. The Senior Treasury Analyst (being hired separately) will own analytical work and oversight. Your job is to own and run the daily treasury engine: cash positioning, wire processing, bank reconciliation, payment operations, and the hands-on work that keeps the function moving. ⠀ You'll report directly to the Treasurer in a team of three. There is no VP or SVP layer between you and leadership. The company operates on a flat, collaborative structure where titles are simple and access is real. ⠀ 𝗪𝗛𝗔𝗧 𝗬𝗢𝗨'𝗟𝗟 𝗕𝗨𝗜𝗟𝗗 • Own daily cash positioning across all bank accounts; manage and execute wire transfers, ACH payments, and intercompany funding, • Perform daily bank reconciliations and resolve discrepancies with banking partners, • Support banking infrastructure buildout: account setup, signatory management, and direct bank relationship contact (currently on JPMorgan Access), • Support the Kyriba TMS implementation from the operations side: test daily workflows, validate cash positioning and payment processes in the new system, and transition from manual/spreadsheet operations to integrated TMS use, • Assist with cash flow forecasting inputs by gathering data cross-functionally from accounting, investment, and operations teams, • Support liquidity monitoring, collateral tracking, and capital requirement reporting as the insurance platform scales, • Help build and document treasury SOPs, controls, and workflows where none currently exist, • Assist with FHLB program administration and other funding source operations as the capital structure evolves ⠀ 𝗧𝗛𝗘 𝗥𝗘𝗔𝗟 𝗧𝗔𝗟𝗞 This is a startup. Right now, even the Treasurer is moving cash. There are no inherited playbooks, no established SOPs, and no large team to absorb the learning curve. The hiring manager said it directly: "If I'm doing that, then everybody's all hands on deck." ⠀ If you want a role where your boundaries are clearly defined and someone else handles the ambiguity, this isn't it. If you want a role where you build something real and get a decade's worth of exposure in two years, keep reading. ⠀ You also need to understand how insurance companies make money. That isn't optional. The team recently passed on a candidate specifically because they couldn't articulate the basic insurance business model. You don't need to come from insurance, but you need to have done your homework. ⠀ 𝗤𝗨𝗔𝗟𝗜𝗙𝗜𝗖𝗔𝗧𝗜𝗢𝗡𝗦 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱: • 2 to 8 years of corporate treasury experience (more than 8 is likely too senior for this role), • Hands-on daily experience with cash positioning, wire processing, and bank reconciliation (not just forecasting or analytics), • Working knowledge of banking platforms (JPMorgan Access experience is a strong plus), • Ability to commute to Midtown Manhattan 4 days per week, no exceptions, • Understanding of how insurance companies generate revenue (you will be asked about this) ⠀ 𝗕𝗼𝗻𝘂𝘀 𝗣𝗼𝗶𝗻𝘁𝘀: • Experience at a small to mid-size company where you touched multiple treasury functions (not just one silo at a large carrier), • Familiarity with Kyriba or comparable TMS as a daily user, • CTP certification or in progress, • Insurance, reinsurance, or financial services industry background, • Experience building processes from scratch: SOPs, controls, reporting templates, • Exposure to FHLB, revolving credit facilities, or capital markets operations ⠀ 𝗖𝗢𝗠𝗣𝗘𝗡𝗦𝗔𝗧𝗜𝗢𝗡 𝗔𝗡𝗗 𝗕𝗘𝗡𝗘𝗙𝗜𝗧𝗦 𝗕𝗮𝘀𝗲 𝗦𝗮𝗹𝗮𝗿𝘆: $130,000 to $150,000 𝗕𝗼𝗻𝘂𝘀: 10% to 15% annual target 𝗧𝗶𝗺𝗲 𝗢𝗳𝗳: 20 vacation days, 5 sick days, 14 paid company holidays 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: Multiple plan options with 100% employer-paid medical and dental available (varies by zip code; 8 to 10 plans depending on state). Vision is employee-paid. 𝗥𝗲𝘁𝗶𝗿𝗲𝗺𝗲𝗻𝘁: 401(k) with employer match 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗲: Monday through Thursday in-office (Midtown Manhattan, near Grand Central), remote Fridays. Core hours approximately 8:30 AM to 5:30 PM. No late-night culture; the team is typically out by 5:30. 𝗧𝗵𝗲 𝗢𝗳𝗳𝗶𝗰𝗲: Modern space in Midtown Manhattan, fully stocked with snacks and drinks. A team of roughly 65 people, growing fast. Flat culture with no VP/SVP title layers. You'll interact with the CFO and CEO regularly. ⠀ Apply via LinkedIn and we'll reach out to schedule a conversation. Confidential search; your application is fully private. ⠀ 𝗣𝗮𝘃𝗲 𝗧𝗮𝗹𝗲𝗻𝘁 | 𝗛𝗶𝗿𝗶𝗻𝗴 𝗥𝗲𝗶𝗺𝗮𝗴𝗶𝗻𝗲𝗱

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) 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. The AI Foundations – AI Software Engineering team builds scalable, state-of-the-art AI architectures designed to transform the software development lifecycle at Capital One. Our goal is to empower internal engineers by developing multi-agent solutions that streamline design, code generation, system migration, and troubleshooting to operate software more effectively at scale.To achieve this, we leverage a cutting-edge stack including LangGraph, MCP, Knowledge Graphs, agent-to-agent protocols, and advanced model customization. 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 Agentic AI Research PhD focused on multi-agent systems, autonomous agents, planning, or reinforcement learning Hands-on experience developing and deploying multi-agent architectures (e.g., using frameworks like LangGraph or specialized agent protocols) Experience with techniques like tool-use integration, memory management for agents, or verifiable agent behavior Knowledge Graph Research PhD focused on knowledge representation and reasoning, graph neural networks (GNNs), or large-scale data integration Publications in relevant venues (e.g., ISWC, WWW, KDD, Neurips, ICML) on knowledge graph construction, embedding, querying, or reasoning Experience in designing, implementing, and deploying industrial-scale Knowledge Graph solutions Demonstrated expertise with graph databases (e.g., Neo4j, JanusGraph) and graph embedding techniques 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).

What is Uber? Do you have the right skills and experience for this role Read on to find out, and make your application. Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly. Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary) Why Drive With Uber?: * Receive your earnings fast: With Uber, you can cash out your earnings up to 5 times a day with Instant Pay. * You are your own boss: You decide how much or little you want to drive and earn. * Don't have a car? Uber has rental partners available that allow you to rent a car by the hour, day, or week. * Signing up only takes a few minutes: We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * Meet the minimum age to drive in your city * Have at least one year of licensed driving experience in the US (3 years if you are under 25 years old) * Use an eligible 4-door vehicle * You consent to driver screening and background check * You have an iPhone or Android smartphone * Vehicle Requirements vary by region, we'll show you what is needed Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, cdl truck driver, class a or class b driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, cab driver, cab chauffeur, taxi cab driver, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Drivers using the Uber platform come from all backgrounds and industries ranging from traditional driving and transportation industries to other industries. No professional driving experience required. Driving with Uber is a great way to supplement your part time or full time income. Additional Documents to Drive * A valid US Driver's license * Proof of residency in your city, state, or province * Proof of vehicle insurance if you plan to drive your own vehicle *Depending on your city or state, additional documentation or information may be required. xhqgsiq Our support team is available 24/7 to help you answer any questions you may have about registration.

What is Uber? Do you have the right skills and experience for this role Read on to find out, and make your application. Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly. Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary) Why Drive With Uber?: * Receive your earnings fast: With Uber, you can cash out your earnings up to 5 times a day with Instant Pay. * You are your own boss: You decide how much or little you want to drive and earn. * Don't have a car? Uber has rental partners available that allow you to rent a car by the hour, day, or week. * Signing up only takes a few minutes: We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * Meet the minimum age to drive in your city * Have at least one year of licensed driving experience in the US (3 years if you are under 25 years old) * Use an eligible 4-door vehicle * You consent to driver screening and background check * You have an iPhone or Android smartphone * Vehicle Requirements vary by region, we'll show you what is needed Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, cdl truck driver, class a or class b driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, cab driver, cab chauffeur, taxi cab driver, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Drivers using the Uber platform come from all backgrounds and industries ranging from traditional driving and transportation industries to other industries. No professional driving experience required. Driving with Uber is a great way to supplement your part time or full time income. Additional Documents to Drive * A valid US Driver's license * Proof of residency in your city, state, or province * Proof of vehicle insurance if you plan to drive your own vehicle *Depending on your city or state, additional documentation or information may be required. xhqgsiq Our support team is available 24/7 to help you answer any questions you may have about registration.

What is Uber? Do you have the right skills and experience for this role Read on to find out, and make your application. Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly. Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary) Why Drive With Uber?: * Receive your earnings fast: With Uber, you can cash out your earnings up to 5 times a day with Instant Pay. * You are your own boss: You decide how much or little you want to drive and earn. * Don't have a car? Uber has rental partners available that allow you to rent a car by the hour, day, or week. * Signing up only takes a few minutes: We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * Meet the minimum age to drive in your city * Have at least one year of licensed driving experience in the US (3 years if you are under 25 years old) * Use an eligible 4-door vehicle * You consent to driver screening and background check * You have an iPhone or Android smartphone * Vehicle Requirements vary by region, we'll show you what is needed Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, cdl truck driver, class a or class b driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, cab driver, cab chauffeur, taxi cab driver, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Drivers using the Uber platform come from all backgrounds and industries ranging from traditional driving and transportation industries to other industries. No professional driving experience required. Driving with Uber is a great way to supplement your part time or full time income. Additional Documents to Drive * A valid US Driver's license * Proof of residency in your city, state, or province * Proof of vehicle insurance if you plan to drive your own vehicle *Depending on your city or state, additional documentation or information may be required. xhqgsiq Our support team is available 24/7 to help you answer any questions you may have about registration.

Delivery Drivers We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen.Money! Our delivery experts are paid cash daily from earned tips and mileage reimbursement.That is money in your pocket every night

We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen. Money! Our delivery experts are paid cash daily from earned tips and mileage reimbursement. You must be 18 years of age and have a valid driver's l

Side Hustles Flexible Work to Earn Extra Cash Looking to make extra money on the side? You dont need to leave your full-time job to do it.

Join OTG as a Money Room Attendant and drive a new type of hospitality. The OTG Money Room Attendant ensures the integrity of the company cash vault at opening and closing, and crewmember distributions and returns.

Position Summary: The OTG Money Room Attendant ensures the integrity of the company cash vault at opening and closing, and crewmember distributions and returns.

What is Uber? Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly. Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary) Why Drive With Uber?: Receive your earnings fast: With Uber, you can cash out your earnings up to 5 times a day with Instant Pay. You are your own boss: You decide how much or little you want to drive and earn. Don’t have a car? Uber has rental partners available that allow you to rent a car by the hour, day, or week. Signing up only takes a few minutes: We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: Meet the minimum age to drive in your city Have at least one year of licensed driving experience in the US (3 years if you are under 25 years old) Use an eligible 4-door vehicle You consent to driver screening and background check You have an iPhone or Android smartphone Vehicle Requirements vary by region, we’ll show you what is needed Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, cdl truck driver, class a or class b driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, cab driver, cab chauffeur, taxi cab driver, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Drivers using the Uber platform come from all backgrounds and industries ranging from traditional driving and transportation industries to other industries. No professional driving experience required. Driving with Uber is a great way to supplement your part time or full time income. Additional Documents to Drive A valid US Driver’s license Proof of residency in your city, state, or province Proof of vehicle insurance if you plan to drive your own vehicle *Depending on your city or state, additional documentation or information may be required. Our support team is available 24/7 to help you answer any questions you may have about registration.

Side Hustles - Flexible Work to Earn Extra Cash Looking to make extra money on the side? You don't need to leave your full-time job to do it.

Side Hustles � Flexible Work to Earn Extra Cash Looking to make extra money on the side? You don�t need to leave your full-time job to do it.With flexible side hustles, you can earn on your own schedule � nights, weekends, whenever it works for you.Opportunities include: Freelancing (writing

We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen.Our delivery experts are paid cash daily from earned tips and mileage reimbursement.That is money in your pocket every night! Delivery Experts will

Cash-out Instantly - Roadie allows you to earn cash on trips you're already taking, whether you drive across town or across state lines. Choose deliveries that fit your schedule and see guaranteed payouts upfront, Get matched with multiple/bundled deliveries (make more money in less time), Stay in c

What is Uber? Do you have the right skills and experience for this role Read on to find out, and make your application. Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly. Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary) Why Drive With Uber?: * Receive your earnings fast: With Uber, you can cash out your earnings up to 5 times a day with Instant Pay. * You are your own boss: You decide how much or little you want to drive and earn. * Don't have a car? Uber has rental partners available that allow you to rent a car by the hour, day, or week. * Signing up only takes a few minutes: We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * Meet the minimum age to drive in your city * Have at least one year of licensed driving experience in the US (3 years if you are under 25 years old) * Use an eligible 4-door vehicle * You consent to driver screening and background check * You have an iPhone or Android smartphone * Vehicle Requirements vary by region, we'll show you what is needed Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, cdl truck driver, class a or class b driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, cab driver, cab chauffeur, taxi cab driver, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Drivers using the Uber platform come from all backgrounds and industries ranging from traditional driving and transportation industries to other industries. No professional driving experience required. Driving with Uber is a great way to supplement your part time or full time income. Additional Documents to Drive * A valid US Driver's license * Proof of residency in your city, state, or province * Proof of vehicle insurance if you plan to drive your own vehicle *Depending on your city or state, additional documentation or information may be required. xhqgsiq Our support team is available 24/7 to help you answer any questions you may have about registration.

We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen.Our delivery experts are paid cash daily from earned tips and mileage reimbursement.That is money in your pocket every night! Delivery Experts will

Accurately and efficiently process and record routine transactions for members/non-members.The successful candidate will negotiate checks, accept and disburse cash, process share deposits, share withdrawals, loan payments, VISA payments, money orders, gift cards, travel money cards and amusement par

Job Description About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today! Purpose: We are looking for an experienced Part-time or Full-time Provider (Nurse Practitioner or Physician Assistant) to provide primary care to our patients in the Far Rockaway / Rockaway Beach / Long Beach, NY region. You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. What You'll Do: • Provide high quality care to primary and palliative patients in and around Far Rockaway / Rockaway Beach / Long Beach, NY, • Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care., • Effectively communicate with office staff and clinical operations across various internal platforms, • Provide high quality, patient centered care to a panel of patients, • Attend quarterly medical staff meetings, • Develop impressions, diagnosis, and treatment plans, • Foster trust and consult with patients, families, and caregivers during visits, • Order diagnostic testing as medically necessary, • Board Certified, with a valid NP or PA certification in the State of New York, • Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose, • Positive demeanor and strong people skills, • Ability to confidently problem solve and operate independently, • A flexible schedule - so you can see your patients during a schedule that works for you, • Autonomy - so you can feel trusted to provide the best care possible., • Support - from our in-house clinical team with any requests or orders., • Full-time: $105,000 - $160,000+ (depending on experience and other incentives) #tan Full-time employees qualify for the following benefits: • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity., • Paid Time Off, • Paid Sick Time, • 401(k) with up to 3% company match, • Referral Program Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Job Description About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today! Purpose: We are seeking an experienced Advanced Provider (Nurse Practitioner or Physician Assistant) to deliver primary and palliative care to residents within an Assisted Living Facility in Long Island, NY This unique role allows you to practice in a single, convenient location, eliminating the daily travel, windshield time, and logistical challenges of a traditional home-visit model. You will be the key clinical provider on-site, applying medical techniques and principles under physician supervision to manage the complex, chronic needs of a geriatric population. What You'll Do: • Provide high-quality, patient-centered primary to a dedicated panel of residents within the assisted living facility., • Conduct comprehensive health assessments, including physical examinations and reviews of medical history, to develop personalized, proactive care plans., • Collaborate closely with the assisted living facility's interdisciplinary team, including nurses, aides, and social workers, to ensure coordinated and seamless care., • Formulate clinical impressions, diagnoses, and treatment plans focused on geriatric syndromes and chronic disease management., • Build trust and provide compassionate consultation to residents, their families, and the ALF staff., • Order and interpret diagnostic testing as medically necessary., • Prescribe medications, supplies, and other medically necessary interventions., • Attend and actively participate in quarterly medical staff and facility care plan meetings. What You'll Need: • Board Certified, with a valid NP or PA certification in the State of New York, • Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose, • Positive demeanor and strong people skills, • Ability to confidently problem solve and operate independently, • A flexible schedule - so you can see your patients during a schedule that works for you, • Autonomy - so you can feel trusted to provide the best care possible., • Support - from our in-house clinical team with any requests or orders., • $105,000 - $160,000+ (depending on experience and other incentives #pink Full-time employees qualify for the following benefits: • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity., • Paid Time Off, • Paid Sick Time, • 401(k) with up to 3% company match, • Referral Program

Job Description About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today! Purpose: We are looking for an experienced Advanced Provider (Nurse Practitioner or Physician Assistant to provide primary care to homebound and palliative care patients in Brooklyn/Queen, NY region. You will apply medical techniques and principles under the supervision of a physician, and you will care for a diverse set of patients with chronic diseases. What You'll Do: • Provide high quality care to primary and palliative patients in and around Brooklyn/Queens, NY, • Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care., • Effectively communicate with office staff and clinical operations across various internal platforms, • Provide high quality, patient centered care to a panel of patients, • Attend quarterly medical staff meetings, • Develop impressions, diagnosis, and treatment plans, • Foster trust and consult with patients, families, and caregivers during visits, • Order diagnostic testing as medically necessary, • Board Certified, with a valid NP or PA certification in the State of New York, • Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose, • Positive demeanor and strong people skills, • Ability to confidently problem solve and operate independently, • A flexible schedule - so you can see your patients during a schedule that works for you, • Chauffeur if needed, • Autonomy - so you can feel trusted to provide the best care possible., • Support - from our in-house clinical team with any requests or orders., • $105,000 - $160,000+ (depending on experience and other incentives) #tan Full-time employees qualify for the following benefits: • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity., • Paid Time Off, • Paid Sick Time, • 401(k) with up to 3% company match, • Referral Program Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Job Description About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today! Purpose: We are looking for an experienced Advanced Provider (Nurse Practitioner or Physician Assistant to provide primary care to homebound and palliative care patients in Astoria Queens, NY region. You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. What You'll Do: • Provide high quality care to primary and palliative patients in and around Queens, NY, • Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care., • Effectively communicate with office staff and clinical operations across various internal platforms, • Provide high quality, patient centered care to a panel of patients, • Attend quarterly medical staff meetings, • Develop impressions, diagnosis, and treatment plans, • Foster trust and consult with patients, families, and caregivers during visits, • Order diagnostic testing as medically necessary, • Board Certified, with a valid NP or PA certification in the State of New York, • Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose, • Positive demeanor and strong people skills, • Ability to confidently problem solve and operate independently, • A flexible schedule - so you can see your patients during a schedule that works for you, • Driver is needed, • Autonomy - so you can feel trusted to provide the best care possible., • Support - from our in-house clinical team with any requests or orders., • $160,000+ (depending on experience and other incentives) #Pink Full-time employees qualify for the following benefits: • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity., • Paid Time Off, • Paid Sick Time, • 401(k) with up to 3% company match, • Referral Program

Job Description About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today! Position Overview/Purpose: We are looking for an experienced Per Diem Nurse Practitioner to provide face-to-face assessments care to hospice patients in the Morris, Essex and Passaic County, NJ region. You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. Principal Duties and Responsibilities (Essential Functions): • Conduct visits with hospice patients in and near the Morris, Essex, Passaic region, • Work independently under the supervision of a physician, • Complete physical exam and review of systems and assess eligibility for hospice, • Speak with patients, families, and caregivers during visits and as needed, • Attend IDG meetings when possible, • Valid ROLE certification in state of job location, • Strong people and rapport building skills with positive and personable demeanor, • Demonstrated collaboration skills, • Excellent communication skills, • strong and confident presentation skills, • 1-2 years of primary care experience with older adults #pink Full-time employees qualify for the following benefits: • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity., • Paid Time Off, • Paid Sick Time, • 401(k) with up to 3% company match, • Referral Program Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Job Description About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today! Purpose: We are looking for an experienced Advanced Provider (Nurse Practitioner or Physician Assistant to provide primary care to homebound and palliative care patients in Gravesend/Flatlands, NY region. You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. What You'll Do: • Provide high quality care to primary and palliative patients in and around Gravesend/Flatands, NY, • Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care., • Effectively communicate with office staff and clinical operations across various internal platforms, • Provide high quality, patient centered care to a panel of patients, • Attend quarterly medical staff meetings, • Develop impressions, diagnosis, and treatment plans, • Foster trust and consult with patients, families, and caregivers during visits, • Order diagnostic testing as medically necessary, • Board Certified, with a valid NP or PA certification in the State of New York, • Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose, • Positive demeanor and strong people skills, • Ability to confidently problem solve and operate independently, • A flexible schedule - so you can see your patients during a schedule that works for you, • Autonomy - so you can feel trusted to provide the best care possible., • Support - from our in-house clinical team with any requests or orders., • $105,000 - $160,000+ (depending on experience and other incentives) Full-time employees qualify for the following benefits: • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity., • Paid Time Off, • Paid Sick Time, • 401(k) with up to 3% company match, • Referral Program

Job Description About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today! Purpose: We are looking for an experienced Advanced Provider (Nurse Practitioner or Physician Assistant) to provide primary care to homebound and palliative care patients in the Prospect Heights and Flatbush areas of Brooklyn, NY. You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. What You'll Do: • Provide high quality care to primary and palliative patients in and around Brooklyn, NY, • Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care., • Effectively communicate with office staff and clinical operations across various internal platforms, • Provide high quality, patient centered care to a panel of patients, • Attend quarterly medical staff meetings, • Develop impressions, diagnosis, and treatment plans, • Foster trust and consult with patients, families, and caregivers during visits, • Order diagnostic testing as medically necessary, • Board Certified, with a valid NP or PA certification in the State of New York, • Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose, • Positive demeanor and strong people skills, • Ability to confidently problem solve and operate independently, • A flexible schedule - so you can see your patients during a schedule that works for you, • Autonomy - so you can feel trusted to provide the best care possible., • Support - from our in-house clinical team with any requests or orders., • $105,000 - $160,000+ (depending on experience and other incentives) #tan Full-time employees qualify for the following benefits: • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity., • Paid Time Off, • Paid Sick Time, • 401(k) with up to 3% company match, • Referral Program Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen.Our delivery experts are paid cash daily from earned tips and mileage reimbursement.That is money in your pocket every night! Delivery Experts will

We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen.Our delivery experts are paid cash daily from earned tips and mileage reimbursement.That is money in your pocket every night! Delivery Experts will

We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen.Our delivery experts are paid cash daily from earned tips and mileage reimbursement.That is money in your pocket every night! Delivery Experts will

Job DescriptionCompany Description Delivery Drivers We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen. Money! Our delivery experts are paid cash daily from earned tips and mileage reimbursement. That is money in your pocket every night! Delivery Experts will earn a base hourly wage of $16.00! Great Hours! Looking for a second job? A part-time job? A chance to learn about the pizza business? A job with flexible hours? We deliver all of that! Whether you want to work only a few hours, just the weekend, or only evenings - we can usually make it work for you. Opportunities! Our driver position is an excellent start to learn about the delivery business, customer service and the creation of great products. Domino's Pizza is committed to promoting from within - most of our Managers started as drivers. It is a stepping stone to advancement into our Management Development Program. To drive for Domino's Pizza, you must be at least 18 years of age, have a valid driver's license and a good driving record. In addition, our qualified applicants must have an outstanding attitude toward customer service, have basic math skills, enjoy working in a fast-paced team surrounding and an insured vehicle that passes regular safety inspections. Job Description You must be 18 years of age and have a valid driver's license with a safe driving record meeting company standards as well as access to an insured vehicle which can be used for delivery. You should possess navigational skills to read a map, locate addresses within designated delivery area and must be able to navigate adverse terrain including multi-story buildings. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Valid Drivers License, along with Valid Car registration / Insurance / Inspection in the applicants name, • Friendly, • Works well with others., • Works well under stress of high paced environment., • Organized, • Efficient in time management., • Ability to multitask, • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Delivery Drivers We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen. Money! Our delivery experts are paid cash daily from earned tips and mileage reimbursement. That is money in your pocket every night! Delivery Experts will earn a base hourly wage of $16.00! Great Hours! Looking for a second job? A part-time job? A chance to learn about the pizza business? A job with flexible hours? We deliver all of that! Whether you want to work only a few hours, just the weekend, or only evenings - we can usually make it work for you. Opportunities! Our driver position is an excellent start to learn about the delivery business, customer service and the creation of great products. Domino's Pizza is committed to promoting from within - most of our Managers started as drivers. It is a stepping stone to advancement into our Management Development Program. To drive for Domino's Pizza, you must be at least 18 years of age, have a valid driver's license and a good driving record. In addition, our qualified applicants must have an outstanding attitude toward customer service, have basic math skills, enjoy working in a fast-paced team surrounding and an insured vehicle that passes regular safety inspections. Job Description You must be 18 years of age and have a valid driver's license with a safe driving record meeting company standards as well as access to an insured vehicle which can be used for delivery. You should possess navigational skills to read a map, locate addresses within designated delivery area and must be able to navigate adverse terrain including multi-story buildings. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Valid Drivers License, along with Valid Car registration / Insurance / Inspection in the applicants name, • Friendly, • Works well with others., • Works well under stress of high paced environment., • Organized, • Efficient in time management., • Ability to multitask, • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Delivery Drivers We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen. Money! Our delivery experts are paid cash daily from earned tips and mileage reimbursement. That is money in your pocket every night! Delivery Experts will earn a base hourly wage of $16.00! Great Hours! Looking for a second job? A part-time job? A chance to learn about the pizza business? A job with flexible hours? We deliver all of that! Whether you want to work only a few hours, just the weekend, or only evenings - we can usually make it work for you. Opportunities! Our driver position is an excellent start to learn about the delivery business, customer service and the creation of great products. Domino's Pizza is committed to promoting from within - most of our Managers started as drivers. It is a stepping stone to advancement into our Management Development Program. Job Description You should possess navigational skills to read a map, locate addresses within designated delivery area and must be able to navigate adverse terrain including multi-story buildings. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Friendly, • Works well with others., • Works well under stress of high paced environment., • Organized, • Efficient in time management., • Ability to multitask, • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Delivery Drivers We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen. Money! Our delivery experts are paid cash daily from earned tips and mileage reimbursement. That is money in your pocket every night! Delivery Experts will earn a base hourly wage of $16.00! Great Hours! Looking for a second job? A part-time job? A chance to learn about the pizza business? A job with flexible hours? We deliver all of that! Whether you want to work only a few hours, just the weekend, or only evenings - we can usually make it work for you. Opportunities! Our driver position is an excellent start to learn about the delivery business, customer service and the creation of great products. Domino's Pizza is committed to promoting from within - most of our Managers started as drivers. It is a stepping stone to advancement into our Management Development Program. Job Description You should possess navigational skills to read a map, locate addresses within designated delivery area and must be able to navigate adverse terrain including multi-story buildings. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Friendly, • Works well with others., • Works well under stress of high paced environment., • Organized, • Efficient in time management., • Ability to multitask, • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Delivery Drivers We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen. Money! Our delivery experts are paid cash daily from earned tips and mileage reimbursement. That is money in your pocket every night! Delivery Experts will earn a base hourly wage of $16.00! Great Hours! Looking for a second job? A part-time job? A chance to learn about the pizza business? A job with flexible hours? We deliver all of that! Whether you want to work only a few hours, just the weekend, or only evenings - we can usually make it work for you. Opportunities! Our driver position is an excellent start to learn about the delivery business, customer service and the creation of great products. Domino's Pizza is committed to promoting from within - most of our Managers started as drivers. It is a stepping stone to advancement into our Management Development Program. Job Description You should possess navigational skills to read a map, locate addresses within designated delivery area and must be able to navigate adverse terrain including multi-story buildings. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Friendly, • Works well with others., • Works well under stress of high paced environment., • Organized, • Efficient in time management., • Ability to multitask, • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Delivery Drivers We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen. Money! Our delivery experts are paid cash daily from earned tips and mileage reimbursement. That is money in your pocket every night! Delivery Experts will earn a base hourly wage of $16.00! Great Hours! Looking for a second job? A part-time job? A chance to learn about the pizza business? A job with flexible hours? We deliver all of that! Whether you want to work only a few hours, just the weekend, or only evenings - we can usually make it work for you. Opportunities! Our driver position is an excellent start to learn about the delivery business, customer service and the creation of great products. Domino's Pizza is committed to promoting from within - most of our Managers started as drivers. It is a stepping stone to advancement into our Management Development Program. To drive for Domino's Pizza, you must be at least 18 years of age, have a valid driver's license and a good driving record. In addition, our qualified applicants must have an outstanding attitude toward customer service, have basic math skills, enjoy working in a fast-paced team surrounding and an insured vehicle that passes regular safety inspections. Job Description You must be 18 years of age and have a valid driver's license with a safe driving record meeting company standards as well as access to an insured vehicle which can be used for delivery. You should possess navigational skills to read a map, locate addresses within designated delivery area and must be able to navigate adverse terrain including multi-story buildings. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Valid Drivers License, along with Valid Car registration / Insurance / Inspection in the applicants name, • Friendly, • Works well with others., • Works well under stress of high paced environment., • Organized, • Efficient in time management., • Ability to multitask, • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Delivery Drivers We recognize our delivery experts as the ambassadors of Domino's Pizza - from fresh out of the oven to the customer's door - our drivers make it happen. Money! Our delivery experts are paid cash daily from earned tips and mileage reimbursement. That is money in your pocket every night! Delivery Experts will earn a base hourly wage of $16.00! Great Hours! Looking for a second job? A part-time job? A chance to learn about the pizza business? A job with flexible hours? We deliver all of that! Whether you want to work only a few hours, just the weekend, or only evenings - we can usually make it work for you. Opportunities! Our driver position is an excellent start to learn about the delivery business, customer service and the creation of great products. Domino's Pizza is committed to promoting from within - most of our Managers started as drivers. It is a stepping stone to advancement into our Management Development Program. Job Description You should possess navigational skills to read a map, locate addresses within designated delivery area and must be able to navigate adverse terrain including multi-story buildings. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Friendly, • Works well with others., • Works well under stress of high paced environment., • Organized, • Efficient in time management., • Ability to multitask, • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.