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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 (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).

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).

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 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).

Senior Director, Applied Research 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 a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. 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 * At least 5 years of people leadership experience Preferred Qualifications [choose applicable 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 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) * 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 * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large language models * 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * 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 * Data Preparation * Numerous Publications studying tokenization, data quality, dataset curation, or labeling * Leading contributions to one or more large open source corpus (1 Trillion + tokens) * Core contributor to open source libraries for data quality, dataset curation, or labeling 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: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director, Applied Research 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).

Placement Type: N/A Salary: $36.89-40.99 Hourly up to $40.99/hr Start Date: May 5, 2026 Join our partner, a global leader in the consumer goods industry, renowned for shaping trends and delivering exceptional experiences worldwide. This is an incredible opportunity to leverage your expertise to significantly impact how customers engage with beloved brands, driving satisfaction and loyalty through innovative educational strategies and seamless digital experiences. As a vital contributor, you will play a pivotal role in shaping the customer journey, influencing how consumers learn about and interact with products both online and in-store. Your work will directly enhance brand connection and foster a positive, memorable experience for countless individuals, contributing to the continued success and evolution of customer engagement strategies on a global scale. What You'll Do: • E-Learning Project and Content Management:, • Lead project management initiatives, specifically within digital e-commerce and e-learning environments., • Cultivate collaborative relationships with diverse vendors to ensure a cohesive and effective learning journey for end-users., • Oversee all brand e-learning content across various platforms, guaranteeing global consistency and widespread adoption., • Educational Content Creation:, • Develop, write, and produce engaging educational content, encompassing product education, experience education, and digital training/upskilling., • Create compelling educational video content, including product knowledge sharing and usage demonstrations., • Stay abreast of the latest customer experience and service trends that influence customer behavior across social channels and in-store environments., • Customer Experience Expertise:, • Apply a deep understanding of customer experience, including drivers of customer behavior, elements of successful in-store and online interactions, brand connection strategies, and how employees can create positive, memorable customer experiences., • Identify and implement in-store and online services that enhance customer satisfaction and retention., • Utilize knowledge of learning design principles to effectively upskill a community., • Global Market Collaboration:, • Engage with global markets to gather feedback on the rollout of service education packages., • Facilitate cross-functional collaboration with internal teams, including marketing, social, communications, and digital specialists., • Reporting:, • Monitor and report on service KPI performance for each market/country. What You'll Bring: • 5+ years of experience in in-store and/or online customer experience., • 3+ years of experience in learning content creation (digital and physical)., • Proven project management experience., • Strong communication skills., • Strong organizational and time management skills. Bonus Points If You Have: • Retail/customer-facing experience., • Writing experience., • Experience with E-Learning software/authoring tools., • Experience in in-person meeting/event planning. About Aquent Talent: Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits! Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

This gig is perfect for those looking for temporary, remote, part-time work. You can do this part-time or full-time. Part-time Research Study Personnel (Pay up to $790/wk.

Uncommon Middle School Science teachers work in grade-level teams to prepare all students with the tools and knowledge to critically engage in the field of science. At the heart of all Science courses is a love for the subject and inquiry-based learning, including a robust focus on student discourse

Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies. Health Issues (Research for cures and new medications to treat ailments). Upon successful completion of the research study your compensation will be issued via

Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Provide early-learning experiences that contribute to children's positive feelings about school, teachers, and their commu

Allied Universal - - Responsibilities: Provide customer service to clients by carrying out security-related procedures, site-specific policies, and/or emergency response activities when appropriate; Respond to incidents and critical situations in a calm, problem-solving manner and report observatio

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

Uncommon Schools teachers are required to become certified in the state of New York within a reasonable period after beginning employment. Uncommon High School Spanish teachers work in grade level and content teams to develop students who are global citizens. Our teachers become experts in their cou

Generous paid time off inclusive of sick time, paid holidays, and 10 weeks of paid breaks (Spring, Winter, and Summer). Starting pay is determined using various factors including but not limited to relevant full-time teaching experience, education certifications, and tenure with Uncommon Schools. Ca

Monitor entrances, common areas, and visitor movement to help to deter unauthorized access, policy violations, and/or disruptive behavior. Respond to incidents, disturbances, and/or critical situations in a calm, problem-solving manner, and report security-related concerns according to site protocol

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

All Uncommon Schools teachers hold primary responsibility for the implementation of Uncommon’s curriculum and the success of our students. Therefore, Uncommon Schools seeks teachers who are committed to becoming best-in-class educators, who are continuously improving instructional practices throug

All Uncommon Schools teachers hold primary responsibility for the implementation of Uncommon’s curriculum and the success of our students. Therefore, Uncommon Schools seeks teachers who are committed to becoming best-in-class educators, who are continuously improving instructional practices throug

At the heart of all math classes is a deep joy for mathematics, and our teachers work hard to refine their own mastery of the subject. Math teachers use a variety of instructional strategies to cultivate the skills and the mindset required to persevere and solve problems. Teacher certification is no

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, a

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

Uncommon Middle School Math teachers work in grade level teams to help students grow towards being self-guided learners. At the heart of all math classes is a deep joy for mathematics, and our teachers work hard to refine their own mastery of the subject. Math teachers use a variety of instructional

Allied Universal - - Responsibilities: Provide customer service to clients by carrying out security-related procedures, site-specific policies, and/or emergency response activities when appropriate.

Allied Universal - - Responsibilities: Provide customer service to clients by carrying out security-related procedures, site-specific policies, and when appropriate, emergency response activities.

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

You’ll teach a curriculum of Robotics that inspires students to be science and technology leaders. Expertise in STEM, Technology, Engineering and/or Robotics (2-3 years of experience preferred). Uncommon Schools North Star Academy is seeking a Robotics Teacher who can teach students to use compute

Atria Senior Living - - Responsibilities: Leads assigned Life Guidance programs and develops service plans. Proactively involves all Life Guidance staff in the planning and implementation of the daily program which includes all activities of daily living.

The teacher will support students with the programming of robotic equipment, as well as with testing the performance of electrical, electronic, mechanical, and integrated systems/equipment. Our teachers prepare all students such that they have the choice to study and excel in any STEM discipline. Ou

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

Uncommon High School Science teachers work collaboratively across the network to prepare all students with the tools and knowledge to critically engage in the field of science and develop them into self-directed learners. At the heart of all Science courses is inquiry-based learning, including a rob

Special Education Specific Responsibilities You'll collaborate with general education teachers, school leaders, and families to analyze and respond to trends in student work samples and assessments and ensure compliance with Individualized Education Plans. Teacher certification is not a prerequisite

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

Allied Universal - - Responsibilities: Provide customer service to clients by carrying out security-related procedures and policies.Respond to incidents and critical situations in a calm, problem-solving manner.Conduct regular and random patrols around the business and perimeter.Assist riders, staf

Allied Universal - - Responsibilities: Provide customer service to clients by carrying out security-related procedures, site-specific policies, and/or appropriate emergency response activities; Respond to incidents and critical situations in a calm, problem-solving manner; Conduct regular and rando

Part-time Research Study Personnel (Pay up to $790/wk.Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies.This gig is perfect for those looking for temporary, remote, part-time work.The hours are flexible and no

This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Instructor in Pediatrics is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science centers is working together with one of the nation's premier health systems, NewYork-Presbyterian Hospital. Key Responsibilities Responsibilities are as follows: • Role of Instructor and 4th year fellow in Motility at the Morgan Stanley Children's Hospital will include outpatient sessions, procedures and inpatient service in rotation (up to 3 weeks per year)., • Supervision and teaching of medical students, residents, clinical fellows, • Participation in weekly clinical and research conferences as schedule permits. This is a one-year position., • Must have a MD or DO degree and an active NYS Medical Licensce, • Must be Board certification in Pediatric Gastroenterology., • Consistently strong interpersonal skills and the ability to build and sustain effective working relationships with professionals in other disciplines., • The ability to create a high-energy results-oriented work environment that encourages colleagues and staff to value each other's contributions, • The ability to share and celebrate success with colleagues and staff. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Opportunity This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Associate Research Scientist with the Division of Cardiology is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science centers. The Department of Pediatrics at Columbia University Irving Medical Center is the top in comparison with other pediatrics department in the NY region in NIH research funding. The primary focus of the Targoff Lab is to investigate the molecular and cellular mechanisms underlying cardiovascular development and regeneration. We accomplish these goals through the use of zebrafish as a model system and expand our studies into the fields of transcriptional regulation, cardiac mechanobiology, and stem cell biology. We utilize an innovative combination of genetic, live-imaging, single cell genomic, and transgenic approaches. We seek an energetic and inquisitive scientist who will work in a highly collaborative environment and who demonstrates critical thinking and academic rigor. Outstanding and exceedingly motivated candidates with backgrounds in developmental biology, genetics, and molecular biology. Key Responsibilities • Perform molecular biological experiments., • Perform confocal imaging., • Perform transcripomic anaylsis., • Carry out fully planned experiments., • Manage animal colonies (zebrafish husbandry) and performing animal work., • Interpretation of data and keeping records of results., • Contribute to the preparation of reports and publications., • Participation in seminars, conferences, lab meetings, and grant writing. Columbia University is an Equal Opportunity/Affirmative Action Employer and Educator. The University is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a diverse environment, and strongly encourages applications from women, minorities, individuals with disabilities, and veterans. Columbia University welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons (e.g. children, caring for disabled or elderly family), or who have achieved excellence in careers outside of academia (e.g., in professional or industry service). The University is responsive to the needs of dual career couples and is committed to supporting the work-life balance of its faculty. We are interested in candidates who have a record of success advising and mentoring individuals from groups underrepresented in higher education and is particularly interested in candidates who have research interests in subjects that will contribute to the understanding of diversity and equal opportunity. • PhD in Epidemiology or Biostatistics or relevant area, • 2-3 years of postdoctoral training required (applicable only for rank of Associate Research Scientist), • Consistently strong interpersonal skills and the ability to build and sustain effective working relationships with professionals in other disciplines., • The ability to create a high-energy results-oriented work environment that encourages colleagues and staff to value each other's contributions. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The School at Columbia University is an independent K-8 school founded in 2003 with the goal of providing an excellent education to a diverse student body. Our intentional school culture embraces shared beliefs across disciplines and grades, which underlie important values expressed through everyday behaviors and visible symbols throughout our community. We dedicate ourselves to fostering in our students, personal resourcefulness and integrity, a sense of social responsibility, and a lifelong appreciation of learning through an innovative, socially and emotionally supportive, and academically challenging program. We adhere to a common code of civility among all constituents. We tailor our instruction so that the needs of the individual students are met. A committed faculty and administration strive to create a school that will stand as a model for what K-8 education can be and serve as a genuine and enduring partnership between Columbia University and its neighbors. Responsibilities: • Teach a class of about 20 students in the context of an integrated curriculum, • Commit to the academic mission of The School, which requires differentiation to meet the needs of a diverse community, • Collaborate in the design and implementation of an integrated curriculum, • Act as an advisor for Middle Division students if needed, • Keep careful anecdotal and assessment records and use them to write accurate, comprehensive student reports, • Work to ensure academic excellence by fully knowing students and adapting curriculum to meet student needs, • Chaperone overnight and/or extended grade-level trips, as applicable, in support of the teaching team, student experience, and the academic and advisory program, • Fulfill all duties, responsibilities, and commitments as outlined in the school's Guidebook and the organization's code of conduct, • Keep careful anecdotal and assessment records to write accurate, comprehensive student reports that reflect student growth and support their future education, • Perform other responsibilities as assigned, • B.A./B.S. degree or an equivalent degree or educational qualification from an accredited college or university, • At least two years of full-time teaching experience in K-8 public, parochial, or independent schools beyond student teaching, • Strong skills in second-language learning and differentiation to accommodate native speakers and second-language learners, • Demonstrated ability to effectively teach Spanish to students who are native speakers as well as second language learners to ensure the needs of all students are met, • Strong verbal and written communication skills in both Spanish and English, • Wide-ranging intellectual and educational interests, • Advanced degree in a related field, • Knowledge of latest research and thinking about world language education, • Familiarity with new technologies Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Professor at the CUMC - Director of Melanoma and Sarcoma Disease The Department of Medicine, Division of Hematology/Oncology at Columbia University Irving Medical Center is seeking applications from highly accomplished physicians for a full-time faculty position at the rank of Assistant, Associate or Professor (non-tenure) to serve as Director of the Melanoma and Sarcoma Disease-Based Team. This key leadership role is part of the Division's continued strategic expansion in hematology and oncology. We are seeking a distinguished physician whose career reflects significant achievement across both academic and industry settings. The ideal candidate will bring a proven record of leadership, clinical excellence, and impactful research in melanoma, sarcoma, and rare cancers. The successful candidate will be expected to expand and elevate both the clinical and translational components of the Melanoma/Sarcoma/Rare Cancer Programs. They will lead efforts to enhance research and scholarly activity within the Division, develop a robust and collaborative research portfolio, and secure external funding to support innovative investigations. This is an exceptional opportunity to shape and grow a high-impact program within one of the nation's leading academic medical centers. M.D. or equivalent medical professional degree is required. Candidate must be board certified or board eligible in Hematology and/ or Oncology and must be eligible to practice in the State of New York. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Classics at Columbia University invites applications for a one-year publication fellowship for the period July 1, 2025 - June 30, 2026 in the Classics and adjacent fields funded by the Stanwood Cockey Lodge Fund. The fellowship is meant to assist an early career scholar towards substantial progress in publication of a monograph in one of these fields. Candidates are asked to provide a CV, cover letter, description of project, and substantially finalized version of sample chapter. The Lodge Fellowship recipient will hold the rank of Postdoctoral Research Scholar or Associate Research Scholar in the Department of Classics and is expected to take full part in the intellectual life of the department. In addition, the fellowship recipient will be expected to give three presentations on their project in the Department of Classics during the course of the academic year 2025-26. The fellowship recipient is expected to reside in the New York area. Upon completion of the project, the fellowship recipient will inform the Lodge Board, and acknowledge the support of the Lodge Fund in all published outputs. $82,000 salary + $1000 research allowance. Applications received by June 20, 2025 will receive full consideration. Queries about this position should be addressed to: John Ma, Professor of Classics, Postdoctoral research scholar appointments provide additional training after a doctoral degree and are normally appointed within one year of receiving their degree in the humanities and social sciences unless they have documented evidence of circumstances such as leaves or substantial career change. Associate research scholars are junior officers whose qualifications and contributions to their fields of research are equivalent to those of an assistant professor. They must hold a doctoral degree or its professional equivalent and perform independent research in the area of their training. PhD Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Opportunity This opportunity to join the Department of Pediatrics at the Vagelos College of Physicians and Surgeons at the rank of Assistant Professor is an exciting one. Columbia University Irving Medical Center, one of the nation's foremost academic health science centers working together with one of the nation's premier health systems, NewYork-Presbyterian Hospital. The Division of Neonatology at CUMC in Morgan Stanley Children's Hospital is seeking a BC/BE neonatologist. This is an academic faculty position with a focus on clinical service and teaching in the NICU and Delivery Room. Excellent neonatology skills are required along with a commitment to teamwork and academic mission. The successful candidate will be appointed at the Assistant Professor level. Competitive salary, benefits, and support are offered commensurate with academic rank and experience. The successful candidate must be eligible to practice in New York State. Key Responsibilities • Responsibilities will include service in our outstanding 75-bed level IV NICU and high-risk delivery service with >5000 deliveries per year., • Participation in weekday service and weekday, weekend and holiday call will be in an amount equal to other full-time clinical faculty. Compensation arrangements are competitive and commensurate with both experience and achievement. Commitment of Diversity Columbia University is an Equal Opportunity/Affirmative Action Employer and Educator. The University is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a diverse environment, and strongly encourages applications from women, minorities, individuals with disabilities, and veterans. Columbia University welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons (e.g. children, caring for disabled or elderly family), or who have achieved excellence in careers outside of academia (e.g., in professional or industry service). The University is responsive to the needs of dual career couples and is committed to supporting the work-life balance of its faculty. We are interested in candidates who have a record of success advising and mentoring individuals from groups underrepresented in higher education and is particularly interested in candidates who have research interests in subjects that will contribute to the understanding of diversity and equal opportunity. • Must have a MD or DO degree and an active NYS Medical License., • Must have Board certification in Neonatology or an equivalent board certification with experience in the NICU with clinical training in pediatrics., • Consistently strong interpersonal skills and the ability to build and sustain effective working relationships with professionals in other disciplines., • The ability to create a high-energy results-oriented work environment that encourages colleagues and staff to value each other's contributions; and Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Middle East Institute at Columbia University invites applications for the Arcapita Visiting Professorship in Modern Arab Studies for the spring 2027 semester. The position may be filled at the rank of Visiting Assistant Professor, Visiting Associate Professor, or Visiting Professor and will be appointed in one of the Humanities or Social Science departments of the Faculty of Arts and Sciences. We are interested in candidates whose field of research and teaching is in history, culture, or social sciences of the modern Arab world. The incumbent will be expected to teach one course, participate in the activities of the Middle East Institute, and give a brown bag lecture and other such public lectures as may be appropriate. Ph.D., record of scholarly publications, and proven teaching experience in English are required by the beginning of the appointment. Experience teaching at a university in the Middle East highly preferred. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Instructor/Assistant/Associate Professor of Medicine at CUIMC - General Nephrology The Division of Nephrology at Columbia University Irving Medical Center is seeking a Clinical Nephrologist at the Instructor, Assistant Professor, or Associate Professor level to contribute to the clinical and educational missions of the division. Responsibilities will include outpatient care in General Nephrology, inpatient consultative services, and outpatient care of the home, peritoneal, and in-center dialysis patients. Teaching responsibilities will include the training of medical students, residents, and fellows. Scholarship in an area of interest is expected. The Columbia renal division is consistently ranked as one of the top nephrology divisions in the country and offers a great environment for career growth and development. Minimum Degree and Qualifications: • M.D. degree or equivalent, from an approved LCME medical school, • Satisfactory completion of an Internal Medicine residency and nephrology fellowship from an ACGME accredited program, • Must be eligible for New York State medical licensure and board eligible or certified in Nephrology by the date of hire Salary Range: Instructor and Assistant Professor Level: $240,000 - $250,000 Associate Professor Level: $250,000-$300,000 Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Accounting Division at Columbia Business School welcomes applications for one or more non-tenure track positions at the assistant, associate, or full professor of professional practice rank, commensurate with experience and qualifications. Candidates are expected to contribute to the School's mission through excellence in teaching, curriculum development, and service. Faculty in this role draw upon substantial professional experience to deliver high-quality instruction in degree programs, develop and update course materials, and contribute to the intellectual and pedagogical life of the School. In addition, candidates are expected to engage in service activities that support the Division, the School, and the broader professional community, and to contribute to institution-building efforts as appropriate. Applicants must have an MBA, PhD/DBA preferred, and should demonstrate a commitment to excellence in teaching and to institution-building contributions that advance the mission of the School. Candidates should have a record of, or demonstrate strong potential for, effective teaching, curriculum development, and service. In addition, candidates are expected to draw upon substantial professional experience to inform their teaching and contributions to the academic community. • Assistant professors of professional practice candidates should have at least three years of business or other applicable experience., • Associate professors of professional practice candidates should have at least eight years of business or other applicable experience., • Professors of professional practice should have at least 12 years of business or other applicable experience. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.