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Applied Researcher 5\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Who is Recruiting from Scratch: \n Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. \n https://www.recruitingfromscratch.com/ \n \n Title of Role: Head of Software Engineering \n Location: Brooklyn, New York (Brooklyn Navy Yard) \n Company Stage of Funding: Seed Stage — $55M Raised \n Office Type: Onsite — 5 Days/Week \n Salary: $237k–$340k base + equity \n Employment Type: Full-Time \n \n Company Description \n Our client is an ambitious, venture-backed deep technology company transforming how new materials are discovered. \n The company is building autonomous laboratories that combine software, automation, hardware, and scientific research to accelerate materials discovery from years or decades to weeks. \n Backed by $55 million in seed funding, the company is scaling its engineering organization and preparing for significant customer deployments. \n The team operates at the intersection of distributed software systems, physical automation, scientific experimentation, and advanced engineering. \n Our client is looking for a Head of Software Engineering to lead its growing software organization while remaining deeply involved in architecture and hands-on development. \n This is a rare opportunity to shape the engineering culture, technical direction, and software foundation of a company building technology with real-world scientific impact. \n \n What You Will Do \n\n • Build, lead, and scale a high-performing software engineering organization.\n, • Hire, develop, mentor, and retain exceptional engineers across core and platform engineering.\n, • Remain hands-on by reviewing code daily and shipping production code every week.\n, • Lead architectural decisions involving complex distributed systems, scalability, reliability, and performance.\n, • Establish engineering processes, including planning, standups, retrospectives, and code review practices.\n, • Develop an engineering culture that prioritizes speed, ownership, collaboration, and high-quality execution.\n, • Partner directly with founders to define the long-term software engineering roadmap.\n, • Translate ambiguous scientific, product, and business requirements into actionable engineering priorities.\n, • Collaborate closely with hardware, science, product, and design teams.\n, • Make pragmatic technical decisions while balancing development speed, correctness, and scalability.\n, • Lead the engineering organization through rapid hiring, architectural evolution, and customer deployments.\n, • Act as a senior technical voice in company leadership discussions.\n\n \n Ideal Candidate Background \n\n • 8–15 years of professional software engineering experience, including several years of senior engineering leadership.\n, • Previous experience leading software engineering teams at a startup.\n, • Demonstrated success personally building an engineering team from fewer than approximately 15 people within the last five years.\n, • Prior people management experience at a Head of Engineering or comparable senior leadership level.\n, • Strong hands-on software engineering experience with Go and/or Python.\n, • Currently writes or ships production code rather than exclusively managing or reviewing engineering work.\n, • Deep understanding of distributed systems, system design, and software architecture.\n, • Experience making technical decisions under ambiguity and operational constraints.\n, • Proven ability to establish engineering processes that improve execution without unnecessary bureaucracy.\n, • Strong communication and cross-functional leadership skills.\n, • Comfortable working closely with founders and multidisciplinary technical teams.\n, • Willing to work onsite in Brooklyn five days per week.\n\n \n Preferred \n\n • Previous Head of Engineering, VP Engineering, Director of Engineering, or equivalent startup leadership experience.\n, • Experience scaling software teams during periods of rapid company growth.\n, • Background in complex distributed systems, infrastructure, or backend platforms.\n, • Experience working in deep technology, robotics, industrial automation, scientific computing, or hardware-integrated software environments.\n, • Strong experience with Go, Python, and production software architecture.\n, • Experience leading teams through demanding customer deployments.\n, • Demonstrated ability to balance technical excellence with rapid product delivery.\n, • Experience collaborating with scientists, hardware engineers, or other highly specialized technical stakeholders.\n\n \n Compensation & Benefits \n\n • Compensation details available through the hiring team.\n, • Relocation assistance of approximately $5,000–$10,000, reimbursed against receipts.\n, • O-1, H-1B transfers, and TN visa support available.\n, • Opportunity to lead a growing software engineering organization.\n, • Direct collaboration with company founders and senior technical leadership.\n, • Significant influence over engineering culture, architecture, and technical strategy.\n, • Hands-on involvement in advanced software and autonomous laboratory technology.\n, • Onsite work environment at the Brooklyn Navy Yard.\n\n This opportunity is ideal for an experienced engineering leader who wants to remain technically hands-on while building a world-class software organization from an early stage.

Applied Researcher 4 (AI Foundations: Recommendation Systems)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description About Bell and Howell Bell and Howell delivers technology-driven Automation Services and Automation Solutions that help businesses optimize performance, reduce downtime, and improve customer experiences. Our Automation Services bring a dedicated team of expert mechatronic service engineers completely covering North America and backed by our Integrated 360™ advanced technology enabling remote repair, diagnostics, automated SmartOps Dispatch™ and 24/7/365 technical assistance for our clients. We provide a comprehensive and certified level of support for thousands of diversified clients. Our Automated Solutions product portfolio consists of next-generation equipment delivering best-in-class performance enhancing workflow efficiency and elevating customer experiences across multiple markets including retail, pharmaceuticals, packaging, mail production, ecommerce and manufacturing – all backed by the best service in the industry. Location: Tristate area from NYC to end of Long Island Pay: 25/hr Saturday and Sunday's Only (first shift) Job Summary: Associate Customer Service Technician serves as primary customer contact on technical and service related problems on a wide range of industrial, robotic and printing equipment. Diagnoses electronic, mechanical, software and system failures, using established procedures provided by our highly rated service training department. This job may include any aspect of field support, including hardware, software, PC's, and wireless networking. Provides technical support to customers on operational or maintenance aspects of system equipment. Determines most cost-effective repair/resolution to minimize customer downtime. Note: This is not an IT role. The position requires hands-on electrical and mechanical troubleshooting with experience using Digital Multi Meter (DMM) and more. Job Responsibilities: • Primary responsibility will be to troubleshoot and repair a variety of industrial products that include, but are not limited to; printing equipment, cash recycling products, mailing and sorting machines, credit card embossing, and processing and any other applicable third-party accessories attached as part of the system., • Schedule and perform regular predictive/preventive maintenance inspections on equipment., • Provide support by managing parts inventory, customer service calls and preventative maintenance schedules., • Foster positive customer relations and a high degree of customer satisfaction by communicating effectively with customers., • Act as a liaison between the customer and other departments/functions of the company., • May need to provide an "on call" level of service up to seven (7) day/week twenty-four (24) hour/day for emergency customer assistance; respond to emergency and non-scheduled calls for service within established response time goals. Supervisory Responsibilities: N/A Competencies (Skills, Knowledge and Abilities): • Requires understanding of computer program functionality and software troubleshooting skills., • Strong interpersonal/customer relation skills., • Ability to effectively resolve conflict internally and externally., • Ability to accomplish the describe duties through appropriate hand, power, and testing tools/equipment., • Ability to reason logically and make sound decisions along with considering alternative and diverse perspectives., • Strong analytical, problem-solving, quantitative, and time management skills., • Ability to communicate effectively both orally and in writing., • Ability to understand, remember and follow verbal and written instructions., • Ability to work as an integral part of a team., • Ability to read and understand written procedures and diagrams for assembly and test., • Ability to develop and implement solutions to assembly problem., • Ability to maintain regular attendance and be punctual. Education and Experience: • High School degree or equivalent., • Degree in electronics, advanced mechanics and/or software training with 1+ year related industry/equipment experience or equivalent combination of education and experience., • Associate degree preferred. Travel: This position requires some travel in the United States and Canada. Physical Requirements: • Ability to use standard and specialized hand, power and diagnostic tools and measuring equipment, such as oscilloscopes, DMM, gauges, etc., • Requires lifting to seventy (70) pounds., • Requires walking and standing; using hands to feel objects; reaching; and requires balance., • Requires stooping, kneeling, crouching and/or crawling., • Ability to work in a loud environment., • Ability to work in small, cramped areas., • Ability to work in elevated environment up to twenty (20) feet., • Work is performed in a controlled office, retail, and manufacturing environment; noise within acceptable safety levels; paper dust prevalent; cleaners and solvents used to clean machines; machines contain moving parts. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The Company is an Equal Opportunity Employer. It is the policy of the Company to administer employment based solely on an individual’s qualifications, ability and performance without regard to race, color, religion, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, age, national origin or ancestry, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, marital status, or any other characteristic protected by federal, state or local law.

Job Description Join a USA Today Top Workplace! Morris Group, Inc., one of the largest machine tool distribution networks in North America, is a third generation, family owned and operated business that serves manufacturers of precision machined parts in the United States. Our mission is to help manufacturers maintain a competitive advantage in the world economy by improving productivity. Summary of Responsibility: A Field Service Technician is a key member of the Customer Support Department and is primarily responsible for the installation, preventive maintenance, solving and repair of Computer Numerically Controlled (CNC) Lathe, Milling and Multi-Functional Machining Centers. We are seeking customer focused professionals who have a positive attitude, a high interest in learning and great Customer service skills. This opportunity is an above average platform for technical advancement and compensation growth. What You Will Contribute: The CNC Field Service Technician must have or be willing to learn through training on the job and classroom an understanding of mechanical drawings, electrical/pneumatic/hydraulic schematics, PLC ladder diagrams and testing equipment required to effectively diagnose and resolve issues with electrical/mechanical components, as well as electro-mechanical and machine control systems. Daily travel from home to Customer facilities with occasional overnight hotel stays required when servicing remote Customer locations within the designated coverage territory or when participating in remote training programs. Demonstrating a willingness to help others and be a team member Install, commission, calibrate, maintain, tackle, diagnose, and repair CNC equipment and accessory CNC equipment at customer facilities. Service calls also include operator training, networking between systems, software applications, preventive maintenance, major assembly replacements and alignments, overhauls/refurbishments, upgrades/retrofits, and un-installation services. Provide a direct communication link between the Customer and the Service Group of the Robert E. Morris Company. Provide voice of Customer feedback. Through service and Customer relationships, build brand dedication. Conduct travel and work in a safe manner, constantly learning new technology and soft skills. Apply machine tool manuals, technical documents, as well as internal and external authorities to optimally diagnose and resolve CNC equipment issues. Effectively understand and use the Salesforce Lightning Customer Support computer system. Qualifications & Competencies: Proficient verbal and written communication and Customer relation skills. Able to interact and effectively communicate in person and over the phone with customer and co-workers. Present a professional image. Must be adaptable to changes and able to deal with change, delays, or general work-related issues. Basic digital literacy and shown understanding of MS Word, Excel, and Outlook. Must have, and/or be willing/capable of being trained to develop, electro-mechanical skills (motors, drives, transformers etc.). Knowledge of machine tool manufacture, installation, operation, maintenance & repair and/or a broad shop background – is a plus. Basic mechanical and logical solving skills are a must. Rational decision making and problem-solving skills. Work Environment Exposure to manufacturing/machining environments which may present possible hazards such as noise, electricity, chemicals, heavy equipment, and other automated or manual machinery. General office and training environment experienced at the Robert E. Morris Company. Other Functions: Perform related duties as required The duties listed above are intended only as illustration of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar or a logical assignment to the position. What’s in it for You: We take great pride in our employees and offer a variety of benefits that allow our employees to be successful inside and outside of work: Competitive starting salary Market competitive comprehensive health benefits including a zero premium medical plan offering, vision, dental, and company paid life insurance 3+ Weeks’ Vacation to Start 10 Company Paid Holidays 401(k) retirement plan with company contribution Tuition reimbursement Employee appreciation events and perks Employee Assistance Program Mental and Physical Requirements: The physical demands and characteristics of the work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Must be highly mobile, able to access all areas of the premises. Ability to concentrate and remain focused while prioritizing multiple tasks, responsibilities, and projects. Ability to sit for prolonged period of times. Able to perform bending, twisting, stooping, reaching, and lifting of moderate to heavyweight material up to 50 lbs. with assistance from equipment or other employees. Ability to frequently use hands and arms. Vision abilities required by the job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Ability to work responsibly and professionally in dynamic job sites that may involve tight timelines, changing priorities, and interaction with customers and team members. Certain positions are designated as safety-sensitive due to the nature of the work performed. Employees in these roles may also be expected to: Ability to stand, walk, bend, kneel, crouch, climb, and reach for extended periods while servicing equipment. Ability to work in tight spaces or awkward positions, including accessing equipment interiors and elevated areas. Strong hand–eye coordination and fine motor skills required for precise electrical, mechanical, and diagnostic work. Ability to work in industrial environments, with exposure to noise, lubricants, coolants, metal chips, and other manufacturing conditions, while consistently wearing required personal protective equipment (PPE). Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Requisition #: 1438B, Brooklyn NY

Job Description Quest International | Field Service Engineer I – New York, New Jersey & Pennsylvania Pay: $20.00–$29.00 per hour, depending on experience and qualifications, plus applicable overtime Employment Type: Full-Time, Temp-to-Hire Location: Field-Based – New York, New Jersey & Pennsylvania Service Territory Travel: Up to 80%, including overnight assignments Start Date: ASAP Build Your Career in Technical Field Service Quest International, Inc. is seeking a Field Service Engineer I to install, maintain, troubleshoot, and repair medical and industrial equipment at customer locations throughout the assigned service territory. You do not need previous biomedical equipment experience to qualify. If you have hands-on experience repairing electronics, industrial equipment, or electro-mechanical systems, we encourage you to apply. We also welcome candidates with relevant military technical training in electronics, avionics, or equipment maintenance. Quest provides equipment-specific technical training to help qualified technicians develop the skills needed to service assigned customer equipment. What You'll Do Install, inspect, maintain, troubleshoot, and repair medical, electronic, and electro-mechanical equipment at customer sites. Perform preventive maintenance, corrective repairs, and functional testing. Diagnose electrical and mechanical failures using digital multimeters, wiring diagrams, schematics, and service manuals. Troubleshoot equipment to the Field Replaceable Unit (FRU), module, assembly, or component level. Identify and repair problems involving wiring harnesses, sensors, power supplies, motors, and sensitive electronic components. Replace defective boards, modules, wiring assemblies, and other serviceable parts. Verify equipment operation according to manufacturer specifications. Maintain accurate electronic work orders, service reports, and repair documentation. Communicate professionally with customers and coordinate with Quest's technical support and dispatch teams. Required Qualifications High school diploma or equivalent. At least one year of relevant hands-on equipment repair, electronics, electrical, electro-mechanical maintenance, or field-service experience. Demonstrated ability to troubleshoot electronic, electrical, or electro-mechanical equipment. Experience using a digital multimeter or comparable diagnostic equipment. Familiarity with schematics, wiring diagrams, service manuals, and technical instructions. Ability to diagnose equipment failures and replace defective components. Basic computer skills, including Windows, Microsoft Office, and electronic service documentation. Strong problem-solving, communication, and customer-service skills. Ability to work independently at customer locations with appropriate technical support. Preferred Qualifications The following experience is helpful but not required: Biomedical equipment repair or medical device service. Industrial electronics, automation, or electro-mechanical maintenance. Optical equipment or electronic instrumentation. Original Equipment Manufacturer (OEM) equipment service. Military electronics, avionics, or electro-mechanical training. Associate degree or technical certificate in electronics or a related field. Experience with frequency counters, vacuum/pressure meters, or other service instruments. Familiarity with command-line tools or PowerShell. Travel and Transportation Requirements This is a field-based position, not a work-from-home position. Must reside within the approved service territory or have confirmed relocation arrangements before employment begins. Must possess a valid driver's license and acceptable driving record. Must have a reliable personal vehicle and appropriate automobile insurance. Must be willing to travel up to 80%, including overnight assignments. Must be available for occasional nonstandard work hours and changing customer schedules. Must be able to perform the essential functions of the position, with or without reasonable accommodation. Must be willing to complete applicable pre-employment requirements, including Quest's required Human Performance Test. Why Join Quest International? $20.00–$29.00 per hour DOE, plus applicable overtime. Equipment-specific technical training. Opportunities to develop skills in medical and industrial equipment service. Professional development and potential career advancement. Hands-on technical work supporting a variety of customer equipment. Employee Benefits Eligible employees may participate in Quest International's benefit programs, which may include: Medical, dental, and vision insurance. Life insurance and accidental death and dismemberment coverage. Short-term and long-term disability insurance. Healthcare and dependent-care flexible spending accounts. Voluntary supplemental insurance programs. All benefits are subject to applicable eligibility requirements, employment classification, plan provisions, enrollment periods, coverage dates, and employee contributions. Benefit eligibility during the temporary-to-hire period depends on the applicable employer's plans. About Quest International For more than 40 years, Quest International, Inc. has provided technical service, equipment repair, maintenance, logistics, and support solutions to healthcare organizations, medical equipment manufacturers, and technology companies. Our Field Service team helps customers maintain reliable equipment through installation, preventive maintenance, troubleshooting, and corrective repairs. Apply Today If you enjoy diagnosing technical problems, repairing equipment, and working independently in the field, we encourage you to apply. Biomedical experience is not required when you have relevant hands-on technical repair experience. Join Quest International and put your technical skills to work. Quest International, Inc. www.questinc.com Quest International is an Equal Opportunity Employer.

Job Description About Bell and Howell Bell and Howell delivers technology-driven Automation Services and Automation Solutions that help businesses optimize performance, reduce downtime, and improve customer experiences. Our Automation Services bring a dedicated team of expert mechatronic service engineers completely covering North America and backed by our Integrated 360™ advanced technology enabling remote repair, diagnostics, automated SmartOps Dispatch™ and 24/7/365 technical assistance for our clients. We provide a comprehensive and certified level of support for thousands of diversified clients. Our Automated Solutions product portfolio consists of next-generation equipment delivering best-in-class performance enhancing workflow efficiency and elevating customer experiences across multiple markets including retail, pharmaceuticals, packaging, mail production, ecommerce and manufacturing – all backed by the best service in the industry. Location: NYC/Brooklyn/Queens & Long Island Areas Hourly Range: 23-30/hr. Summary: The Field Customer Service Engineer serves as primary customer contact on technical and service-related problems on a wide range of industrial, robotic and printing equipment. Diagnoses electronic, mechanical, software and system failures, using established procedures provided by our highly rated service training department. This job may include any aspect of field support, including electrical/electronics, hardware, software, PC’s, and networking. Provides technical support to customers on operational or maintenance aspects of system equipment. Determines most cost-effective repair/resolution to minimize customer downtime. Note: This is not an IT role. The position requires hands-on electrical and mechanical troubleshooting with experience using Digital Multi Meter (DMM) and more. Duties and Responsibilities: • Primary responsibility will be to install, troubleshoot and repair a variety of industrial products that include, but are not limited to; printing and packaging equipment, cash recycling products, inserting and sorting machines, credit card attaching and processing systems, robotics and any other applicable third-party accessories attached as part of the system., • Schedule and perform regular predictive/preventive maintenance inspections on equipment., • Provide support by managing parts inventory, customer service calls and preventative maintenance schedules., • Foster positive customer relations and a high degree of customer satisfaction by communicating effectively with customers., • Act as a liaison between the customer and other departments/functions of the company., • May need to provide an “on call” level of service up to seven (7) day/week twenty-four (24) hour/day for emergency customer assistance; respond to emergency and non-scheduled calls for service within established response time goals. Supervisory Responsibilities: N/A Competencies (Skills, Knowledge and Abilities): • Requires understanding of computer program functionality and software troubleshooting skills., • Strong interpersonal/customer relation skills., • Ability to build and maintain strong customer relationships by understanding their operations and instilling confidence with effective proactive communication., • Ability to effectively resolve conflict internally and externally., • Ability to accomplish the describe duties through appropriate hand, power, and testing tools/equipment., • Ability to reason logically and make sound decisions along with considering alternative and diverse perspectives., • Strong analytical, problem-solving, quantitative, and time management skills., • Ability to communicate effectively both orally and in writing., • Ability to understand, remember and follow verbal and written instructions., • Ability to work as an integral part of a team., • Ability to read and understand written procedures and diagrams for assembly and test., • Ability to develop and implement solutions to assembly problem., • Ability to maintain regular attendance and be punctual. Education and Experience: • High School degree or equivalent with 2-year degree or diploma in electronics/advanced mechanics/software training with 1+ years related industry/equipment experience, or equivalent combination of education and experience., • Requires strong electronics and mechanical background, understanding of computer program functionality and software troubleshooting skills, • Associate degree preferred. Travel: This position requires minimal travel in the United States and Canada for training and other requirements. For field only, local travel time could be greater than 50%. Physical Requirements: • Ability to use standard and specialized hand, power and diagnostic tools and measuring equipment, such as oscilloscopes, DMM, gauges, etc., • Requires lifting to waist seventy (70) pounds., • Requires walking and standing; using hands to feel objects; reaching; and requires balance., • Requires bending, stooping, kneeling, crouching and/or crawling for periods of time., • Ability to work in a loud environment., • Ability to work in small, cramped areas., • Ability to work in elevated environment up to twenty (20) feet., • Work is performed in a controlled office, retail, and manufacturing environment; noise within acceptable safety levels; paper dust prevalent; cleaners and solvents used to clean machines; machines contain moving parts. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Bell and Howell is an Equal Opportunity Employer. It is company policy to administer employment based solely on an individual’s qualifications, ability and performance without regard to race, color, religion, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, age, national origin or ancestry, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, marital status, or any other characteristic protected by federal, state or local law.

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

Job Description At PEARCE, we've got a career for you! Pearce is a leading technology-enabled provider of asset management solutions for mission-critical electromechanical infrastructure throughout North America. Pearce provides technical maintenance, repair, operations, and engineering services for uninterruptible power supply (UPS) systems, backup power generators, battery energy storage systems (BESS), critical cooling systems, and other electrical and mechanical infrastructure across end markets such as renewable energy, telecom, and data centers. Founded in 1998, Pearce has more than 4,000 employees and 28 locations across the U.S. Pearce is a wholly owned subsidiary of CBRE Group, Inc., the world's largest commercial real estate services and investment firm. To learn more about Pearce visit http://www.pearce-services.com. Your Impact The Advanced Solar Field Service Technician (Operations and Maintenance) in the PEARCE Renewables Solar Operations and Maintenance Division performs tasks involving physical labor at solar energy sites near New York, New York. The Solar Field Service Technician is responsible for the operation and maintenance (O&M) of solar power plants in accordance with established preventative and corrective maintenance standards while always maintaining safety and professionalism. These are local sites-candidates should reside within 50 miles of the New York, New York areas. Core Responsibilities • Conduct preventative and corrective maintenance of Solar Utility and Sub-Station equipment., • Responsible for documentation including, but not limited to, work orders, time logs, inventory control, and emergency information schedules., • Provide a working knowledge of troubleshooting electrical components with help and use of digital multi-meters, meggers, amp clamps, and similar equipment., • Testing/troubleshooting installed solar equipment and ensuring proper working order., • Must have a strong safety background with experience in Lock Out Tag Out (LOTO) and Job Hazard Analysis (JHA)., • Able work in a solo as well as a group environment., • Operate and maintain a motor vehicle safely and legally per the PEARCE Renewables Employee Handbook and insurance requirements. Specific duties may vary or evolve over time based on business and client needs. Core Experience • 2+ years' experience in Commercial/Industrial operations and maintenance (O&M) on solar power plants is preferred., • Preventative Maintenance experience on Solar Utility equipment is preferred., • Candidates should possess strong mechanical and electrical experience with troubleshooting and installation skills., • Specific solar experience with Inverters, Tracker Systems, or Sub-Stations Equipment (TMEIC/SMA/Sungrow/Nextracker/ATI, etc.) is preferred., • Takes initiative to escalate issues at site., • Ability to train, mentor, and develop laborers into Apprentices., • High aptitude and a strong work ethic are a must. Physical/Work Environment At Pearce safety is our number one concern. Candidates must be able to comply with OSHA Standards. • Must live within approximately 50 miles of the New York, New York areas., • Be exposed to ambient temperatures while working outdoors., • Lift and move equipment as needed (up to 50 pounds)., • Employment may require working on weekends and holidays, including an "on call" service availability via telephone/text message., • Travel requirements dependent on support of the company (up to 25% travel). Compensation: $35.00-$60.00 hourly/DOE At Pearce, we are committed to fair and transparent pay practices. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to wages, employees may also be eligible for performance and referral bonuses, production incentives, tool/equipment and fuel stipends, company vehicle, per diem or other applicable compensation. We also offer all full-time employees a comprehensive benefits package including health and life insurance, 401k with employer match, paid time off, tuition reimbursement, and professional development courses. This pay range reflects our commitment to pay equity and compliance with state and federal pay transparency laws. If you have questions about compensation, we encourage open discussions during the hiring process. Base Pay Range $35—$60 USD What We Offer Pearce offers a family-friendly and innovative culture with opportunities for growth, competitive compensation, comprehensive health benefits including medical, dental and vision insurance, flexible spending accounts, HSA option. To help you recharge, we have paid vacation and paid holidays. For your future, we offer a company-matching 401(k) Retirement, Life Insurance, Tuition reimbursement, and professional development training. To help you be successful at work, as required for the role, we will provide a company vehicle, phone, laptop, or tablet along with all necessary tools and safety equipment. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Learn more about us at www.Pearce-Services.com!

Job Description At PEARCE, we've got a career for you! Pearce is a leading technology-enabled provider of asset management solutions for mission-critical electromechanical infrastructure throughout North America. Pearce provides technical maintenance, repair, operations, and engineering services for uninterruptible power supply (UPS) systems, backup power generators, battery energy storage systems (BESS), critical cooling systems, and other electrical and mechanical infrastructure across end markets such as renewable energy, telecom, and data centers. Founded in 1998, Pearce has more than 4,000 employees and 28 locations across the U.S. Pearce is a wholly owned subsidiary of CBRE Group, Inc., the world's largest commercial real estate services and investment firm. To learn more about Pearce visit http://www.pearce-services.com. Your Impact The Solar Battery Energy Storage System (BESS) Technician in the PEARCE Renewables Operations and Maintenance (OM) division performs tasks involving operations and maintenance (O&M) and physical labor at commercial and industrial solar energy projects located throughout United States. These are local sites-candidates should reside within 50 miles of the New York, New York areas. Core Responsibilities • Troubleshoot and perform preventive maintenance on Battery Energy Storage System (BESS) equipment., • Perform Lock Out Tag Out (LOTO) of equipment as an authorized person and under properly performed LOTO conditions., • Conduct daily safety and task planning discussions including pre-task planning, Job Hazard Assessments (JHAs), and Risk Assessments (RAs)., • Interact with vendors and customers in a professional manner., • Act as a team member to support site work which could include supervising field work onsite focusing on safety, quality, and efficiency. Specific duties may vary or evolve over time based on business and client needs. Core Experience • 3- 4+ years of electrical proficiency relating to electrical systems and components is required., • 3- 4+ years of Renewable energy experience is preferred., • A commitment to safety and attention to detail with the ability to recognize potential issues and provide safe solutions., • Post-secondary education is preferred., • Electrical certifications are preferred such as OSHA 10, OSHA 30, and NFPA70E., • Excellent written and verbal skills to meet Environmental Health and Safety (EHS) internal and external requirements is required. Physical/Work Environment: At Pearce safety is our number one concern. Candidates must be able to comply with OSHA Standards. • Candidates residing in the New York, New York area preferred., • Candidates must have a valid driver's license for at least a year., • Work possible rotating shifts., • Prolong standing and working in ergonomic challenging positions., • Varied climates based upon locations. Compensation: $35.00-$60.00 hourly/DOE At Pearce, we are committed to fair and transparent pay practices. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to wages, employees may also be eligible for performance and referral bonuses, production incentives, tool/equipment and fuel stipends, company vehicle, per diem or other applicable compensation. We also offer all full-time employees a comprehensive benefits package including health and life insurance, 401k with employer match, paid time off, tuition reimbursement, and professional development courses. This pay range reflects our commitment to pay equity and compliance with state and federal pay transparency laws. If you have questions about compensation, we encourage open discussions during the hiring process. Base Pay Range $35—$60 USD What We Offer Pearce offers a family-friendly and innovative culture with opportunities for growth, competitive compensation, comprehensive health benefits including medical, dental and vision insurance, flexible spending accounts, HSA option. To help you recharge, we have paid vacation and paid holidays. For your future, we offer a company-matching 401(k) Retirement, Life Insurance, Tuition reimbursement, and professional development training. To help you be successful at work, as required for the role, we will provide a company vehicle, phone, laptop, or tablet along with all necessary tools and safety equipment. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Learn more about us at www.Pearce-Services.com!

Job DescriptionAre you the pro others call when the fix matters most? Company: Airlogix Location: Queens, NY | Serving NYC Metro & NJ Segment: Commercial / Industrial HVAC-R Schedule: Full-Time Compensation: $35–$65/hour based on experience + overtime + performance bonus eligibility If you thrive on complex commercial HVAC-R challenges and clear communication, this role is for you. Our clients—hospitals, high-rises, industrial plants, restaurants, and mission-critical spaces—rely on precise answers, not guesswork. Why Technicians Choose Airlogix • Meaningful work that protects client operations and reputations., • A culture that elevates technicians with leadership support, tools, and training., • Real career paths for professionals who own their craft.Your Impact, • Service, troubleshoot, repair, and maintain commercial HVAC and refrigeration systems across NYC Metro and NJ., • Diagnose refrigeration, HVAC, electrical, mechanical, airflow, and controls issues accurately., • Handle rooftop units, split systems, refrigeration systems, exhaust/make-up air, boilers, chillers, and more., • Execute preventive maintenance to cut downtime and extend equipment life., • Communicate findings, options, and next steps to clients, dispatch, and service leadership., • Document work thoroughly; use diagnostics and technology to drive better outcomes., • Follow safety standards, codes, and company procedures in commercial/industrial environments., • Model professionalism, integrity, and clean workmanship on every site., • Share knowledge and support a high-performance team culture.What You Bring, • Commercial HVAC-R service experience (commercial/industrial strongly preferred)., • Proven troubleshooting ability across refrigeration, HVAC, electrical, mechanical, and controls., • EPA Certification required; Universal EPA preferred., • Valid driver’s license; clean, insurable driving record., • OSHA/SST or applicable NYC jobsite safety credentials preferred., • Professional communication skills with clients and teammates., • Ownership mentality, strong work ethic, and pride in your craft., • Values rooted in service, smart solutions, integrity, character, and legacy.Pay, Perks, and Support, • Hourly: $35–$65/hour based on experience, • Overtime opportunities, • Performance bonus eligibility, • Company vehicle / truck support where applicable, • Fuel card, • Tools and technology support, • Health, Dental, Vision insurance, • 401(k) with company match, • Paid time off, • Professional development assistance, • Training and advancement opportunities, • Referral program, • Life insurance, • Employee assistance programWho We Serve From restaurants protecting inventory to industrial lines maintaining production control, your work keeps facilities running smoothly and safely. Airlogix is an Equal Opportunity Employer. Compensation Snapshot Pay: $35.00 - $65.00 per hour Benefits Overview • 401(k), • 401(k) matching, • Dental insurance, • Employee assistance program, • Fuel card, • Health insurance, • Opportunities for advancement, • Paid time off, • Parental leave, • Referral program, • Vision insuranceField-Based Role Work Location: In person This is a field role: the work happens at customer and job sites rather than at a single worksite, and you will be based within driving distance of the job location. Expect day trips to job sites, with most nights at home. Let’s Talk Ready to apply your expertise where uptime, safety, and clarity matter? Join the team built for serious mechanical professionals.

Job Description Join a Team Built for Serious Mechanical Professionals At Airlogix, we are not just looking for another technician to run calls. We are building a team of mechanical professionals who take pride in protecting critical facilities, solving complex HVAC-R problems, and raising the standard for what this trade can be. Our work matters because our clients depend on their systems to keep people safe, comfortable, productive, and operational. Hospitals, commercial buildings, industrial facilities, restaurants, retail spaces, high-rises, and mission-critical environments do not have room for guesswork. When equipment fails, revenue, safety, comfort, and reputation are all on the line. That is why Airlogix is built around one clear purpose: to develop exceptional mechanical professionals while delivering innovative solutions that protect client success. This is a place for technicians who want more than a paycheck. It is for people who want to sharpen their craft, become trusted experts, and build a career their family can be proud of. A Culture That Protects Clients and Elevates Technicians At Airlogix, service means more than fixing equipment. It means protecting the client while elevating the people doing the work. We believe great technicians deserve real support, strong leadership, better tools, and a company that values the intelligence it takes to solve mechanical problems the right way. We are looking for HVAC-R technicians who bring both skill and character to the field. People who know that doing the right thing still matters. People who can diagnose a system carefully, communicate clearly, and leave a client with peace of mind because the work was handled with honor. Our team is built on smart solutions, not shortcuts. Commercial and industrial HVAC-R systems are complex, and the best technicians are part mechanic, part problem-solver, part advisor. Whether you are working on refrigeration, rooftop units, controls, chillers, boilers, split systems, or preventive maintenance, your thinking matters here. We believe success and goodness can coexist. You can make strong money, grow your career, serve clients well, support your family, and still be proud of how you got there. That is the legacy we are building. The Work That Keeps Businesses Running As an HVAC-R Technician with Airlogix, your work will directly support the uptime and performance of commercial and industrial clients across Brooklyn, NYC Metro, and New Jersey. You will be trusted to troubleshoot, maintain, repair, and optimize the systems that keep facilities operating. Your work may impact restaurants protecting food inventory, commercial buildings maintaining tenant comfort, industrial spaces controlling production environments, or critical facilities that cannot afford downtime. This is not low-level residential swap-out work. This is professional commercial HVAC-R service for clients who need dependable answers, clear communication, and technicians who can think through complex mechanical challenges. When you solve the problem correctly, you do more than complete a service ticket. You protect a client’s operation, strengthen Airlogix’s reputation, and build your own name in the trade. Growth, Rewards, and Career Value Airlogix is committed to developing exceptional mechanical professionals. That means we want technicians who are hungry to learn, willing to share knowledge, and serious about getting better. The compensation reflects the level of skill this role requires: $35–$65/hour based on experience, with overtime opportunities and performance bonus eligibility. Strong technicians who bring commercial HVAC-R capability, professionalism, and accountability will have room to grow. We believe in building prosperity the right way. That means steady work, meaningful earning potential, professional development, and a company culture where your effort is seen. If you want to stay average, this may not be the right place. If you want to become sharper, more trusted, more valuable, and more respected in the HVAC-R trade, Airlogix is built for that kind of technician. What You’ll Do • Service, troubleshoot, repair, and maintain commercial HVAC and refrigeration systems across NYC Metro and NJ., • Diagnose mechanical, electrical, refrigeration, airflow, and controls-related issues with accuracy and professionalism., • Work on equipment such as rooftop units, split systems, refrigeration systems, exhaust systems, make-up air units, boilers, chillers, and related commercial mechanical systems., • Perform preventive maintenance that helps clients reduce downtime, improve efficiency, and extend equipment life., • Communicate clearly with clients, dispatch, service leadership, and team members about findings, repairs, recommendations, and next steps., • Represent Airlogix with professionalism, integrity, clean workmanship, and respect on every jobsite., • Use technology, diagnostics, and service documentation to support smarter solutions and better client outcomes., • Support team growth by sharing knowledge, asking good questions, and contributing to a culture of excellence., • Follow safety standards, code requirements, and company procedures while working in commercial and industrial environments. What You Need to Succeed • Strong commercial HVAC-R service experience, preferably in commercial and/or industrial environments., • Ability to troubleshoot refrigeration, HVAC, electrical, mechanical, and controls issues., • EPA Certification required; Universal EPA strongly preferred., • Valid driver’s license and clean, insurable driving record., • OSHA/SST or applicable NYC jobsite safety credentials preferred., • Professional communication skills with clients, team members, and leadership., • Pride in your craft, strong work ethic, and the ability to take ownership of your calls., • A mindset built around service, smart solutions, integrity, character, and legacy. Benefits & Support • Competitive hourly pay: $35–$65/hour based on experience, • Overtime opportunities, • Performance bonus eligibility, • Company vehicle / truck support where applicable, • Fuel card, • Tools and technology support, • Health insurance, • Dental insurance, • Vision insurance, • 401(k) with company match, • Paid time off, • Professional development assistance, • Training and advancement opportunities, • Referral program, • Life insurance, • Employee assistance program Ready to Build Something Bigger? If you are an HVAC-R technician who wants to do meaningful commercial work, earn strong pay, grow your skillset, and build a career with a company that values both performance and character, Airlogix wants to talk. Apply today and bring your craft to a team built on service, solutions, integrity, character, and legacy. Airlogix is an Equal Opportunity Employer. Benefits: • 401(k), • 401(k) matching, • Dental insurance, • Employee assistance program, • Fuel card, • Health insurance, • Opportunities for advancement, • Paid time off, • Parental leave, • Referral program, • Vision insurance Work Location: In person Powered by JazzHR sWEhyTqZjP

Applied Researcher 4 (AI Safety & Multimodal)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • Experience with red teaming and deploying safety guardrails for multimodal systems, including VLMs, MLLMs, and MM-RAG architectures\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n\n • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience in AI Safety, LLM safety alignment, Guardrail development\n, • Safety and vulnerability assessment of Multi-modal application using image/video plus text modality\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations, LLM Customization and Finetuning)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Data Preparation\n \n, • Publications studying tokenization, data quality, dataset curation, or labeling \n, • Contribution to a major open source corpus \n, • Contribution to open source libraries for data quality, dataset curation, or labeling\n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 5 (AI Foundations - LLM, Optimization and Finetuning)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview:\n\n\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. About This role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Weekend Shift Schedule: Wednesday – Sunday, or Saturday – Wednesday (5-day work week, includes weekend coverage). On-site required for weekday shifts. Compensation reflects a 10% increase for this schedule. Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Incident Management: Primary point of contact for incident management, focusing on initial triage, communication, and procedural rigor throughout the incident lifecycle. You'll lead response efforts, ensuring clear communication with both technical and non-technical stakeholders and acting as a customer advocate to minimize disruption. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator. Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $135,000 - $165,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 2+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 2+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. Bonus Points: Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $145,000 - $170,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Key Responsibilities: • Help Desk Support: Assist with initial triage, troubleshooting, and resolution of hardware, software, and network issues for local and remote employees., • Device Management: Help configure, deploy, and maintain company laptops, workstations, printers, etc., • Software & Account Setup: Assist with user onboarding and offboarding, including setting up accounts in Microsoft 365, Google Workspace, Active Directory, or other internal tools., • Documentation: Create and update internal IT guides, FAQs, and troubleshooting documentation for employees., • Inventory Tracking: Maintain an accurate inventory of hardware, software licenses, and peripheral equipment., • Project Assistance: Provide support on upcoming IT infrastructure projects (e.g., system migrations, network upgrades, or security audits).Ideal Experience & Skillsets:, • Education: Currently pursuing or recently completed a degree/certification in Computer Science, Information Technology, Cybersecurity, or a related field., • Technical Knowledge: Basic understanding of desktop operating systems (Windows 10/11, macOS) and core networking concepts (IP addressing, Wi-Fi troubleshooting, DNS)., • Problem-Solving Skills: A logical approach to troubleshooting and a strong desire to figure out how things work., • Communication: Excellent verbal and written communication skills; ability to explain technical fixes to non-technical users in a friendly, patient manner., • Reliability: Ability to handle sensitive company data with discretion and maintain confidentiality.Company Benefits:, • Salary range $24/hour - $29/hourRequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Ability to work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, high voltage, high current, pressure systems, and cryogenics. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n • \n Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms \n • \n Has a deep understanding of the foundations of AI methodologies \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes \n • \n Experience in delivering libraries, platform level code or solution level code to existing products \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n • \n Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionAbout US: Tryfacta is a leading, nationally renowned Workforce Management Solution provider for private &public sector firms across the US. We specialize in Healthcare, IT, Business Support, and Professional & Craft/Light Industrial ecosystems. Founded in March 1996, we have a presence in all 50 States. Tryfacta has Ranked number 1 as one of the fastest-growing companies by Inc. Magazine (Inc. 5000)! Tryfacta is certified by the Joint Commission for Healthcare Staffing Services & has numerous ISO Certifications that capture our commitment to continuous improvement. Job Summary: Tryfacta is seeking a Computer Support Specialist for our client in One State Street, New York, NY 10004 This is a temporary contract assignment. If you meet the qualifications listed below and are interested, please Apply Now! Job Diva ID: 26-05710 Position Title: Computer Support Specialist Location: One State Street, New York, NY 10004 Duration: 24 months Work Schedule: M-F 37.5 hrs per week, 9am-5pm Responsibilities for this position include, but are not limited to: Minimum Candidate Qualifications: The candidate must have a minimum of: a. Two years of experience in Information Technology and Customer Service b. Proof of eligibility to work in NYS. c. An Associates or Bachelor's Degree in computer science, information systems, management systems, information technology, or cybersecurity. 1. Job Description and Required Services: Duties include, but are not limited to, the following: • Providing technical assistance to users via phone, email, chat, or in-person., • Actively monitoring and working on tickets submitted in the JIRA ticketing system., • Installing, setting up, and configuring new hardware, software, and peripherals., • Diagnosing and resolving hardware, software, and network issues for end-users., • Documenting technical problems, resolutions, and user guides for future reference., • Other duties as assigned. In addition, the candidate must possess the following abilities: • Technical Expertise: Knowledge of computer hardware, software, operating systems, and networks., • Problem-Solving: Good analytical and logical reasoning skills to identify root causes of problems., • Communication: Excellent verbal and written communication skills to explain complex technical concepts to non-technical users., • Customer Service: Patience, empathy, and a focus on customer satisfaction., • Organizational Skills: Ability to manage tasks, prioritize requests, and maintain detailed records., • Adaptability: Ability to work under pressure and in a fast-paced environment. Tryfacta is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Job DescriptionMaintenance Electrician / Industrial Maintenance Technician Join a growing manufacturer that values safety, innovation, and continuous improvement. This is an opportunity to work with advanced automated equipment while building your technical skills in a collaborative, team-focused environment. Job Duties & Responsibilities -Troubleshoot, repair, and perform preventive maintenance on electrical, mechanical, hydraulic, pneumatic, PLC, and automated production equipment to maximize equipment uptime. -Install, maintain, and repair industrial electrical systems including motors, controls, switchgear, transformers, drives, HMIs, robotic systems, and building electrical infrastructure. -Read and interpret electrical schematics, blueprints, hydraulic diagrams, and technical manuals to diagnose and resolve equipment issues. -Complete maintenance documentation, support equipment changeovers, follow GMP and safety standards, and identify opportunities for continuous improvement. Required Skills & Experience -Minimum of 5 years of industrial maintenance experience in a manufacturing environment with strong electrical troubleshooting skills on 240V and 480V systems. -Proven experience troubleshooting PLCs, automation systems, HMIs, drives, and industrial controls. PLC troubleshooting and automation experience are required. -Ability to troubleshoot hydraulic, pneumatic, mechanical, and electrical equipment while reading electrical schematics and technical drawings. -High School Diploma or equivalent with technical training in industrial maintenance or electrical systems. Must be willing to train on 1st shift before transitioning to either 2nd Shift (3:00 PM-11:30 PM) or 3rd Shift (11:00 PM-7:30 AM). Preferred Skills & Experience -Associate's degree in Electrical Technology, Industrial Maintenance, Mechatronics, or a related technical field. -Experience with robotic systems, servo drives, CMMS/EAM software, food manufacturing, or GMP environments. Pay Rate Range 35.00 per hour + Apply today to join a company that invests in employee development while offering the opportunity to work on advanced manufacturing equipment in a safety-first environment. Disclaimer: By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Synerfac Technical Staffing and our contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undeliverable messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at www.synerfac.com/privacy/ DJ Miljkovic dmiljkovic@synerfac.com 732-271-9333 Synerfac Technical Staffing

Applied Researcher 5 (AI Foundations)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview:\n\n\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description *Applicants MUST submit a cover letter with resume to be considered. *This position will require in-office presence. Hybrid work schedules may be possible based on specific job duties and consistent with ESD policy. *Minorities, women, and individuals with disabilities are encouraged to apply. Please contact Human Resources if you require accommodation. BASIC FUNCTION: Support the Executive Director of the Division of Science, Technology and Innovation (NYSTAR) within Empire State Development’s (ESD) Division of Small Business and Technology Development, to identify, develop, and oversee programs and strategies to strengthen NY’s Quantum and AI innovation and R&D ecosystems. This will include oversight of the state’s Quantum Hubs initiative, maintaining a comprehensive view of NY’s quantum ecosystem and statewide strategy, and identifying federal investment and industry partnership opportunities. It will also involve engagement with Empire AI and state initiatives around Artificial Intelligence. This will require developing a deep understanding of the existing ESD and NYSTAR ecosystem and the ability to bring strategic partners to the table across industry, academia, and government. WORK PERFORMED: • Support the NYSTAR Executive Director in structuring and implementing initiatives to stimulate NY State’s innovation and commercialization pipeline in the AI and Quantum sectors, across Quantum Computing, Communications/Networking, Cryptography, and Sensing, • Manage the state’s Quantum Hubs initiative, including strategic coordination, program management, impact tracking, and development of plans and proposals for expansion and growth, • Develop deep understanding of NYSTAR’s innovation ecosystem, specifically the Quantum and AI-relevant cross sections, along with other strategic assets across the state including NY CREATES, the SMART i-Corridor Tech Hub, Empire AI, and existing investments in critical supporting fields such as advanced materials, optics and photonics, and semiconductors, • Develop strategic relationships with industrial partners and companies, public and private universities, fostering collaboration across them towards ESD priority areas, • Stay abreast of federal opportunities in the Quantum and AI sectors, identifying opportunities for NYS agencies, universities, and companies to pursue and helping to convene and coordinate proposals, • Ensure effective coordination and integration of activities between ESD staff, Executive Chamber, agency specialists and other public and private stakeholders and organizations, • Contribute to the development of internal and external communications and collateral promoting the NYSTAR network and NYS Quantum ecosystem and with required annual reports, • Oversee and undertake special projects or initiatives as needed, • Travel up to 25%, primarily within New York State MINIMUM REQUIREMENTS: Education level required: Bachelor’s degree, advanced degree preferred. Experience required: 5+ years of relevant experience, preferably in leadership capacities; experience building strategies and planning execution and in the innovation space; multidisciplinary background preferred. 2+ years of experience in Quantum, AI, Semiconductor or directly adjacent fields. Knowledge Required: Excellent verbal and writing skills; knowledge of Microsoft Office, Google Workspace, and AI tools; strong understanding of technology and innovation sectors, not for profit supporting technology acceleration, academia especially research commercialization, and relevant governmental grant writing, policy, and/or administration experience (local, state, and federal.)

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech. \n \n Come join one of our quickly growing portfolio companies, Home | CREW Carbon! \n \n CREW Carbon Overview \n \n CREW’s technology and services make wastewater treatment cheaper and more efficient, while permanently sequestering CO₂. \n \n Leveraging advanced chemistry, natural minerals, and AI, we’ve developed and are deploying a category-defining process intensification technology, with decarbonization at its core. Today, we help wastewater treatment facilities and operators: \n \n\n • Stabilize pH & alkalinity 24/7\n, • Eliminate hazardous chemicals & cut costs\n, • Avoid $100M+ infrastructure upgrades\n, • Capture & Store CO2\n\n \n We are currently deploying this technology across the US and Europe. In addition, we’ve signed $30M+ in carbon removal offtake agreements with leading corporations looking to meet their climate goals, supercharging geographical CREW’s expansion. \n \n CREW has offices and labs in New Haven, CT and offices in Brooklyn, NY. \n \n We are funded by Counteract, ReGen, Ponderosa, Connecticut Innovations and others. We've secured large contracts with the premier buyers of carbon credits through the Frontier Climate Fund (Stripe, Shopify, Autodesk, McKinsey, among others) and have been selected by the Department of Energy as one of the few potential suppliers of high-quality carbon credits to the federal government. \n \n About The Role \n \n We're looking for a Talent & People Lead to own and help build the People function at CREW Carbon. \n \n This is a unique opportunity for someone with a strong foundation in Talent who is excited to expand into broader People Operations and HR leadership. You'll own our recruiting efforts, support the employee experience, and help build the people processes, programs, and infrastructure needed as we scale. \n \n You'll report directly to the CEO and partner closely with a fractional Head of People for strategic guidance and support. While this is an individual contributor role, you'll have meaningful autonomy and ownership across the entire employee lifecycle. \n \n This role is ideal for someone who has helped scale an early-stage startup and is ready to take the next step toward owning a People function. \n \n This is an in-office position based in our NewLab office in Brooklyn, 5 days per week. \n \n What You'll Own \n \n\n • Own full-cycle recruiting across technical, scientific, operational, and business functions, from intake through offer acceptance.\n, • Own day-to-day People Operations across the employee lifecycle, including onboarding, employee changes, and offboarding.\n, • Partner directly with the CEO and hiring managers to define hiring needs, develop recruiting strategies, and prioritize open roles.\n, • Manage candidate experience, interview processes, assessments, and offer coordination.\n, • Serve as the primary point of contact for employee questions related to policies, benefits, and People processes.\n, • Support performance management, employee feedback, engagement surveys, and professional development initiatives.\n, • Partner with leadership and the fractional Head of People on employee relations matters, policy development, and HR compliance.\n, • Help foster a strong company culture through thoughtful employee programs, communications, and team initiatives.\n, • Build, document, and improve scalable People processes, policies, and systems appropriate for an early-stage company.\n, • Identify gaps in our existing People infrastructure and independently drive practical improvements.\n, • Maintain accurate employee data and provide reporting and insights to support leadership decisions.\n\n \n What You'll Bring \n \n\n • 4+ years of experience in Talent Acquisition, People Operations, or a combination of these functions.\n, • Startup experience is essential. You've worked in an early-stage, fast-paced environment where priorities shift, resources are limited, and individuals wear multiple hats.\n, • Full-cycle recruiting experience, including sourcing, interviewing, candidate management, and partnering with hiring managers.\n, • Experience working directly with founders, executives, or senior leaders on People and Talent challenges\n, • Exposure to broader HR responsibilities, including compensation, benefits, employee relations, onboarding, or performance management.\n, • Experience building or improving recruiting and People processes, systems, or programs in a growing organization.\n, • Strong organizational and project management skills, with the ability to independently manage multiple priorities.\n, • Excellent communication skills, sound judgment, and the ability to build trust across all levels of an organization.\n, • A self-starter mentality with a willingness to take ownership, solve problems, and execute without extensive direction.\n, • Comfort operating in ambiguity and moving between strategic conversations and hands-on administrative work.\n\n \n Nice to Have \n \n\n • Experience as an early Talent or People hire at a Seed, Series A, or Series B startup.\n, • Experience recruiting technical, engineering, scientific, or other specialized roles.\n, • Experience in climate tech, hard tech, industrial technology, or other technically complex industries.\n, • Familiarity with HRIS and ATS platforms, such as Ashby, Greenhouse, Rippling, or Sequoia.\n, • Experience supporting compensation benchmarking, benefits administration, or employee relations.\n, • Experience implementing new People programs or infrastructure from scratch.\n\n \n Compensation \n \n Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of the total compensation and benefits package. Other benefits for eligible employees may include: equity through the form of option grants, flexible paid time off, 401(k) plan, well equipped office environment, and health benefits offerings. \n \n The expected base salary range for this role is $100,000 – $125,000. This range represents the company’s estimate for this position at the time of posting however actual compensation may vary based on skills, experience, location, role scope, and business needs. \n \n CREW Highlights \n \n\n • Raised $25M of funding in January 2026\n, • Deployed at nearly 10 wastewater treatment facilities across the US and Europe, including leading utilities like HRSD (Hampton Roads Sanitation District)\n, • Delivered measurable performance improvements at wastewater treatment facilities, with one utility considering deferring $400 million in planned capital upgrades\n, • Secured $33+ million in carbon removal offtake agreements with Frontier Climate Fund in 2024\n, • Captured 2,000+ tons of CO2 faster and more cost effectively than other carbon removal credit suppliers\n, • Won a $2.3 million award from the Colorado Energy Office as part of the state’s Clean Air Program in February 2026\n, • Selected as 1 of 24 companies by the US Department of Energy in 2024 to be a potential supplier of high-quality carbon credits to the federal government\n, • Developed proprietary measurement, reporting, and verification (MRV) capabilities that enable high-confidence carbon removal quantification\n\n \n CREW Carbon is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We have strict wage minimums, generous benefits, and personal leave policies. Our goal is to provide safe, rewarding, and empowering work environments for all who interact with our company.

We're looking for a Talent & People Lead to own and help build the People function at CREW Carbon. \n \n This is a unique opportunity for someone with a strong foundation in Talent who is excited to expand into broader People Operations and HR leadership. You'll own our recruiting efforts, support the employee experience, and help build the people processes, programs, and infrastructure needed as we scale. \n \n You'll report directly to the CEO and partner closely with a fractional Head of People for strategic guidance and support. While this is an individual contributor role, you'll have meaningful autonomy and ownership across the entire employee lifecycle. \n \n This role is ideal for someone who has helped scale an early-stage startup and is ready to take the next step toward owning a People function. \n \n This is an in-office position based in our NewLab office in Brooklyn, 5 days per week. \n \n What You'll Own \n\n • Own full-cycle recruiting across technical, scientific, operational, and business functions, from intake through offer acceptance.\n, • Own day-to-day People Operations across the employee lifecycle, including onboarding, employee changes, and offboarding.\n, • Partner directly with the CEO and hiring managers to define hiring needs, develop recruiting strategies, and prioritize open roles.\n, • Manage candidate experience, interview processes, assessments, and offer coordination.\n, • Serve as the primary point of contact for employee questions related to policies, benefits, and People processes.\n, • Support performance management, employee feedback, engagement surveys, and professional development initiatives.\n, • Partner with leadership and the fractional Head of People on employee relations matters, policy development, and HR compliance.\n, • Help foster a strong company culture through thoughtful employee programs, communications, and team initiatives.\n, • Build, document, and improve scalable People processes, policies, and systems appropriate for an early-stage company.\n, • Identify gaps in our existing People infrastructure and independently drive practical improvements.\n, • Maintain accurate employee data and provide reporting and insights to support leadership decisions.\n\n \n What You'll Bring \n\n • 4+ years of experience in Talent Acquisition, People Operations, or a combination of these functions.\n, • Startup experience is essential. You've worked in an early-stage, fast-paced environment where priorities shift, resources are limited, and individuals wear multiple hats.\n, • Full-cycle recruiting experience, including sourcing, interviewing, candidate management, and partnering with hiring managers.\n, • Experience working directly with founders, executives, or senior leaders on People and Talent challenges\n, • Exposure to broader HR responsibilities, including compensation, benefits, employee relations, onboarding, or performance management.\n, • Experience building or improving recruiting and People processes, systems, or programs in a growing organization.\n, • Strong organizational and project management skills, with the ability to independently manage multiple priorities.\n, • Excellent communication skills, sound judgment, and the ability to build trust across all levels of an organization.\n, • A self-starter mentality with a willingness to take ownership, solve problems, and execute without extensive direction.\n, • Comfort operating in ambiguity and moving between strategic conversations and hands-on administrative work.\n\n \n Nice to Have \n\n • Experience as an early Talent or People hire at a Seed, Series A, or Series B startup.\n, • Experience recruiting technical, engineering, scientific, or other specialized roles.\n, • Experience in climate tech, hard tech, industrial technology, or other technically complex industries.\n, • Familiarity with HRIS and ATS platforms, such as Ashby, Greenhouse, Rippling, or Sequoia.\n, • Experience supporting compensation benchmarking, benefits administration, or employee relations.\n, • Experience implementing new People programs or infrastructure from scratch.\n\n

Job Description At Valcor Engineering Corporation, we design and manufacture advanced fluid control components and systems for the aerospace, nuclear, and scientific industries. Our team is dedicated to innovation, precision, and quality—values that have made us a trusted name for over 70 years. Join a company that’s shaping the future of aerospace technology, one part at a time. Position Summary: We are currently seeking an experienced Deburrer to join our manufacturing team. In this role, you’ll play a critical part in the final preparation of precision aerospace components by removing imperfections and ensuring all parts meet rigorous quality standards. Under general supervision working from blueprints, sketches, verbal and/or written specifications, operates and adjusts manual or numerically controlled machine tools to perform standard and repetitive sequence of operations. Additional job duties are as follows: • Sets up manual machines where speeds, feeds and sequences of tooling operations are ordinarily prescribed, • Operates numerically controlled machines where programs are approved and setups are made and maintained by others., • Removes burrs and rough edges from machine component parts using a variety of hand operations, such as; filing, deburring and performing polishing operations., • Removes scratches, burrs and tool marks from parts, using microscope or magnifier., • Uses standard shop measuring devices., • Sharpens drill tools on grinding wheel as necessary., • Operates automatic welding equipment., • Moves parts and materials to and from work area., • Maintains good housekeeping in work area., • Perform other duties as directed by supervision. Qualifications • Minimum 4 years of experience in a general machine shop environment, • Skilled in deburring and hand-finishing aerospace or high-precision components, • Familiarity with using microscopes or magnifying equipment for detailed work, • Able to read and interpret blueprints and technical drawings, • Experience operating manual shop tools and measuring devices, • Strong eye for detail and commitment to quality, • Dependable, safety-conscious, and team-oriented Salary Range:$29.56 To $33.62 Hourly Why Join Valcor? ✅ Competitive pay & benefits package ✅ Work with cutting-edge aerospace technology ✅ Collaborative, clean, and safety-first work environment ✅ Long-standing company with stability and growth opportunities ✅ Convenient location: 2 Lawrence Road, Springfield, NJ 07081 Job location is at 2 Lawrence Road, Springfield, NJ 07081 Please note: The salary range is based on our market pay structure. However, individual salaries are determined by a variety of factors including, but not limited to, business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At Valcor Engineering, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 30+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; long term disability coverage; and life and accident insurance. We also have an employee assistance program. Our leave programs include Vacation and PTO time off, paid holidays, as well as other types such as bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. All qualified applicants will be considered for employment without regard to these characteristics. Visit Valcor.com to view additional openings, including CNC Machinists, Model Shop Machinists, Deburrers, CNC Programmers, and other skilled manufacturing positions. Join a team where precision, innovation, and quality drive success. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. \nCompany Description Valcor Engineering is one of the largest and most recognized suppliers of fluid control products in the aircraft, aerospace and military fields. We specialize in the design and manufacture of Solenoid Valves and control components for liquids and gases in critical application in the aerospace, nuclear, light industrial and scientific industries. Valcor Engineering is one of the largest and most recognized suppliers of fluid control products in the aircraft, aerospace and military fields. We specialize in the design and manufacture of Solenoid Valves and control components for liquids and gases in critical application in the aerospace, nuclear, light industrial and scientific industries.

Senior Mechanical Engineer US-NJ-Edison Job ID: 2026-3254 of Openings: 1 Category: MEP LiRo-Hill Overview We have an immediate need for a Sr. Mechanical Engineer for our Edison, NJ location. Come join our team! We are looking to build services and capabilities through the growth of our key asset- our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Edison, NJ. Responsibilities In this role, you will lead the design and development of HVAC systems for commercial, industrial, municipal, and healthcare facilities. Additional responsibilities will include: • Lead the design and development of HVAC systems for commercial, industrial, municipal and healthcare facilities., • Perform load calculations, energy modeling, and system sizing using industry-standard software., • Prepare detailed mechanical drawings, specifications, details and controls diagrams., • Coordinate with multidisciplinary teams including architects, structural engineers, and other stakeholders., • Conduct site visits, field inspections, and construction administration including review of shop drawings, RFIs etc., • Mentor junior engineers and provide technical guidance., • Perform QA/QC reviews of projects to ensure high standards of quality are maintained., • Ensure compliance with local codes, standards and client requirements., • Interface with clients, attend project meetings, and present technical solutions., • Participate in project sales proposals and interviews., • Conduct site assessments and generate comprehensive technical reports. Qualifications • Bachelor’s degree in Mechanical Engineering, • Professional Engineer (PE) license required, • Minimum of 10 years of relevant experience in HVAC design, • Proficiency in AutoCAD, Revit, Microsoft Excel, Word, Teams and HVAC design software (e.g., Trane Trace, HAP), • Strong knowledge of mechanical codes, energy efficiency standards, and sustainable design practices, • Excellent leadership, mentoring and project management skills, • Strong technical writing and communication skills, • Certifications or Licenses (if required): PE License, NY, NJ We are committed to your success, and we invest in your growth and development to unlock your full potential. • Competitive Total Compensation Package, • Employee- Only Stock Purchase Plan, • Mentoring programs, • Continuing Education Program, • Employee referral bonus, • Volunteer/Industry association opportunities Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment -Compensation: Minimum: $150,000: $170,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location. • The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 Compensation details: 150000-170000 Yearly Salary PI34ee6458bb1b-38003-39462574

Applied Researcher 4 (AI Foundations)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Refrigerant Leak Specialist – Commercial Refrigeration Company: Leak Logics Location: Albany, NY (Travel throughout the Capital Region and surrounding areas) Compensation & Benefits Salary: $50,000–$90,000 annually, based on experience Health Insurance Medical, Dental, and Vision Coverage 401(k) Retirement Plan Paid Time Off and Holidays Paid Training and Certification Opportunities Company Vehicle (where applicable) Company-Provided Tools, Equipment, and Uniforms Position Overview Leak Logics is seeking a Refrigerant Leak Specialist to perform advanced leak detection services on commercial refrigeration systems. This role is dedicated to identifying refrigerant leaks in supermarkets, cold storage facilities, food processing plants, convenience stores, restaurants, warehouses, and other commercial and industrial facilities. The ideal candidate has a strong understanding of commercial refrigeration systems, refrigerant circuits, and leak detection techniques. You will work independently at customer sites, using specialized diagnostic equipment to accurately locate leaks, document findings, and provide customers with detailed reports to support repair decisions. Key Responsibilities Inspect commercial refrigeration systems for refrigerant leaks. Perform leak detection on rack refrigeration systems, walk-in coolers and freezers, display cases, condensers, evaporators, compressors, piping, and associated components. Utilize electronic refrigerant leak detectors, ultrasonic leak detection equipment, nitrogen pressure testing, trace gas testing, bubble solution, and thermal diagnostic tools. Accurately identify and document leak locations with photos and detailed service reports. Recommend repair priorities based on leak severity and system condition. Ensure compliance with EPA Section 608 regulations and environmental best practices. Maintain accurate electronic service records and customer documentation. Safely operate company vehicles and maintain leak detection equipment. Travel throughout the assigned territory to support commercial customers. Qualifications Experience with commercial refrigeration or commercial HVAC/R systems preferred. EPA Section 608 Universal Certification required or ability to obtain shortly after hire. Knowledge of refrigeration cycles, controls, compressors, condensers, evaporators, and refrigerant piping. Strong troubleshooting and mechanical aptitude. Ability to read refrigeration schematics and mechanical drawings. Excellent communication and customer service skills. Valid driver's license with a clean driving record. Ability to lift up to 50 pounds and work on rooftops, in mechanical rooms, and in refrigerated environments. Preferred Experience Supermarket rack refrigeration systems. CO2, HFC, HFO, or ammonia refrigeration systems. Refrigerant compliance and leak documentation. Emerson, Hussmann, Hillphoenix, Zero Zone, or similar commercial refrigeration equipment. Digital service reporting and mobile field service applications. Why Join Leak Logics? Leak Logics specializes in refrigerant leak detection for commercial refrigeration systems using advanced diagnostic technology and industry best practices. Our specialists focus on helping customers reduce refrigerant loss, improve system reliability, maintain regulatory compliance, and lower operating costs. We offer competitive pay, comprehensive benefits, ongoing technical training, and opportunities for career growth in a specialized and high-demand field.

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. We are seeking a Music and Fine Arts Teacher with experience as an elementary-intermediate level Teacher (grade levels 3-8) to join the Saudi Aramco Expatriate Schools (SAES). SAES strives to be a preeminent school system where students achieve their maximum potential in a culture of continuous improvement. In support of this vision, SAES is seeking highly qualified, accomplished, passionate, and collaborative educators who love to work with children, aspire to learn and grow, and eager to embark on a life-changing opportunity. As the successful candidate you will be required to perform the following: • You will work collaboratively to plan, organize, implement, and evaluate daily classroom instruction that ensures the success of a diverse population of learners., • You will be responsible for nurturing positive professional relationships and for working collaboratively with students, parents, and colleagues to optimize the educational experience for the entire learning community., • You will perform under the supervision of school principals and in frequent partnership with other educators, paraprofessionals, and parent volunteers., • You will collaboratively plan and implement rigorous, meaningful, developmentally appropriate classroom instruction and interventions aligned to SAES curriculum., • You will be able to establish and communicate clear learning objectives to students and parents., • You will hold students to high standards of citizenship, academic achievement, and personal growth., • You must create a positive, safe, and engaging classroom learning environment and contribute to a positive professional school climate and culture., • You will assess and evaluate student learning progress using multiple assessment methods and communicate ongoing, high-quality feedback on learning progress., • You will also monitor students’ social, emotional, behavioral, and academic growth and, when necessary, intervene and seek support from appropriate colleagues., • You will have the ability to modify instruction and provide additional support, as needed, to optimize learning and growth of all students., • You will maintain accurate student records on attendance, classroom performance, and conduct., • You will uphold and enforce Company and SAES policies, administrative instructions, school rules and regulations., • You will also engage actively in ongoing regional, district, school and independent professional learning and development to hone professional knowledge, skills, and abilities., • As the successful candidate you will hold a Bachelor’s or Master’s degree in Education from a recognized and approved program., • You will have 3 year’s full-time teaching experience in a Pre-K to Gr 8 setting and will hold a valid professional teaching certification/licensure in appropriate subjects and levels., • You will demonstrate an excellent command of oral and written English., • You will also demonstrate successful capacity to work collaboratively, as well as independently. Work Location: Within Saudi Arabia – To be specified in Job offer Work Schedule: Full Time - To be specified in Job offer Job posting start date: 08/27/2026 Job posting end date: 12/31/2026 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Applied Researcher 4 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Data Preparation\n \n, • Publications studying tokenization, data quality, dataset curation, or labeling \n, • Contribution to a major open source corpus \n, • Contribution to open source libraries for data quality, dataset curation, or labeling\n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description About Neion Bio Neion Bio is harnessing nature’s best molecular factory, the chicken egg, to make medicine affordable, accessible, and resilient. We turn farms into medicine factories using cutting edge genetic engineering and stem cell technology. These “living bioreactors” are fully autonomous 3D biomolecular printers that operate on existing industrial-scale infrastructure. Our platform can rapidly and scalably produce almost any protein, provide national resilience to drug shortages and de-risk complex supply chains, and ultimately take advantage of novel biological environments to solve unmet medical needs. Biomanufacturing, reinvented. Medicine, democratized. Role Summary We are seeking an adaptable and organized caretaker/technician/associate who is motivated by the ethical care of animals and will contribute to the growth of Neion’s research program. This role involves hands-on care and handling of chickens and quail throughout their lifecycle, with a focus on reproductive biology in poultry, including AI, hatching and breeding, as well as additional aspects of avian veterinary care for chickens and quail. Key Responsibilities • Aviculture: Must be comfortable safely handling chickens in a research setting. Requires working with small flocks at all stages of development from egg collection, incubation and the successful hatching and growth of chicks and chickens, • Avian Breeding (Poultry): Artificial insemination, natural cover breeding, cryopreservation of semen, egg collection, incubation, hatching, sexing, and genotyping., • Veterinary Care: Carry out procedures, for example: safely restrain and perform venipuncture, collect and process samples, and ensure lab delivery, and provide preventative and interventional care., • Biosecurity: Must be comfortable showering into the facility, and working in full Personal Protective Equipment (PPE) and observing strict standard operating protocols (SOPs) to protect avian health, • Culture of Care: Contribute to ensuring the health and environmental, nutritional and social enrichment of our flocks, • Record Keeping: Maintain timely and accurate animal records, • Regulatory Compliance: Help to ensure that research areas and records meet and exceed IACUC inspection compliance Why Neion Bio? We are on a mission to reimagine the way in which complex biological molecules are produced to transform human health. At Neion Bio you will play a pivotal role in an early-stage, fast-growing company, working alongside leading scientists and entrepreneurs. You will have the opportunity to participate in the enormous potential upside while having a huge impact on the world. This is a rare opportunity to work at the center of a highly ambitious biotechnology company and help build the operating foundation for a new category of medicine manufacturing. Requirements • 4+ years experience providing hands-on animal care in a research, small animal clinical, farm or zoological setting is critical, including direct hands-on avian experience, • Prior experience doing artificial insemination and cryopreservation of semen, as well incubating and hatching eggs and raising chickens, • Undergraduate or an associate degree in biological sciences or related fields, or equivalent industry experience, • Extreme attention to detail is critical, as well as strict compliance with SOPs and are followed and documented, • Ability to operate with quiet confidence and competence, individually and as part of a team to promote a culture of care Benefits Compensation: base salary is expected to be $60K-$80K depending on experience, with additional bonus compensation, equity compensation, and benefits including health insurance, dental insurance, vision insurance, 401(k), and relocation support.

Job DescriptionOverview Recognized by Clarivate, Forbes, the Human Rights Campaign, and Military Friendly® for innovation, workplace excellence, inclusion, and veteran support. A global building automation and industrial technology company with 100+ years of history, 25,000+ patents, and 7,000+ engineers, operating across 70+ countries and 4 major business areas. Its technologies support industries including buildings, manufacturing, healthcare, data centers, and utilities worldwide. Benefits • 401(k) match: Employer matches 87.5% of the first 8% of eligible pay, up to 7% of base salary; generally fully vested after 3 years., • Education support: Up to $5,250/year for eligible undergraduate programs and $7,500/year for graduate programs., • Paid parental leave: 8 weeks (40 business days) for birth, adoption, or foster-care placement., • Paid time off: 56 hours of paid sick time annually, plus vacation and 12 paid holidays., • Health coverage: Medical, dental, and vision plans, including an HSA-eligible medical option and 100% in-network preventive care., • HSA & FSA: Tax-advantaged accounts for eligible healthcare, dental, vision, and dependent-care expenses., • Disability coverage: Short-Term Disability provides 100% of base pay for up to 8 weeks, then 70% through week 26; Long-Term Disability provides 60% of base pay after Short-Term Disability., • Employee support: Company-paid with 8 sessions per issue per year, plus health and wellness resources., • Employee support: Company-paid Employee Assistance Program with 8 sessions per issue per year, plus health and wellness resources., • Insurance & discounts: Company-paid basic life insurance of 1× annual base pay, Accidental Death & Dismemberment coverage, Business Travel Accident Insurance, and employee discounts. Benefits may vary by location, position, employee classification, and eligibility. Qualifications • 3+ years of experience in building automation or controls industry, • 1+ year experience working with DDC controls, BAS architecture, and system networking, • If not already a member, must be willing to join Union Local 3, • Valid driver's license with a driving record acceptable to HoneywellResponsibilities, • Design, configure, program, and troubleshoot Building Automation Systems (BAS), • Develop system databases, map points, and configure front-end workstations and graphics, • Interpret and implement sequences of operation, • Commission and start up HVAC control systems, • Work with industry protocols including BACnet, LonWorks, and Modbus

Applied Researcher 4 (AI Foundations: Multimodal Guardrails and VLM's) 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. What You’ll Do: • 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, 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., • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings 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, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks, • Experience designing controlled experiments and documenting reproducibility results for internal or public research 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 4 McLean, VA: $218,700 - $249,600 for Applied Researcher 4 New York, NY: $238,600 - $272,300 for Applied Researcher 4 San Jose, CA: $238,600 - $272,300 for Applied Researcher 4 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 theCapital 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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).

Forward Deployed Specialist Location: Remote (US) | Type: Contract, Full Time | Experience: 3+ years About the Role We're hiring Forward Deployed Specialists to make sure AI projects get adopted once they're built. You'll work directly with client teams to find the use cases worth pursuing, shape how the solution fits their daily work, and stay close enough after launch to prove it's paying off. You'll pair with Forward Deployed Engineers on full-time contract engagements with enterprise teams in industries like energy, healthcare, financial services, and industrial operations. You own the business side of the deployment: discovery, workflow design, configuration, training, and measuring results. You don't need to be a software engineer, but you should be at home in a spreadsheet, a SQL query, or a prompt, and able to hold your own in a room with engineers. If you come from consulting or operations and have watched good technology go unused because nobody owned the rollout, this role is that owner. What You'll Do • Lead discovery with client stakeholders to map workflows and pick the use cases with the clearest payoff, • Translate what you hear into requirements an engineer can build against, • Configure and test AI tools and workflows, including writing and refining prompts, • Train end users and build internal champions, because change management decides whether a rollout sticks, • Track adoption and ROI with real data, then turn it into a story leadership can act on, • Serve as the client's day-to-day point of contact on scope, timelines, and expectations, • Field feedback goes back to the engineers from you, so the next iteration fixes what users actually hit Qualifications Background • 3+ years in management or technology consulting, solutions consulting, implementation, or enterprise customer success, • Strong structured problem solving: you can walk into a messy process and come out with a clear plan, • Data fluency in Excel or Google Sheets, with SQL or Python a plus, • Hands-on use of current AI tools (ChatGPT, Claude, Copilot, or similar) in your own work, and a point of view on where they help and where they don't, • Clear writing and presenting, with executives and frontline teams alike, • Comfortable juggling several stakeholders and some ambiguity without losing the thread Nice to Have • Took an AI deployment, automation project, or enterprise software rollout from kickoff to adoption, • Industry background in healthcare, energy, financial services, or industrial operations, • Project management or change management experience Why Join Us You'll work alongside engineers and strategists who've delivered AI across a lot of enterprise environments, and you'll be the reason the work lands with the people it's built for. It's a role with real ownership and direct access to client leadership. New engagements open on a rolling basis. Apply once and we'll match you to the ones that fit your background. To apply, click Apply on LinkedIn

Architectural Coordinator — Building Systems Haven | Secaucus, NJ | Full-Time, Primarily On-Site Help us rebuild the industrial backbone of American housing. At Haven, we're transforming how homes are built. We combine advanced manufacturing, cold-formed steel, AI, and software to turn construction from a fragmented, project-by-project process into a repeatable, scalable manufacturing system. We're looking for an Architectural Coordinator who wants to help build thousands of homes, not just design one at a time. This isn't a traditional architecture role. You'll work at the intersection of architectural design, engineering, software, and manufacturing, translating building plans into precise, production-ready systems. Our philosophy is simple: Standardize what can be standardized. Automate what can be automated. Build better homes at scale. You'll help make that possible by coordinating active projects, maintaining accurate building models, and developing the digital workflows that connect architecture directly to manufacturing. What You'll Do • Turn architecture into manufactured products. Translate client architectural drawings into Haven's cold-formed steel and insulated wall panel systems., • Own architectural coordination. Manage multiple projects simultaneously, resolving dimensional, structural, and design conflicts before they reach production., • Build manufacturing-ready models. Develop and maintain accurate Revit/BIM models, coordinated drawings, and production documentation., • Connect design to manufacturing. Work directly with structural engineers, product developers, and factory teams to ensure digital models reflect what gets built., • Build scalable design systems. Develop standardized Revit families, templates, and documentation workflows so every project becomes faster and more repeatable., • Make architecture AI-native. Use AI, scripting, and automation to accelerate modeling, drawing reviews, documentation, and repetitive coordination tasks., • Own the details. Track architectural requirements, drawing changes, rough openings, foundation interfaces, and coordination issues across multiple active projects., • Collaborate with customers. Participate in architectural discussions with builders, architects, and developers, resolving technical questions and communicating solutions., • Improve the process. Identify bottlenecks, eliminate repetitive work, and help build the systems that allow Haven to deliver projects at increasing scale. What We're Looking For Required • Approximately 3+ years of experience in architecture, architectural coordination, or building design., • Strong Revit and BIM modeling skills, with experience independently managing project models., • Solid understanding of architectural documentation, building assemblies, and construction coordination., • Ability to manage multiple projects, competing priorities, and detailed deliverables., • Comfortable using AI tools as part of your everyday workflow., • Strong technical judgment, communication skills, and attention to detail., • A systems-oriented mindset and genuine interest in how buildings are manufactured. Bonus Points • Experience with prefabricated, panelized, or modular construction., • Familiarity with cold-formed steel framing or light-gauge building systems., • Experience with Dynamo, Grasshopper, Python, or computational design., • Exposure to manufacturing documentation, shop drawings, or design-for-manufacturing workflows., • Experience developing BIM standards, parametric families, or automated design processes. Who Thrives Here You're someone who loves architecture but is equally interested in how buildings actually get made. You enjoy working through complex details, coordinating across disciplines, and turning architectural intent into systems that can be manufactured efficiently. You're highly organized, proactive, and comfortable managing several projects at different stages. You don't wait for someone to tell you what needs attention next. You see repetitive work as an opportunity to build a better process. You don't just want to model buildings. You want to help reinvent how they're delivered. Why Haven We're building more than a construction products company. We're building the technology and manufacturing infrastructure for a new era of American homebuilding. You'll join a small, ambitious team where your work directly influences homes being manufactured, shipped, and installed across the country. Unlike traditional architecture firms, where every project begins largely from scratch, we're creating standardized building systems that become smarter, faster, and more efficient with every home we deliver. As an early member of our growing project delivery team, you'll have the opportunity to shape our architectural workflows, influence product development, and grow into broader project delivery leadership as Haven scales. Compensation & Benefits • Salary: $80,000–$90,000 annually, based on experience, • Equity: Stock options, • Healthcare: Medical and dental insurance, • Location: Secaucus, New Jersey Interested in helping industrialize American homebuilding? We'd love to hear from you.

Staff Applied Researcher 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. What You’ll Do: • 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, 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., • Define and steward novel research directions that expand the organization’s long-term scientific agenda, ensuring foundational discoveries translate into deployable capabilities 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: • 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), • 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, • Demonstrated history of initiating and leading multi-year research programs that shaped the direction of AI or ML subfields (e.g., representation learning, foundation models, multimodal reasoning) 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: $306,300 - $349,500 for Staff Applied Researcher McLean, VA: $306,300 - $349,500 for Staff Applied Researcher New York, NY: $334,100 - $381,300 for Staff Applied Researcher San Francisco, CA: $334,100 - $381,300 for Staff Applied Researcher San Jose, CA: $334,100 - $381,300 for Staff 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 theCapital 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 4 (AI Foundations - LLM, Optimization and Finetuning) 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. What You’ll Do: • 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, 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., • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings 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 4 McLean, VA: $218,700 - $249,600 for Applied Researcher 4 New York, NY: $238,600 - $272,300 for Applied Researcher 4 San Jose, CA: $238,600 - $272,300 for Applied Researcher 4 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 theCapital 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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).

PTI — Packaging Technologies & Inspection Named Best Place to Work in Westchester! Project Manager Project Manager Hawthorne, NY | Full-Time | On-Site The Opportunity PTI is looking for a Project Manager to join our team and lead customer-facing manufacturing programs from kickoff through delivery. This is a hands-on role for someone who enjoys managing projects, building strong customer relationships, coordinating teams, and taking ownership of results. If you’re organized, proactive, confident working with customers, and have 2–4 years of project management experience in a manufacturing environment, we’d like to hear from you. Position Details • Location: Hawthorne, NY — On-site 5 days per week, • Salary: $85,000 to $105,000 per year dependent on experience, • Employment: Full-Time, • PTO: 2 weeks paid time off, • Medical/Dental/Vision, • Additional Compensation: Performance-based compensation plan; details provided during the offer stage, • 401(k): Company match, • Travel: Approximately 10–15% to customer sites What You'll Do • Manage customer-facing manufacturing projects from kickoff through delivery, keeping scope, schedule, budget, and quality on track., • Serve as the primary customer contact and build strong, professional relationships throughout the project., • Coordinate engineering, operations, quality, service, and other internal teams to meet project milestones., • Lead project kickoff meetings, status reviews, and customer site visits., • Create and maintain project plans, schedules, status reports, and documentation using Monday.com, • Identify and proactively manage project risks, issues, dependencies, and changing priorities., • Partner with internal and external stakeholders to manage scope changes, schedules, and resource needs., • Maintain accurate project records, including meeting notes, action items, change orders, and delivery documentation., • Follow and support PTI’s PMO processes, tools, and project governance standards. What We're Looking For • 2–4 years of project management experience in manufacturing, industrial, or capital equipment., • Experience managing customer-facing projects and working directly with clients and stakeholders., • Strong communication, negotiation, and conflict-resolution skills., • Ability to manage multiple priorities and keep projects moving forward., • Strong written and verbal communication skills with both technical and non-technical audiences., • Proficiency with Microsoft Office, including Excel, PowerPoint, Word, and Outlook., • Willingness to learn and consistently use PTI’s project management tools and processes., • Ability to work on-site in Hawthorne, NY, five days per week., • Ability to travel approximately 10–15% to customer sites. Nice to Have • Experience with Monday.com, • Bachelor’s degree in mechanical engineering, industrial engineering, manufacturing, or a related field—or equivalent hands-on manufacturing experience., • Experience in pharmaceutical, packaging, or inspection equipment. Why PTI? Packaging Technologies & Inspection (PTI) is a leading provider of leak detection, package integrity testing, and inspection solutions for the pharmaceutical, medical device, and packaging industries. Global manufacturers rely on PTI’s technology and expertise to help ensure the safety and integrity of their products. At PTI, you’ll work on a diverse portfolio of customer programs supporting leading pharmaceutical, medical device, and packaging companies. You’ll be part of a professional, collaborative team with a strong focus on accountability, customer satisfaction, operational excellence, and continuous improvement.

Structural Engineer — Product Development Haven | Secaucus, NJ | Full-Time, Primarily On-Site Help us rebuild the industrial backbone of American housing. At Haven, we're transforming how homes are built. We combine advanced manufacturing, cold-formed steel, and software to turn construction from a fragmented, project-by-project process into a repeatable, scalable manufacturing system. We're looking for a Structural Engineer who wants to build products, not just review drawings. This isn't a traditional desk engineering role. You'll work directly with our product and manufacturing teams to design, prototype, physically test, and bring new structural systems into production. Our philosophy is simple: Engineer it once. Validate it once. Manufacture it thousands of times. Rather than re-engineering every home from scratch, we're building a library of validated structural systems that can be deployed repeatedly, across projects and regions. You'll play a central role in making that possible. What You'll Do • Design structural products. Develop and optimize cold-formed steel wall systems, connections, framing assemblies, and new building components., • Simulate, build, and test. Combine structural analysis with hands-on prototyping and physical testing to validate designs., • Engineer for manufacturing. Reduce material usage, simplify connections, optimize installation, and improve structural performance without compromising safety., • Build reusable engineering systems. Create validated wall assemblies, structural details, and regional design standards that scale across thousands of homes., • Own the path to production. Take concepts from initial design through analysis, testing, documentation, external engineering approval, and implementation., • Make engineering AI-native. Use AI, scripting, and automation to accelerate calculations, drawing reviews, documentation, and repetitive workflows, while maintaining rigorous engineering oversight., • Collaborate across disciplines. Work directly with product designers, manufacturing operators, project teams, and external Engineers of Record. What We're Looking For Required • Bachelor's degree in Civil or Structural Engineering., • 3–6 years of structural engineering experience., • Experience with structural analysis tools such as RISA, ETABS, or equivalent., • Working knowledge of cold-formed steel design, structural load paths, and building codes., • Hands-on experience with structural testing, prototyping, or experimental validation., • Comfortable using AI tools as part of your everyday engineering workflow., • Strong technical judgment, curiosity, and a bias toward action. Bonus Points • PE license or path to licensure., • Experience with modular, panelized, or prefabricated construction., • Familiarity with Revit, Rhino, Grasshopper, SolidWorks, or Fusion 360., • Python scripting, computational design, or engineering automation experience., • Experience bringing engineered products from concept into manufacturing. Who Thrives Here You're an engineer who wants to see your designs become real products. You enjoy being on the manufacturing floor as much as working through a structural model. You question established methods, experiment intelligently, and constantly look for ways to make systems simpler, stronger, and more efficient. You don't want to spend your career solving the same engineering problem on every new project. You want to solve it once, build the system, and scale the solution. Why Haven We're building more than a construction products company. We're building the technology and manufacturing infrastructure for a new era of American homebuilding. You'll join a small, ambitious team where engineering decisions directly influence products being manufactured, shipped, and installed in real homes. This is an opportunity to have meaningful ownership over a fundamentally new approach to how housing gets built. Compensation & Benefits • Salary: $90,000–$120,000 annually, based on experience, • Equity: Stock options, • Healthcare: Medical and dental insurance, • Time Off: 15 days of combined PTO and sick leave, plus 7 paid holidays, • Location: Secaucus, New Jersey — primarily in-person, • Reports to: Head of Product Development Interested in engineering the future of homebuilding? We'd love to hear from you.

About the Role Tanya Creations is seeking an AI-first jewelry designer to help redefine how we develop fashion jewelry. This is not a traditional design position. We are looking for a designer who combines strong creative judgment and fashion sensibility with exceptional proficiency in generative AI tools. The successful candidate will use AI as a core part of the design process to rapidly research trends, develop concepts, create product variations, visualize collections and translate ideas into commercially viable fashion jewelry. The objective is simple: develop better product, explore significantly more ideas, and move from concept to market substantially faster than is possible through a traditional manual design process. The position can be based in Tanya Creations' Rhode Island office or Unique Designs' New Jersey office. What You Will Do AI-Driven Product Design • Use generative AI tools to create new fashion-jewelry concepts, collections, variations, colorways and merchandising stories., • Translate trend direction, retailer briefs, competitive products and existing best sellers into commercially viable new designs., • Rapidly generate and evaluate multiple design directions rather than relying primarily on manual sketching., • Refine AI-generated concepts into accurate, realistic designs that can be understood and executed by product-development and manufacturing teams. Commercial Product Development • Design specifically for the customer, price point, consumer and manufacturing constraints—not simply for aesthetic appeal., • Work with sales, merchandising and product-development teams on programs for major retailers, licensed brands and e-commerce., • Analyze successful products, competitive assortments and trend references to identify opportunities for new styles., • Develop coherent collections rather than isolated designs. AI Workflow Development • Continuously test new AI design tools, models and workflows and recommend those that materially improve product development., • Build reusable prompt libraries, visual reference libraries, templates and workflows for different customers and product categories., • Help establish Tanya Creations' internal standards for AI-assisted design., • Train and support other members of the design and product-development teams in effective AI workflows. What We Are Looking For Required • Strong demonstrated proficiency with generative AI image and design tools., • Formal education in fashion design, jewelry design, industrial design, product design, graphic design or a related discipline or meaningful professional design experience., • Strong understanding of design fundamentals including proportion, form, color, materials, composition and trend interpretation., • Ability to take an AI-generated concept and recognize what is commercially strong, technically incorrect or impractical to manufacture., • Strong Adobe Photoshop and/or Illustrator skills., • Portfolio demonstrating both design ability and substantial AI-generated design work., • Strong curiosity and willingness to experiment with rapidly evolving technology., • Ability to work quickly, handle multiple projects and respond to buyer or merchandising feedback. Strongly Preferred • Professional experience in fashion jewelry, accessories, apparel or another fashion-driven consumer-product category., • Understanding of fashion-jewelry materials and construction, including plating, stones, cast components, chains, findings and mixed materials., • Experience designing product for mass-market or specialty retailers., • Experience with tools such as Midjourney, Adobe Firefly, ChatGPT image generation, Stable Diffusion/FLUX, ComfyUI, Raspberry AI or similar creative AI platforms., • Experience using image-to-image generation, reference images, inpainting, iterative editing and other controlled generative workflows., • Experience converting concepts into specifications or development instructions for overseas factories. What Success Looks Like Within the first year, this person should help Tanya Creations: • Significantly increase the number of commercially viable designs evaluated each season., • Reduce the time required to move from trend or customer brief to presentation-ready concepts., • Reduce unnecessary physical sampling by improving visualization before samples are ordered., • Increase the percentage of designs selected by sales teams and retail buyers., • Establish repeatable AI-design workflows that can be used by the broader Tanya Creations design organization. Who Will Excel in This Role The ideal candidate is not someone who simply knows how to write prompts. We are looking for someone who combines the eye of a designer, the commercial judgment of a product developer and the curiosity of an AI power user. You should be excited by the idea that AI allows a strong designer to explore 30 ideas in the time it previously took to develop three—and have the judgment to recognize which three are actually worth making.” Salary offered for the right Candidate $60,000.00- $80,000.00 per year

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. We are seeking an Architect to join the Engineering & Design Division of the Community Services Technical Support Department. The Engineering & Design Division provides multidisciplinary engineering, architectural and technical services in support of Community Services facilities and programs, including the assessment, planning, design, renovation, enhancement and construction support of residential, recreational, administrative, educational, public-use and support facilities. The Senior Community Facilities Engineer – Architectural provides senior-level architectural and technical expertise for the assessment, planning, design, renovation and enhancement of Community Services facilities. The role supports multidisciplinary coordination, code and standards compliance, value engineering, constructability, construction support and the delivery of sustainable, resilient and human-centered facilities. The role also promotes resource efficiency, low-carbon and circular economy principles, accessibility, placemaking, public realm quality and lifecycle performance. You will be required to perform the following: • Provide senior architectural engineering expertise for new construction, renovations, expansions, rehabilitation and enhancement of Community Services facilities from initial assessment and planning through design development, construction and closeout., • Perform architectural assessments of existing facilities to evaluate condition, functionality, code compliance, accessibility, building performance and suitability for current and future operational requirements, and develop technically sound improvement strategies., • Develop architectural concepts, space programs, planning criteria, design requirements and technical solutions that respond to proponent needs while optimizing functionality, user experience, operational efficiency, maintainability and lifecycle value., • Review architectural studies, drawings, specifications, calculations, material selections and design packages at various stages of development to verify technical adequacy, completeness, constructability and compliance with applicable Company requirements, building codes and recognized international standards., • Lead resolution of complex architectural and facility-related technical issues and develop recommendations considering safety, functionality, aesthetics, constructability, cost, schedule, sustainability, maintainability, resilience and long-term facility performance., • Coordinate architectural requirements with structural, civil, mechanical, electrical, fire protection, interior design, landscape and other disciplines to achieve fully integrated multidisciplinary design solutions., • Perform design optimization, value engineering and constructability reviews to identify opportunities for cost avoidance, improved performance, reduced execution risk and effective utilization of existing facilities and infrastructure., • Apply sustainable and climate-responsive design principles to improve energy and resource efficiency, reduce environmental impact and support low-carbon and net-zero objectives where technically and economically practical., • Incorporate circular economy principles through efficient use of materials, adaptive reuse, durability, flexibility, waste reduction and lifecycle considerations in facility planning and design., • Promote human-centered design, accessibility, placemaking and high-quality public realm principles to improve usability, comfort, inclusivity and overall community experience., • Evaluate emerging global trends, technologies, materials and best practices related to sustainability, decarbonization, resilience, smart buildings and future-ready community facilities, and recommend appropriate applications., • Provide architectural technical support during construction, including review of technical submittals and field conditions, evaluation of proposed design changes, resolution of site-related technical issues and verification that implemented solutions maintain approved design intent., • Assess deviations, nonconformances and unforeseen site conditions and develop appropriate architectural corrective solutions while protecting project quality, schedule and operational requirements., • Provide technical consultation to Community Services organizations and management on facility development, renovation strategies, architectural standards, design alternatives and complex building-related matters., • Develop and contribute to architectural guidelines, design criteria, standard details, technical practices and other engineering tools that promote consistency, quality, sustainability and effective governance across Community Services facilities., • Mentor and provide technical guidance to less experienced architects and engineers and contribute to the development and transfer of architectural knowledge within the organization., • As the successful candidate you will hold a Bachelor’s degree in Architecture or Architectural Engineering from a recognized and approved program. An advanced degree in a related discipline is preferred., • You will have fifteen years of experience in architectural design, engineering and development of building and community facility projects, including at least five years in a senior technical role involving complex multidisciplinary facilities. In addition, you will demonstrate the following:, • Extensive knowledge of architectural planning, building design, space programming, building envelope systems, materials and finishes, accessibility, life safety, sustainability, facility renovation and adaptive reuse., • Strong knowledge of applicable building codes, accessibility requirements, industry standards and recognized architectural design practices., • Demonstrated experience in evaluating existing facilities, identifying deficiencies and technical risks, and developing recommendations for rehabilitation, renovation, expansion, replacement or new construction., • Demonstrated experience in reviewing architectural design packages at various stages of development and resolving interdisciplinary design interfaces with structural, civil, mechanical, electrical, fire protection, interior design, landscape and other engineering disciplines., • Experience in value engineering, constructability reviews, design optimization and development of cost-effective technical solutions without compromising safety, functionality, quality or regulatory compliance., • Knowledge of sustainable and resilient design principles, including resource efficiency, low-carbon design, lifecycle performance, circular economy principles, climate-responsive design and strategies supporting net-zero energy objectives where practical., • Understanding of human-centered design, placemaking, public realm quality, accessibility and user experience in the planning and development of community facilities., • Ability to provide technical consultation to management, operating organizations, project teams, consultants and contractors and to communicate complex architectural matters clearly to technical and non-technical stakeholders., • Excellent written and oral communication skills, with the ability to prepare clear technical reports, design recommendations and management presentations., • Knowledge and practical experience with Building Information Modeling, computer-aided design and architectural design and visualization tools is preferred., • Professional registration or architectural licensure is preferred. Work Location: Within Saudi Arabia – To be specified in Job offer Work Schedule: Full Time - To be specified in Job offer Job posting start date: 08/31/2026 Job posting end date: 12/31/2026 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. We are seeking a Diving Specialist to join the Marine Offshore Support Division of RT / WR Marine Operations Department. The Marine Offshore Support Division is responsible for providing offshore support assets, and subsea inspection, repair, maintenance and construction services to Company offshore concession areas. Your primary role is to ensure the safety, efficiency and regulatory compliance during all subsea inspections, repairs and maintenance operations being undertaken on offshore installations such as oil and gas platforms, subsea pipelines hardware, cables and terminals. As the successful candidate you will be required to perform the following: • Conduct safety Inspections for diving vessels and diving equipment., • Conduct on hire inspections and audits for diving vessels and diving equipment., • Perform the role of the company diving representative offshore., • Review quality control and approve Contractor Divers CVs as per contract stipulations., • Work closely with Contractor diving supervisors to ensure the safe completion of all diving projects., • Produce documents for the sharing of Safety Information, such as safety flyers and lessons learnt., • Provide Safety Presentations as necessary., • Perform the role of the Marine focal Point for Diving Incident Reporting and Investigations, • Identify and take remedial action in areas where safety can be improved., • As the successful candidate you will hold valid Offshore Diving Qualification HSE Part 1 or IMCA Equivalent, IMCA Diving Supervisor Certification and HSE Certification to work in the offshore environment., • You will have at least (15) fifteen years’ experience in offshore commercial diving industry, including at least (5) five years as a IMCA Air or Saturation Diving Supervisor., • Have a valid Offshore Diving Medical and Basic First Aid Certificates recognized by IMCA., • Possess excellent oral and written English language skills as well as being computer literate., • IMCA Surface Deployed Air and Saturation DESIGN course completion., • Log book of audits is also necessary., • NEBOSH General Certificate in Occupational Health and Safety or hold an HSE Certificate of a similar standard to the NEBOSH General Certificate in Occupational Health and Safety is preferred., • You must be able to demonstrate knowledge of subsea risk assessment, work permit system, tool box talks, Job Safety Analyses and Subsea Risk Assessment and Job Safety Analysis Programs, • Technical background reference for all diving equipment is preferred. Work Location: Within Saudi Arabia – To be specified in Job offer Work Schedule: Full Time - To be specified in Job offer Job posting start date: 12/30/2025 Job posting end date: 12/31/2026 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. We are seeking a qualified and creative Instructional Designer to design to work for the Downstream Learning and Development Department (DLDD). DLDD delivers technical and professional training to enhance Downstream workforce capability and strengthen organizational performance. Your primary role is to develop high-quality learning experiences that support the Downstream organization. You will work closely with subject matter experts (SMEs), training stakeholders, and internal partners to ensure programs are designed using evidence-based instructional practices and evaluated through robust performance metrics. As the successful candidate, you will be required to perform the following: • Analyze learning needs and performance gaps to design effective instructional solutions., • Design and develop detailed instructional design documents, storyboards, scripts, and learning outlines., • Review learning activities, curricula, and course materials that drive effective knowledge transfer and on-the-job performance., • Define clear instructional goals and ensure all training materials, assessments, and learning assets align with these objectives., • Create engaging exercises, activities, and multimedia elements that enhance learner engagement and support skill application., • Design and produce polished PowerPoint presentations for instructor-led and virtual training sessions., • Evaluate programs using data, feedback, and performance metrics to recommend improvements., • Maintain accurate project documentation, course files, and version control across DLDD systems., • Collaborate with SMEs to translate complex information into clear, engaging learning assets., • Assess, manage, and work with external training vendors to ensure training programs meet DLDD standards for design, development, and delivery., • Stay current with learning trends, emerging technologies, and best practices in instructional design and workforce development., • Design assessments, quizzes, and evaluation strategies aligned with measurable learning outcomes., • Apply adult learning principles, learning science theories, and user experience best practices to all solutions., • Conduct usability testing, gather learner feedback, and iterate designs for continuous improvement., • Ensure learning materials meet accessibility standards and follow organizational branding. As the successful candidate, you will have: • A Bachelor’s degree in Instructional Design, Education, Engineering, or a related field., • Minimum of 5 years’ experience in instructional design, curriculum development, or program evaluation., • Strong understanding of adult learning principles, instructional design frameworks, and evaluation methodologies., • Experience designing and developing training content aligned with learning objectives and organizational needs., • Proficiency with e-learning authoring tools such as Articulate Storyline, Articulate Rise, and Adobe Captivate., • Familiarity with graphic design and multimedia tools such as Adobe Illustrator, Photoshop, Premiere Pro, or Camtasia., • Ability to create simple visual assets, animations, or interactive elements using tools like Canva, Vyond, or similar platforms., • Excellent written and verbal communication skills, with the ability to collaborate effectively with diverse stakeholders., • Strong analytical, organizational, and project management skills., • Familiarity with AI-assisted learning design tools to support efficiency and innovation in training development., • Advanced proficiency with PowerPoint for designing instructor-led content, visual layouts, and prototypes., • Solid foundation in learning science and the ability to design engaging, learner-centered content across digital, instructor-led, and blended delivery formats., • Excellent project management skills. Skills and Competencies • Strong visual design skills and attention to detail., • Creative problem-solving and solution-focused mindset., • Ability to manage multiple projects and deadlines., • Effective collaboration and stakeholder-management capabilities., • Ability to simplify complex concepts and present information clearly and logically. Work Location: Within Saudi Arabia – To be specified in Job offer Work Schedule: Full Time - To be specified in Job offer Job posting start date: 12/10/2025 Job posting end date: 12/31/2026 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. We are seeking a Business Communications Partner (BCP), to join the Communication Alignment Division in Aramco’s Corporate Communications function. Aramco’s Corporate Communications function is responsible for elevating Aramco's reputation, influence, and trust among global stakeholders, fostering global visibility and driving business outcomes. The Communications Alignment Division is responsible for the development, coordination, alignment, execution oversight, evaluation, and accountability reporting of integrated business communications to support the Company’s Business Line functions. The Division is comprised of Business Communications Partners that are assigned to support Business Lines, ensuring that business plan objectives and priorities are translated into impactful integrated communications strategies, content campaigns, and event, news and initiative plans. The BCP’s primary roles are to ensure that business communications are fully aligned and integrated with the overall Corporate Communication Strategy and Content Strategy, and to support as a lead communications interface between Corporate Communications and the assigned Business Line function. As the successful candidate you will be required to perform the following: • Serve as a key interface and coordination point for all assigned communications workstreams, managing input from the Business Line leadership team and the broader Corporate Communications function., • Stakeholder mapping and research that helps to build a deep understanding of the audience and their needs., • Leveraging data-driven insights (including corporate reputation tracking, media analysis, benchmarking) to inform a strategic approach, business communication objectives, and KPIs., • Development of compelling, multi-channel business communications strategy, with input from leadership and corporate communications team members., • Development of specific messaging and supporting materials, drawing on proof points to validate business communications messages and priorities., • Content development including but not limited to press releases, key messages, FAQs and factsheets, strategic briefs for creative content (such as motion infographics, video, website, etc.) with input from the Business Line and Corporate Communications teams., • Coordinating with other communications teams to successfully activate the business communications strategy – including through media relations, social media, event management, publishing, internal communications, speechwriting, and other marketing/communications channels as appropriate., • Identify and develop a calendar of strategic speaking engagements and opportunities for the business leaders and subject matter experts., • Development of clear business communications objectives, KPIs, and metrics to measure the effectiveness and impact of communications and external engagement with content and understanding of strategy., • You will have strong academic credentials, holding a Bachelor’s degree, with advanced or professional qualifications in Communications or related disciplines also desirable., • You will have eight plus years of experience in strategic business communications, either in-house or in a consultancy. Experience in the Oil & Gas or Energy Sector and regional experience is also desirable., • You will have proven experience in developing and delivering a multi-channel corporate communications strategy in a global, diversified, and agile organization., • You must have excellent communication skills both verbal and written. Strong interpersonal and project management skills., • You must also have professional gravitas, credibility, and diplomacy skills to liaise with senior leaders and executives., • You will have the ability to confidently present to senior executives and explain communication strategies, techniques, and KPIs., • You will be able to distil technical terms, information, aims and objectives, information and objectives, and translate these into clear and compelling communication concepts for stakeholders., • You must be fluent in written and verbal English, while Arabic language skills not mandatory but desirable. Work Location: Within Saudi Arabia – To be specified in Job offer Work Schedule: Full Time - To be specified in Job offer Job posting start date: 07/14/2026 Job posting end date: 12/31/2026 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. We are seeking a Crisis Communications and Issues Management Specialist join our Monitoring and Coordination Division. Monitoring and Coordination Division is responsible for handling monitoring of Aramco’s media mentions and dealing with crisis communications. Your primary role is to assess and deal with crisis and reputation issues when they happen. Additionally, develop mitigation plans and responses to media questions, also review and update the corporate crisis communications manual and conduct drills and training for staff. As the successful candidate you will be required to perform the following: -Update the Crisis Communications Manual on a monthly basis, gain approval, and prepare copies for management on a quarterly basis. -Assist business lines with their Crisis Communications manuals & training requirements. -Ensure that the Media room is running and updated with current technology and equipment. -Conduct weekly video conference testing in collaboration with other functions. -Respond to incidents or issues that have the potential to damage the Company’s reputation. -Prepare communications as needed during an incident or threat to the Company’s brand. -Support Corporate Communication strategic initiatives by developing and maintaining a crisis plan. -Prioritize and manage multiple projects and initiatives within a busy media team. -Leverage available enterprise data and research (e.g. corporate reputation tracking data and stakeholder insights) to inform future communication strategies, content creation and engagement. -Develop KPIs and metrics to measure the effectiveness and impact of crisis communications strategies. -Provide functional support and advice on crisis media issues to senior leaders in the organization. -Attend cross functional crisis drills, provide support and ensure accountability reporting on outcomes of attendance and participation at such events. -Support the Company’s crisis communications activities, crisis preparedness, and media handling during crisis incidents. • You will hold a Bachelor’s degree in in the fields of Mass Communications, Risk Management, Public Relations, Journalism, Crisis Management, or related field from a recognized and approved program., • You will have 10 years of experience in developing crisis communication strategies. Work Location: Within Saudi Arabia – To be specified in Job offer Work Schedule: Full Time - To be specified in Job offer Job posting start date: 06/07/2026 Job posting end date: 12/31/2026 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.