Trabajos ai researcher en New York, New YorkCrear alertas

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. Please note that this salary information is solely for candidates hire

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * 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: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 1 Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionVoleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our market making strategies. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon’s deep real-world experience applying ML to financial markets. Voleon Securities is looking for creative, entrepreneurial researchers who enjoy grappling with very difficult problems. This is a chance to join the initial buildout of a fully modern securities business rooted in the frontier of AI/ML and statistics. We particularly welcome researchers with practical experience in optimal stochastic control, deep RL, deep learning, and causal inference. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. As a Member of Research Staff, you will work at the forefront of modern statistical machine learning. Your research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists, Voleon supports a culture of curiosity, collegiality, and creativity. Your work will focus on financial market prediction and portfolio optimization. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we’ve spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. You will work with a complex and diverse array of datasets to implement and iterate on predictive models. Predicting financial markets is an enduringly hard problem, but results are immediate and unambiguous. Years of academic training has prepared you for this moment. You won’t just conduct research, you’ll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading.Responsibilities • Develop a rich understanding of Voleon’s challenges and methodologies and propose research innovations and experiments to build, maintain and optimize the models that govern our trading strategy, • Prepare and analyze new datasets to assess their predictive efficacy, • Develop, validate, and implement new models into production, • Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment, • Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes, • Keep up to date on the latest academic research to identify novel approaches to explore for application to our domainRequirements, • Background in modern statistical methods and machine learning with a track record as an applied researcher, preferably with experience in at least one of the following: optimal control, deep RL, deep learning, and causal inference, • Hands-on experience building successful liquidity providing strategies across asset classes preferred but not required, • Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement), • Interest in software development techniques and willingness to write production-level code (Python), • Ability to solve large-scale computing problems, • Eagerness to work in a fast paced and growing business, • Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite

Job Description Machine Learning Researcher / Data Scientist Global Investment Firm J Harlan Group is currently conducting a search for a Machine Learning Researcher / Data Scientist at a prominent Global Investment Firm in NYC. Machine learning researchers at the firm create novel machine learning approaches to financial applications. They utilize their creativity and innovation to help the firm trade profitably in markets around the globe. All types of learning and AI, including deep learning and statistical learning, are potentially relevant. You'll work with smart, talented people across their business to create groundbreaking, next-generation data intensive machine learning applications. You'll be involved, hands-on, through the entire cycle. They will expect you to be agile / to lead / to think outside the box. In return, they'll give you challenging work that has an impact / Opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that's how we help our clients succeed. Principal Responsibilities: The team is tasked with building next generation of advanced statistical and machine learning methods to produce models and prescriptive data that result in better decisions by their Portfolio Managers, Analysts, and Traders, Quants and / or applications. Specific responsibilities include designing, implementing, testing experimentally and scaling up new models for forecasting asset prices, developing new tradeable signals, and other financial applications. The ideal candidate would have a background and a deep passion for working with machine learning techniques within the investment community. • Strong computer science and technical background with exceptionally, creative “Hands-On” High Impact Machine Learning Research and Applications experience - All types of learning and AI, including deep learning and statistical learning, are potentially relevant., • Experience and a high level of interest in financial markets (with prior experience a big plus) – candidates from both industry and academia with broad experience across multiple fields of Machine Learning is a plus., • Ability to work in an open collaborative and highly charged investment environment., • Strong desire to contribute and build a business – not just solve novel problems. About the Client: The firm is a prominent multinational investment management firm. The company manages a variety of investment funds that make extensive use of quantitative methods and proprietary computational technology to support fundamental research in the management of its investments. They have a relentlessly focuses on innovation and integration: innovation in new products, markets and businesses as well as new tools, models and technology management and performance structures; integration of fundamental research, quantitative strategies and technical analysis, all supported by an intensive focus on operational excellence and comprehensive risk management. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients

Job DescriptionAbout Beam:Beam was founded in 2012 by three engineers who saw the opportunity to modernize the dental benefits industry using technology. Today, Beam Benefits is a digitally-led employee benefits company that offers dental, vision, life, disability, and supplemental health coverage. The company simplifies and modernizes the $100+ billion ancillary benefits industry through its leading dental insurance product, breadth of ancillary benefits, AI-powered underwriting, diversified distribution channels, and next generation benefits administration technologically-driven customer experience. The Role: A Sales Executive (SE) is a pivotal in-market sales role at Beam Benefits. In this role, you will establish and expand partnerships with brokerages within your territory by focusing on building and nurturing lasting relationships. Your goal is to saturate your market with Beam’s presence, working closely with brokerages that align with our Ideal Broker Profile. In some markets, you will also play a critical role in supporting Beam’s national broker partners and general agency partnerships, ensuring alignment and maximizing Beam’s value across all channels. You will use a variety of tactics (e.g., cold calling, email campaigns, web conferencing, and in-person networking) to build trust, educate brokers on Beam’s unique differentiators, and deliver exceptional value. You will be active within your market, attending events and networking opportunities to deepen relationships and expand Beam’s presence. Your success lies in developing a balanced approach—prioritizing high-quality interactions while driving volume through new proposals to win clients. Your ability to drive repeat business and create long-term strategic partnerships will contribute to your success and Beam’s growth. What Makes You Successful: You develop a long-term strategy.You focus on cultivating meaningful broker relationships and consistently aim for quality over sheer quantity both in relationships and in working your pipeline / sales opportunities. You adopt a forward-thinking mindset, always considering how to maximize value for brokers and Beam. You are adaptable to change.As part of a fast-growing company, you thrive in an agile and dynamic environment, embracing change as an opportunity to grow and innovate. You are coachable.You welcome constructive feedback and leverage resources provided by your Sales Director, Sales Enablement, and Revenue Operations to continuously improve and stay ahead of the curve. You are a team player.You actively contribute to Beam’s larger mission by executing new strategies, utilizing sales tools, and embracing talk tracks provided by Sales Leadership and Enablement. You share market insights to improve our go-to-market strategies. You are accountable.Metrics and activity tracking are tools you use to gauge success and stay aligned with goals. You see these as allies in driving both personal and team performance. You are creative.You think outside the box, bringing fresh ideas to the table and exploring innovative approaches. You maximize the use of tools and technology in standard and unconventional ways to achieve success.Joining Beam Benefits Means: • Working in a complex and dynamic business, simultaneously serving customers across employee benefits insurance product lines and growth and service channels, • Collaborating with a diversely skilled team to continuously improve, • Being empowered as an owner and expert, • Being motivated by improving how people access employee benefitsYour Impact (What You Will Do):, • Consistently meet or exceed assigned sales objectives, including monthly, quarterly, and annual booking targets, by executing the full Beam sales process, • This includes broker prospecting, broker lead generation, qualifying opportunities, scheduling appointments, delivering presentations, understanding employer benefit challenges, developing solutions and proposals, forecasting & pipeline management, and overcoming objections, • Execute Beam's repeatable sales process to rapidly develop new markets, with a focus on high-activity tactics such as emails, cold calls, and web demos, • Establish and expand strong, productive relationships with independent and regional, and national brokerage partners, quickly converting those relationships into new Beam clients, • Maintain accurate sales data to inform process improvements and create efficiencies within the team and across new markets, • Stay informed about new product and feature launches, ensuring broker partners are up-to-date and equipped to succeed, • Track and analyze activity and sales metrics to ensure alignment with goals, • Regularly collaborate with sales leadership to identify trends and ensure both your territory and broker partners are progressing toward success, • Use Salesforce to meticulously track all opportunities, leads, activities, forecasts, and related data to drive results and improve efficiency, • Minimum 20% in-market travel requiredYour Experience:, • 3+ years of B2B sales experience in a high-volume role, with channel sales experience preferred (e.g., through employee benefits brokers and/or general agencies), • Experience working in the insurance industry, ideally in dental, vision, life, disability, and/or supplemental health products, • Ability to generate and analyze reports to optimize sales performance and enhance the purchasing experience for employee benefits brokers, • Strong organizational skills combined with exceptional written and verbal communication abilities, • Ability to quickly learn new ancillary product lines and adapt to dynamic sales processes and tools, • Familiarity with Salesforce is a plusMedical sales, insurance sales, employee benefits, HR, or brokerage experience is not required but is preferred, • Requirement to secure your Life & Health license within 60 days of your start date, • A passion for developing relationships within the employee benefits broker community, with an emphasis on in-person engagement and rapport-building, • Ability to travel up to 50% of the time within your assigned territory for in-person meetings and eventsTraining and Development:, • Beam provides an in-depth onboarding program designed to set you up for success, with ongoing coaching and resources to support your growth in the role, • You’ll develop into a nimble sales researcher, highly skilled at discovery and adept at multi-threading to navigate complex sales processes effectively, • Master industry-specific communication and sales techniques to effectively identify employee benefit broker needs, propose tailored solutions, and close deals with confidence, • Gain expertise in Beam’s internal administrative tools and leverage the industry’s leading CRM platform, Salesforce, to manage your pipeline and maximize efficiency

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an AI Researcher focused on the development of our foundation model, you will be at the forefront of integrating advanced ML techniques with materials modeling to create a generalizable, robust, and scalable universal ML interatomic potential capable of accelerating materials discovery. Your work will play a critical role in enabling self-driving labs and advancing AI-driven materials science. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Develop scalable MLIP frameworks capable of representing diverse chemical systems with high fidelity., • Innovate and implement state-of-the-art machine learning models, such as graph neural networks, equivariant architectures, or hybrid approaches for interatomic potential development., • Curate and integrate large-scale datasets from first-principles calculations (e.g., DFT) and experimental sources., • Explore active learning and automated data acquisition workflows for efficient dataset expansion., • Address challenges of scalability, generalizability, and transferability in MLIP designs., • Optimize training and inference pipelines to leverage high-performance computing resources effectively., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in AI, Machine Learning, Physics, Materials Science, Computer Science, or a closely related field, with a strong focus on atomistic modeling., • At least 3 years of research experience in AI, especially in graph neural networks, deep learning architectures, or equivariant modeling techniques., • Solid understanding of materials modeling and interatomic potentials, including DFT and molecular dynamics simulations., • Familiarity with high-performance computing and distributed training methods., • Demonstrated experience in designing and running large-scale experiments in AI and machine learning., • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Experience in developing or applying MLIPs such as Gemnet, MACE, NequIP, Allegro, or similar frameworks., • Familiarity with software engineering best practices.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research., • A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.+ Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. We are seeking a senior researcher to lead feature engineering for predictive models. You will lead a team of researchers in applying financial insight and statistical machine-learning methods to uncover predictive signals from structured and unstructured data. Your work will directly improve model performance and investment outcomes. This is a unique opportunity to set a feature research agenda, mentor outstanding colleagues, and collaborate with best-in-class teams across research, engineering, and investment strategy. Responsibilities • Lead the design and development of features for use in supervised and unsupervised learning, drawing on a variety of econometric and financial concepts., • Translate economic and financial model constructs into scalable, empirical signal definitions, using structured and unstructured data., • Collaborate with data engineering teams to implement clean, robust pipelines for feature generation and version control across large securities universes., • Shape the experimental framework for evaluating feature performance in predictive models., • Establish and manage best practices for documenting construction logic, assumptions, and behavior of each feature under different economic and market conditions., • Manage and coach the featuring engineering team, fostering a collaborative and results-driven environment., • Align the team’s efforts with broader research and model development goals through strategic planning and cross-functional collaboration.Requirements, • Demonstrable clarity of thought., • Grit, in large quantities., • 7+ years of experience in quantitative finance, signal research, or predictive modeling, including at least 2 years leading research teams or initiatives., • Strong scientific programming skills in Python and/or R; experience with SQL or Spark is a plus., • Deep understanding of financial markets, company fundamentals, econometrics, and financial-economic models., • Extensive experience designing features for use in machine-learning pipelines or research environments (e.g., PyTorch, scikit-learn)., • Master's degree in a relevant quantitative field.Preferred, • Ph.D. in a quantitative field., • Experience managing globally distributed research or data-analysis teams.

Job Description Location: New York City (Near Grand Central Station) Employment Type: Full-time Work Arrangement: Hybrid (3-5 days per week in-person) About the Role Our client, a rapidly growing AI startup with a mission to reinvent the $80B+ market research industry, is looking for a Member of Technical Staff (ML/AI Focus). The client's platform acts as an AI qualitative researcher, transforming customer interviews into quantitative insights. You'll work closely with a founding team of former Lyft and Ro executives to pioneer the intersection of AI and user research. This is a foundational role where you will architect the core AI infrastructure and be critical to their mission of merging qualitative and quantitative research. What You'll Own In your first year, you will: • Own the development of synthetic user capabilities., • Design scalable AI pipelines to handle thousands of user interviews., • Explore and execute model fine-tuning opportunities for interview analysis and insight generation., • 4+ years of professional ML/AI engineering experience, or a recent PhD with relevant research., • Prior research experience is highly valued., • Salary: $120K - $250K, • Equity: 0.3% - 2%, • Work Policy: Hybrid setup (3 to 5 times per week in-person in NYC)., • Visa Sponsorship: Not available, except for candidates eligible for quick visas (e.g., Canadian or Mexican citizens). Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job DescriptionAbout Beam:Beam was founded in 2012 by three engineers who saw the opportunity to modernize the dental benefits industry using technology. Today, Beam Benefits is a digitally-led employee benefits company that offers dental, vision, life, disability, and supplemental health coverage. The company simplifies and modernizes the $100+ billion ancillary benefits industry through its leading dental insurance product, breadth of ancillary benefits, AI-powered underwriting, diversified distribution channels, and next generation benefits administration technologically-driven customer experience. The Role: A Sales Executive (SE) is a pivotal in-market sales role at Beam Benefits. In this role, you will establish and expand partnerships with brokerages within your territory by focusing on building and nurturing lasting relationships. Your goal is to saturate your market with Beam’s presence, working closely with brokerages that align with our Ideal Broker Profile. In some markets, you will also play a critical role in supporting Beam’s national broker partners and general agency partnerships, ensuring alignment and maximizing Beam’s value across all channels. You will use a variety of tactics (e.g., cold calling, email campaigns, web conferencing, and in-person networking) to build trust, educate brokers on Beam’s unique differentiators, and deliver exceptional value. You will be active within your market, attending events and networking opportunities to deepen relationships and expand Beam’s presence. Your success lies in developing a balanced approach—prioritizing high-quality interactions while driving volume through new proposals to win clients. Your ability to drive repeat business and create long-term strategic partnerships will contribute to your success and Beam’s growth. What Makes You Successful: You develop a long-term strategy.You focus on cultivating meaningful broker relationships and consistently aim for quality over sheer quantity both in relationships and in working your pipeline / sales opportunities. You adopt a forward-thinking mindset, always considering how to maximize value for brokers and Beam. You are adaptable to change.As part of a fast-growing company, you thrive in an agile and dynamic environment, embracing change as an opportunity to grow and innovate. You are coachable.You welcome constructive feedback and leverage resources provided by your Sales Director, Sales Enablement, and Revenue Operations to continuously improve and stay ahead of the curve. You are a team player.You actively contribute to Beam’s larger mission by executing new strategies, utilizing sales tools, and embracing talk tracks provided by Sales Leadership and Enablement. You share market insights to improve our go-to-market strategies. You are accountable.Metrics and activity tracking are tools you use to gauge success and stay aligned with goals. You see these as allies in driving both personal and team performance. You are creative.You think outside the box, bringing fresh ideas to the table and exploring innovative approaches. You maximize the use of tools and technology in standard and unconventional ways to achieve success.Joining Beam Benefits Means: • Working in a complex and dynamic business, simultaneously serving customers across employee benefits insurance product lines and growth and service channels, • Collaborating with a diversely skilled team to continuously improve, • Being empowered as an owner and expert, • Being motivated by improving how people access employee benefitsYour Impact (What You Will Do):, • Consistently meet or exceed assigned sales objectives, including monthly, quarterly, and annual booking targets, by executing the full Beam sales process, • This includes broker prospecting, broker lead generation, qualifying opportunities, scheduling appointments, delivering presentations, understanding employer benefit challenges, developing solutions and proposals, forecasting & pipeline management, and overcoming objections, • Execute Beam's repeatable sales process to rapidly develop new markets, with a focus on high-activity tactics such as emails, cold calls, and web demos, • Establish and expand strong, productive relationships with independent and regional, and national brokerage partners, quickly converting those relationships into new Beam clients, • Maintain accurate sales data to inform process improvements and create efficiencies within the team and across new markets, • Stay informed about new product and feature launches, ensuring broker partners are up-to-date and equipped to succeed, • Track and analyze activity and sales metrics to ensure alignment with goals, • Regularly collaborate with sales leadership to identify trends and ensure both your territory and broker partners are progressing toward success, • Use Salesforce to meticulously track all opportunities, leads, activities, forecasts, and related data to drive results and improve efficiency, • Minimum 20% in-market travel requiredYour Experience:, • 3+ years of B2B sales experience in a high-volume role, with channel sales experience preferred (e.g., through employee benefits brokers and/or general agencies), • Experience working in the insurance industry, ideally in dental, vision, life, disability, and/or supplemental health products, • Ability to generate and analyze reports to optimize sales performance and enhance the purchasing experience for employee benefits brokers, • Strong organizational skills combined with exceptional written and verbal communication abilities, • Ability to quickly learn new ancillary product lines and adapt to dynamic sales processes and tools, • Familiarity with Salesforce is a plusMedical sales, insurance sales, employee benefits, HR, or brokerage experience is not required but is preferred, • Requirement to secure your Life & Health license within 60 days of your start date, • A passion for developing relationships within the employee benefits broker community, with an emphasis on in-person engagement and rapport-building, • Ability to travel up to 50% of the time within your assigned territory for in-person meetings and eventsTraining and Development:, • Beam provides an in-depth onboarding program designed to set you up for success, with ongoing coaching and resources to support your growth in the role, • You’ll develop into a nimble sales researcher, highly skilled at discovery and adept at multi-threading to navigate complex sales processes effectively, • Master industry-specific communication and sales techniques to effectively identify employee benefit broker needs, propose tailored solutions, and close deals with confidence, • Gain expertise in Beam’s internal administrative tools and leverage the industry’s leading CRM platform, Salesforce, to manage your pipeline and maximize efficiency

Job DescriptionOriginally founded in 1991 as Harlem RBI, DREAM has grown to annually serve more than 2,500 youth across East Harlem and the South Bronx through a network of seven PreK-12, extended-day, extended-year DREAM Charter Schools and community sports-based youth development programs. Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom. We dream big, as well, with an aggressive five-year plan to expand to serve 3,500 students across seven schools—growing our organization’s impact and leveling the playing field for all children. To learn more, visit wearedream.org. Reporting to the Managing Director of Advancement, the Director of Major Gifts is responsible for managing philanthropic partnerships with DREAM’s individual and corporate donors. This individual will cultivate, solicit, and steward a portfolio of major donors and work collaboratively across a diverse fundraising team towards a collective goal of $21M in philanthropic annual revenue. This is a great role for an experienced fundraiser who is looking to build long-term relationships with New York City’s leading individual and corporate donors and maximize their impact. This person will have the opportunity to lead and innovate on securing new partners, while collaborating with a diverse and well-established fundraising team. Responsibilities • Strategic Portfolio Management, • Design and execute specific revenue strategies for DREAM’s major gifts program with a focus on building the major gifts portfolio, • Manage a dynamic portfolio of 100-150 individual and corporate major gift prospects, • Develop and implement tailored cultivation and solicitation strategies for each prospect; write concept notes and proposals as needed, • Conduct regular donor meetings and visits to deepen relationships and bring donors closer to DREAM’s mission, • Collaborate with the Special Events & Operations team to solicit special event sponsorships, • Ensure timely and meaningful stewardship, including writing donor reports, coordinating touchpoints from executive and Board leadership, and PR and cause marketing initiatives, • Maintain accurate and up-to-date records in Salesforce, • Pipeline Development, • Collaborate with the Prospect Researcher to identify, qualify, and cultivate new donors to DREAM, • Attend external events and conferences to expand DREAM’s philanthropic network, • With support from the Special Events & Operations team, plan and facilitate cultivation events with key corporate prospects, • Career Partnerships, • Collaborate with the Program team to identify and secure corporate partners who can provide internship and career opportunities for current DREAM students and alumni, • Support special partner initiatives, including but not limited to panels, presentations, media opportunities, and targeted volunteer events, • Leverage volunteer and employee engagement opportunities for increased engagement of corporate and individual prospects Qualifications, • Bachelor’s degree, required; Master’s degree in relevant field, preferred;, • 5+ years of direct fundraising experience cultivating and soliciting individual and/or corporate donors;, • Experience with strategic management of a major gifts portfolio, preferred;, • A high level of emotional intelligence and the ability to quickly build relationships with donors, board members, and colleagues;, • Excellent verbal and written communicator, who can inspire others to join DREAM’s mission and illustrate our impact;, • Strong team player, who works alongside other fundraisers and executives to maximize philanthropic partnerships;, • Fluid and dynamic problem-solver;, • A working knowledge of the New York City philanthropic community;, • Experience using Salesforce to manage donor activity and revenue pipeline; strong analytical skills to plan, project, and adjust revenue forecasts;, • A strong belief in the mission and values of DREAM, including the desire to make a difference in the lives of our students, families, and community.Working Expectations, • The Director of Major Gifts is part of the Advancement Team, which currently works 3 days in the office and up to 2 days remote, per week (subject to change).Benefits and Paid Time Off, • We offer comprehensive benefits including:, • Flexible Medical Health Plans, subsidizing the majority of costs for the employee, their spouse/domestic partner and children;, • The ability to select between a variety of medical plans according to what best suits the employee’s needs;, • Dental and vision plans;, • Disability benefits;, • Life insurance;, • Up to 12 weeks fully paid of Parental Leave;, • Flexible spending account options;, • Pre-tax commuter benefits (parking and transit);, • Fitness and entertainment discounts;, • A variety of support through our employee assistance program (EAP);, • 403(b) retirement plan with employer match starting at 4% after one year, with increases tied to DREAM tenure;, • Referral, performance, and tenure milestones bonuses;, • Discounted school meals through our in-house Scratch Food Program;, • Tuition reimbursement support (All FT Roles);, • Access to a professional development fund (NEST Roles);, • All full-time Network Support Team employees are eligible for approximately 48 days off throughout the year including holidays, sick days, personal days and summer Fridays., • Benefits are subject to change.Compensation

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • MSc. or PhD degree in AI/NLP, • 4+ years of experience with Python, • Good grasp of fundamentals and the state-of-the-art in AI/NLP research, • 4+ years experience developing models with machine learning frameworks such as PyTorch, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems, • Experience in Transfer Learning and learning with limited data, • Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc., • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Experience in building models in the commerce/retail domain Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an AI Researcher specializing in generative models for materials discovery at Radical AI, you will help the development of the first commercial foundation model for materials science. Your role involves pioneering the application of generative models in the field of materials science, in particular by leveraging flow matching, diffusion, and LLMs. You will develop novel models and training techniques tailored for atomistic data in materials science. Your responsibilities include designing and conducting large-scale experiments to validate the most promising approaches in generative modeling. Collaborating closely with our engineering and computational materials science teams, you will play a crucial role in transitioning state-of-the-art models from research to production. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Lead and develop our generative foundation models in materials discovery., • Work in collaboration with various teams, in particular the quantum chemistry team, the atomistic simulation team, the engineering team, and the experimental team., • Conduct large-scale experiments to validate and refine promising approaches, collaborating closely with engineers to implement these models in production., • Develop rigorous benchmarks to validate and test the performance of our models., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on deep learning and generative models., • At least 3 years of research experience in AI, with a proven track record in generative modeling, particularly in fields adjacent to materials science., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Demonstrated experience in designing and running large-scale experiments in AI and machine learning., • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Prior experience in transitioning AI research into production environments., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research., • A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.+ Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

As a Senior Researcher in the AI Frontiers lab, you will perform cutting-edge research in collaboration with other researchers, engineers, and product groups. Senior Researcher – Generative AI - Microsoft Research AI Frontiers. Senior Researcher – Generative AI - Microsoft Research AI Frontiers.

Microsoft will accept applications and processes offers for these roles on an ongoing basis. Microsoft is an equal opportunity employer. Microsoft's mission is to empower every person and every organization on the planet to achieve more.

Job DescriptionAbout OxeonAt Oxeon, relationships are the foundation of everything we build. The value we place on relationships and our ability to connect people from across the industry is what shapes every partnership, investment and introduction we make. As a mission-driven and people centered organization, we believe that the building blocks of healthcare starts with Oxeon – a place that brings together the best people and leaders in the field. This building-blocks mentality is ingrained in our logo and in who we are. We are inherently people-connectors and company builders, committed to catalyzing a better future for our industry through the relationships we forge. Derived from the Greek word for “relationships,” Oxeon is committed to uniting leaders and ideas to reimagine a healthcare system that every person can trust. About our Search FirmOxeon is healthcare’s most trusted executive search firm. Our relationships are with leading investors, entrepreneurs and executives, who we connect to grow and scale businesses transforming the U.S. healthcare system. Oxeon Search by the numbers: - 1,000+ executives placed in transformative healthcare roles - 100,000+ and growing network of executives across the healthcare continuum - Built 11 and counting early leadership teams for healthcare unicorns - 90+ Net Promoter Score client satisfaction across the entire healthcare delivery system, from Seed, to Private Equity, to Fortune 100 About our TeamOur unique business model and culture attract driven professionals who are endlessly curious and determined to make an impact. We build deeply trusted relationships with each other and our clients. This environment creates an exceptional opportunity for accelerated development — cultivating the next generation of healthcare leaders. We hold ourselves to six core values: Intellectual Curiosity, Emotional Intelligence (EQ), Ownership, Resilience, Collaboration and Spirit of Generosity. These values guide our every action — from the way we hire, to how we invest, to how we serve our clients. Perhaps most importantly, we have a lot of fun together. As part of our team, you might be asked to take over as office DJ, don a costume for Spirit Week, or teach us about your favorite hobby. We encourage laughter and celebration in our everyday work.About the Role • Being an Associate at Oxeon is a dynamic and essential role. You'll be the engine of the search process, responsible for identifying and engaging with top-tier healthcare executives and rising leaders. This position goes beyond simple research; it requires you to be a strategic partner to our clients and our internal teams. You'll learn the intricacies of the healthcare market, build a robust professional network, and directly contribute to placing leaders who will shape the future of our clients' businesses. Your success will be defined by your ability to find exceptional talent and your commitment to supporting our collaborative culture., • During your initial search allocation, you will join a team focused on mid-level hiring for a major federal client. This will give you exposure to the foundations of healthcare by developing a deep understanding of the market and its key players, help you master the skills of identifying and researching top talent, and give you the opportunity to develop relationships with candidates and clients alike. Role Responsibilities, • Research & Candidate Identification: Proactively researches and looks for market insights relevant to search to inform bucket strategy. Thinks strategically about relevant past work and marries with creative research; maps research in an organized fashion. Thinks creatively about unique clients needs and evolves research strategy in reaction to client feedback and search phase., • Outreach: Takes a relationship building approach to outreach. Is able to top grade the best candidates, and construct thoughtful and compelling messages to warrant a response from candidates. Does appropriate outreach based on client expectations (volume, experience, timing). Logs all outreach in Recruiterflow., • Network Building & Candidate Tracking: Takes thorough notes during candidate screening calls. As you make connections with candidates, you keep track and prioritize best relationships and make it a point to check in and keep the relationship warm., • Screening/Interviewing & Candidate Assessment: Quality interviewing and appropriate volume of candidates necessary to develop conviction on candidate., • Exceptional Documentation: Demonstrate meticulous attention to detail by translating interview insights into clear, well-written bios, client summaries, and other documentation. All materials should be "client-ready" with minimal need for edits., • Self Development: Commit time to developing across the following areas: Prioritization, proactive communication, time management/follow through, mentoring/teaching others prep, feedback, decision making & discretion, initiative, professionalism, coaching., • Ownership and Cultural Leadership: Take a proactive and solution-oriented approach to your work. You will contribute to process and efficiency improvements, provide constructive feedback to peers, and actively embody our core values to foster a positive and supportive team culture.Requirements for the Role, • We're seeking a highly motivated and intellectually curious individual who is ready to dive into the world of executive search. A successful Associate at Oxeon will possess the following key attributes:, • Experience & Healthcare Acumen: You have a bachelor's degree and 1-3 years of professional experience in a relevant field such as recruiting, consulting, sales, marketing, or research. Prior experience in healthcare is a plus, but not a requirement if you have a demonstrated interest and a willingness to learn. You are passionate about improving the healthcare system and increasing access to care., • Communication Skills: You are an exceptional communicator with the ability to articulate complex information clearly and concisely., • Strategic Researcher: You are a skilled researcher who can go beyond simple searches to map entire talent markets and identify top-tier prospects. Your ability to synthesize complex information will be crucial for informing our hiring strategies and preparing materials for clients., • Efficient and Proactive: You are responsible for efficiently managing your workload across multiple searches. You proactively organize your time to ensure that all tasks are completed with a high degree of quality, anticipating needs and staying ahead of deadlines., • Drive & Results: A track record of exceeding expectations and delivering strong results in both academic and professional settings is highly valued., • Intellectual Curiosity: You have a genuine interest in the healthcare industry and a desire to continuously learn. You are not afraid to ask questions and are driven to understand market dynamics and industry trends., • Adaptability & Growth Mindset: The ability to learn, teach, and persevere in entrepreneurial and high-pressure situations is crucial. You have a strong desire to be challenged, take on increasing responsibilities, and push yourself outside of your comfort zone. You are eager to learn and ready to contribute to the success of our firm., • Team Orientation: We are looking for an individual with a positive and upbeat nature who is willing to contribute to a collaborative team environment.What You Can Expect From Us, • A flexible, hybrid work model. We work together in the NYC office 3 days per week (Tuesdays, Wednesdays, Thursdays) and are flexible on Mondays and Fridays. Additionally, everyone has additional “work from anywhere” days, where they can choose to work remotely for extended periods of time., • Quality time together. We spend time together at weekly lunches, annual off-sites, and events throughout the year to build culture, laugh, foster learning and development, and deepen relationships with one another., • Competitive compensation and benefits. We offer competitive compensation, 100% employer-paid medical and dental insurance for you and your family (we are a healthcare company after all!), paid parental leave, 401k, great snacks, and a fun, flexible open-office environment., • Equity interest. We are relationship- and long-term results-oriented in all we do. We align firm and employee compensation with equity and team performance. Consistent with the shift from fee-for-service to value-based care, this approach eliminates transactions and invests us fully in the success of our clients and portfolio companies. Every Oxeon employee receives equity in Oxeon investments from day one., • Opportunity to give back. We believe in giving back to the community and helping those in need, which is why every employee is given volunteer opportunities and a generous annual philanthropic match to support causes important to them. Salary Expectations, • Base range: $92,500 - $100,000

Converting text or spoken language from one language to another. At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). Whether you're a writer, linguist, educator, researcher, or just deeply passionate a

Job DescriptionOriginally founded in 1991 as Harlem RBI, DREAM has grown to annually serve more than 2,500 youth across East Harlem and the South Bronx through a network of seven PreK-12, extended-day, extended-year DREAM Charter Schools and community sports-based youth development programs. Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom. We dream big, as well, with an aggressive five-year plan to expand to serve 3,500 students across seven schools—growing our organization’s impact and leveling the playing field for all children. To learn more, visit wearedream.org. Reporting to the Deputy Chief of Advancement, the Managing Director of Advancement is responsible for driving the strategic coordination and execution of all frontline fundraising activities. This individual will manage a team of major gift and institutional gift officers in raising $21M in philanthropic revenue. This is a great role for an experienced fundraiser who understands the interconnectedness of individual and institutional philanthropy and is adept at managing and maximizing a diverse team. Responsibilities • Team Leadership & Strategy, • Collaborate with the Deputy Chief of Advancement to develop and implement a cohesive fundraising strategy, • Provide day-to-day management for all frontline fundraising staff, • Set performance metrics and ensure accountability through regular coaching, feedback, and professional development, • Foster a collaborative and inclusive team environment, • Serve as part of DREAM’s management team and build a culture of philanthropy among colleagues, • Partner with programmatic leaders to identify funding opportunities and shape the case for support and cultivation program for prospects across streams, • Pipeline Management, • Oversee portfolios of individual, corporate, foundation, and government donors; directly review and approve solicitations for major gift donors, • Manage a personal portfolio of principal donors who require coordination across funding streams, • Maintain a cohesive and consistent donor experience by overseeing stewardship programs and donor communications, • Partner with the Senior Director of Operations to facilitate special event fundraising throughout the year, • Collaborate with the Prospect Researcher to source new donors across streams and encourage a portfolio-wide approach to qualification and cultivation, • With the Deputy Chief of Advancement and co-CEOs, support fundraising from and through the Board of Directors and AmbassadorsQualifications, • Bachelor’s degree, required; Master’s degree in relevant field, preferred;, • A track record of success in achieving ambitious fundraising goals, including raising six- and seven-figure gifts, required; 5+ years of experience, highly preferred;, • Direct experience cultivating and soliciting individual, corporate, and foundation gifts, required;, • Superb people management skills – including experience developing newer fundraising professionals and facilitating collaboration across the team, required; 5+ years of leadership experience highly preferred;, • Experience working in a community-based non-profit, preferred;, • Proven ability to achieve ambitious fundraising and/or goals both individually and and through leadership of a team, including through personally cultivating, soliciting, and securing gifts or revenue;, • A team player who can work across and up the organization to inspire and enable action;, • A high level of emotional intelligence and the ability to quickly build trust and develop authentic relationships;, • An ability to excel within a dynamic team setting;, • An exemplary reputation with stature and credibility;, • A strategic thinker with a relentless focus on improving systems, coordinating efforts, using data to drive decision making and an unwavering commitment to reaching goals;, • Proven ability for bringing together different departments within an organization to work together toward a shared vision and goals;, • A working knowledge of the New York City funding community, including its leaders and trends;, • Ability to influence and compel individuals to action to achieve objectives, both internally and externally;, • A commitment to diversity, specifically, the ability to interact professionally with dedicated Board and staff members who have diverse backgrounds, professional skills and perspectives;, • Flexibility and a proven ability to innovate and find creative solutions to challenges;, • Excellent oral and written communication skills;, • A strong belief in the mission and values of DREAM, including the belief that all students can succeed, and a deep desire to make a difference in the lives of our students, families, and community.Working Expectations, • The Managing Director of Advancement is part of the Advancement Team, which currently works 3 days in the office and up to 2 days remote, per week (subject to change).Benefits and Paid Time Off, • We offer comprehensive benefits including:, • Flexible Medical Health Plans, subsidizing the majority of costs for the employee, their spouse/domestic partner and children;, • The ability to select between a variety of medical plans according to what best suits the employee’s needs;, • Dental and vision plans;, • Disability benefits;, • Life insurance;, • Up to 12 weeks fully paid of Parental Leave;, • Flexible spending account options;, • Pre-tax commuter benefits (parking and transit);, • Fitness and entertainment discounts;, • A variety of support through our employee assistance program (EAP);, • 403(b) retirement plan with employer match starting at 4% after one year, with increases tied to DREAM tenure;, • Referral, performance, and tenure milestones bonuses;, • Discounted school meals through our in-house Scratch Food Program;, • Tuition reimbursement support (All FT Roles);, • Access to a professional development fund (NEST Roles);, • All full-time Network Support Team employees are eligible for approximately 48 days off throughout the year including holidays, sick days, personal days and summer Fridays., • Benefits are subject to change.Compensation

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. Capital One will consider for employment

Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathema

The Machine Learning Engineer will play a key role in Machine Learning Operations and will be for designing, maintaining, and optimizing data infrastructure and model validation pipelines that ensure all AI systems, Generative and Non-Generative, deployed across the Mount Sinai Health System (MSHS)

Retrain, maintain, and monitor models in production. 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

Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more. We're partnered with a cutting-edge software company that's redefining how development teams build, maintain, an

Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Retrain, maintain, and monitor models in produ

The Machine Learning Engineer will play a key role in Machine Learning Operations and will be for designing, maintaining, and optimizing data infrastructure and model validation pipelines that ensure all AI systems, Generative and Non-Generative, deployed across the Mount Sinai Health System (MSHS)

Retrain, maintain, and monitor models in production. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Capital One will consider for employment qualified applicants with a

Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more. We're partnered with a cutting-edge software company that's redefining how development teams build, maintain, an

Retrain, maintain, and monitor models in production. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Capital One will consider for employment qualified applicants with a

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match,

Retrain, maintain, and monitor models in production. 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

The Machine Learning Engineer will play a key role in Machine Learning Operations and will be responsible for designing, maintaining, and optimizing data infrastructure and model validation pipelines that ensure all AI systems, Generative and Non-Generative, deployed across the Mount Sinai Health Sy

Retrain, maintain, and monitor models in production. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Capital One will consider for employment qualified applicants with a

The Machine Learning Engineer will play a key role in Machine Learning Operations and will be responsible for designing, maintaining, and optimizing data infrastructure and model validation pipelines that ensure all AI systems, Generative and Non-Generative, deployed across the Mount Sinai Health Sy

Retrain, maintain, and monitor models in production. At least 1 year of experience productionizing, monitoring, and maintaining models. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Ex

You will have access to unique resources including Mount Sinai's genome-linked EHR biobank (the Sinai Million), AIRMS (AI-ready Mount Sinai Integrated Data and Analytics Platform), the Minerva HPC cluster, and eHive, a digital platform for wearable and real-world data collection. Contribute to maint

Retrain, maintain, and monitor models in production. At least 1 year of experience productionizing, monitoring, and maintaining models. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding crim

You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI-powered financial systems. Experience in model development (ML/ data science, AI/GenAI) within financial services or technology sectors. Solve co

Retrain, maintain, and monitor models in production. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Capital One will consider for employment qualified applicants with a

Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models. Any information that you do provide will be recorded and maintained in aconfidential file. Implementing a stable, fast version of a new training algorithm proposed by a researcher.

Retrain, maintain, and monitor models in production. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agent

To continue to move the field forward in this emerging area, we prioritize individuals who have shown excellence and creativity in their respective domains over specific domain expertise. Our team does both deep research and product development, not only building the frontier biological AI models in

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 P

Stakeholder Collaboration: Engage with engineers, business teams, and domain experts to integrate AI-driven insights into real estate analytics. A minimum of 5 years of experience in Machine Learning, AI, or Data Science. Cloud certifications related to AI/ML on Azure or equivalent.

Retrain, maintain, and monitor models in production. At least 1 year of experience productionizing, monitoring, and maintaining models. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding crim

This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. Forbes AI 50

Retrain, maintain, and monitor models in production. 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