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Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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).

Senior AI Engineer (LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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).

Lead AI Engineer (GenAI Platform Services, Python) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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).

Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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).

Lead AI Engineer (AI Foundations, Python) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead AI Engineer Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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).

Senior Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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 Description POSITION SUMMARY: RVE is seeking a water / wastewater inspector with experience in the field of water and sewer construction. The ideal candidate should be familiar with gravity sanitary main, sanitary force main, pump station and wastewater treatment plant components and operation. The individual should also be versed in water main installation, water supply distribution systems and the components and operation of water treatment plants. The individual may also inspect storm sewer systems and roadway construction. The candidate should have a minimum of 5 years’ experience in this field. They will provide construction observation and project management services for municipal and county agencies. PRIMARY DUTIES: • Perform constructability and plan reviews prior to construction. Interact with the design engineer with input before the project goes out to bid., • Perform construction management services for projects that consist of water supply and sanitary distribution systems. Including work in water and wastewater plants. Ensure the job site is maintained in a safe, neat, and orderly fashion by the contractor., • Provide inspection of contractors work to ensure that the work is being performed as per plans and specifications and regulatory requirements. Communicate with the project manager daily about the progress on the project. Keep the client informed of the project’s progress., • Attending and running pre-construction & weekly progress meetings with the client and contractor and give input on issues that arise during construction. Follow through with RFIs to maintain the project runs as scheduled and communicate with Engineering Team., • Conduct on-site observations of the work in progress to assist Engineer in determining if the Work is proceeding in accordance with the Contract Documents, both alone and/or as part of a team., • Keep a diary or logbook of all observations and daily activities for ongoing work and provide Engineer with daily reports to include all labor trades and equipment supplied by Contractor., • Review applications for payment with Contractor and confer with Engineer on recommendations for progress payments., • Be knowledgeable of NJDEP procedures and requirements for management of a project., • Perform field testing of materials installed and start-up and acceptance of equipment., • Prepare a final punch list at substantial completion and perform final project review for project closeout., • Construction and building inspectors examine worksites, both alone and as part of a team. Some inspectors climb ladders or crawl in tight spaces. Most work full time during regular business hours. KNOWLEDGE, SKILLS, and ABILITIES: • Applicant must have demonstrated experience in water/wastewater inspections., • Good communication skills, with the ability to work with others and the public, • Self-motivated, organized, and focused, with good attention to detail EDUCATION/EXPERIENCE: • Minimum of 5 years of construction observation or construction experience directly related to one of the following disciplines: water supply and distribution systems, sanitary sewer collection and water / wastewater treatment systems, and roadway construction., • High School diploma or equivalent, • Must have computer literacy in Microsoft Office and Microsoft outlook. CERTIFICATIONS/LICENSES REQUIRED • Valid Driver’s License, • NICET Certification a plus, • Traffic Control Coordinator, • NICET – Highway Construction, • ACI - Field Technician Certification, • New Jersey Society of Asphalt Technicians - Field Testing, • NJDOT - Traffic Control Coordinator, • NACE - CIP Level 1, • OSHA - 10/30, • NASSCO - Pipe Assessment, • Confined Space Training SUPERVISORY RESPONSIBILITY This position has no supervision responsibilities. The annual base salary range for this full-time position in the United States is $55,000 - $82,500. This range represents a good faith estimate and is based on factors such as the role, level, and geographic location. The range shown reflects the minimum and maximum target salaries for this position across all U.S. locations. Within this range, individual compensation will be determined based on job-related factors including skills, experience, education, and training. In addition to base salary, Remington & Vernick Engineers offers a comprehensive and competitive benefits package. Benefits include: • Medical, dental, and vision insurance, • Short-term and long-term disability insurance, • Life insurance, • 401(k) retirement plan, • Paid holidays and paid time off (PTO), • 12 weeks of paid parental leave for birthing parents, • Supplemental bonding leave for non-birthing parents in states that do not offer a paid family leave program, • Wellness program, • Tuition reimbursement At Remington & Vernick Engineers, our compensation and benefits philosophy reflects our core values - Drive, Integrity, Initiative, Respect, and Service. We celebrate achievement, encourage personal and professional growth, and believe that enjoying your work and building strong relationships with your team and clients are key to long-term success. We foster a high-performance environment that thrives on camaraderie, collaboration, and shared wins.

Job Description COMPUTATIONAL DESIGNER - SYSTEMS TECHNOLOGIST NY About Sherwood Design Engineers Sherwood is a civil and environmental engineering firm that is committed to investing in and embracing people, communities and the environment. Our team has delivered net zero energy and net zero carbon systems, net positive water systems, resilient coastlines, natural resource protection, green streets, living roofs and more for thousands of clients in the region and across the globe. We specialize in sustainable infrastructure, water management strategies, green building design, and systems based solutions for infrastructure and landscapes. Our focus is on the conservation and management of the consumption of all site resources — carbon, energy, water, and waste. We’ve worked on over thirty award-winning projects, and our work has been published locally and internationally. Founded in 2003, our award-winning projects include Hudson Yards in New York (the largest private real estate development in U.S. history), San Francisco Better Streets Plan, Greater New Orleans Urban Water Plan, revitalization of the iconic waterfront Brooklyn Bridge Park, and the 35 square-km Baietan Urban Area Plan in the heart of Guangzhou, China. Our mission is to engineer an environmentally and socially regenerative planet. Will you join us? Role Summary We are seeking an innovative and technically skilled Systems Technologist to join our multidisciplinary team specializing in Design, Civil Engineering, Ecology, and Hydrology. You’ll play a central role in building a new kind of environmental intelligence system—one that senses, learns, and responds. This role leads the technical development of systems that gather, process, and visualize environmental data, directly supporting impactful design and engineering solutions. We know this is not a conventional software or control systems job, and we hope you are as excited as we are about that. If you enjoy pushing technology boundaries to create smarter, more responsive ecological and infrastructure systems, we’d love to have you on our team. Minimum Skills • Bachelor’s degree or higher in Electronics, Wireless Communications, Mechanical Engineering, Computer Science, or a related field., • 5+ years of experience in IoT systems, sensor networks, or data pipeline development—ideally within AEC, urban systems, or environmental contexts. Demonstrated expertise in rapid prototyping and solution architecture for environmental sensor networks., • Familiarity with cloud services (Firebase, AWS, Azure, GCP, Supabase) and IoT protocols (LoRaWAN, MQTT, WebSockets), and environmental sensing devices., • Familiarity with API development, RESTful services, and real-time data handling., • Hands-on prototyping and testing experience with sensor devices, including single-node or small swarm sensor-node prototypes, • Passion for ecological intelligence, environmental data, and hyper-performance urban systems., • Proactive, experimental mindset with the ability to navigate ambiguity and shape early-stage systems., • Design and solution-architect IoT-based sensor networks for environmental monitoring and infrastructure performance tracking; oversee development and maintenance of sensor-to-digital-twin data pipelines (IoT inputs → cloud/backend → real-time visualization) from internal teams and consultants., • Develop IoT Integration Plans for environmental/ecological intelligence masterplans and sensor-network strategies for campuses or large-scale infrastructure developments; produce clear technical reports and documentation on sensor networks, digital twins, and environmental intelligence applications., • Collaborate closely with engineers, ecologists, and hydrologists to define sensor requirements, data collection methods, and system integration approaches., • Interface and coordinate with control systems engineers for integration into broader building and site management systems., • Own a part of the firm with ESOP eligibility after one year, • Flexible working - with every other Friday off, • Competitive Health plans, including PPO and HMO options, Dental and Vision plans, • Learning and Development stipend to use as you see fit, • Generous PTO and 8 paid holidays, • Automatic 401k enrollment, • Fun team events, lunches and happy hours to get to know colleagues outside of work The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Sherwood Design Engineers, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $78,000-$181,000. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Reasonable accommodations may be made to individuals with disabilities to perform the essential functions. We will consider for employment qualified applicants with arrest and conviction records. Powered by JazzHR ff2bCwokRI

Job Description Gellert Global Group consists of many of the leading North American food importing companies (Atalanta Corporation, Camerican International, Finica, Tipico Cheese Products) and has been importing food products for over 100 years. The combined revenues of GGG exceed $1.7 billion. GGG companies provide strength in sourcing, insurance, finance, logistics, food safety, and information technology, and supply the needs of retailers, distributors, food service chains, hotels, cruise lines, and food manufacturers alike. Summary/Objective: The IT Senior Security Engineer is an autonomous contributor within a dedicated analyst team, tasked with identifying and managing a range of cyber security incidents, varying in complexity. This role is a vital member of the IT Infrastructure team, providing support to a global business with a revenue of USD$1.7 billion across multiple locations. The position carries the overarching responsibility of ensuring information security, practicing governance and assurance, and implementing data loss prevention strategies throughout the Gellert Global group. Our team leverages extensive expertise and a profound understanding of the business to instill confidence in all company associates, investors, and customers. The ideal candidate possesses a background in identifying and managing network and endpoint security incidents. The incumbent must possess the ability to independently address moderately complex issues and discern when escalation to management is necessary. They will engage with various technology platforms and collaborate with other teams within IT Security Operations, offshore partners, as well as additional technology and business functions. Responsibilities: • Prioritize and promptly address alerts to minimize potential security impact on corporate assets., • Handle escalations from our managed security services provider with diligence and expertise., • Foster effective communication with the user community, providing support for their IT security needs., • Adhere to established runbooks for daily tasks while proactively proposing process and documentation enhancements., • Advocate for proactive technology measures to mitigate security risks., • Contribute to incident response procedures, actively participating in the development of playbooks and tabletop scenario exercises., • Propose innovative monitoring and alerting use cases to enhance visibility and coverage of the attack surface., • Bachelor’s Degree or equivalent in cyber security, information technology, or related field., • At least 5 years of dedicated hands-on experience in IT Security environment or equivalent, • MFA or similar experience is required., • KnowBe4 or similar experience is required., • Carbon Black EDR EPP or similar experience is required., • Microsoft Defender and Entra ID or similar experience is required., • ConnectWise Patch Management or similar experience is required., • Splunk SIEM and SOAR or similar experience is required., • Rapid7 InsightVM or similar experience is required., • ProofPoint Email Gateway or similar experience is required., • Annual Penetration Test and mitigation actions are required., • Excellent aptitude for problem solving and IT Security., • Strong written and verbal communication skills., • Hands-on knowledge and skills of tools and products used in day-to-day performance., • Understanding of IT infrastructure concept in Azure, AWS, Cisco, Microsoft, Citrix, Oracle, SQL, etc., • Understanding of network concepts and protocols (such as AD, DNS, LDAP, SMTP, FTP, etc.), • Demonstrated knowledge and understanding of information technology industry trends and emerging technologies and an ability to relate them to the company and its objectives, • Familiar with IT Regulations, PCI/Sarbanes-Oxley/ Privacy laws, • Certificates such as GCIA, GCIH, GCFA, CISSP considered a plus, • Ability to Work flexible hours and weekends to meet business/customer needs., • Ability to explore fast and creative workarounds under urgent and high-pressure situations., • Internal: Develop and maintain positive professional relationships team members (including contractors), all-level group colleagues including office and field personnel, executive team, customers and vendors., • External: Develop and maintain positive professional relationships with contractors, vendors, 3rd party providers, customers via sales contacts, • The individual must occasionally lift and/or move up to 25 lbs., • Ability to perform computer responsibilities., • While performing the duties of this job, the employee is frequently required to stand, walk and sit., • The employee must have use of hands to finger, handle or feel objects, tools, or controls; reach with hands and arms; speak and hear., • Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and the ability to adjust focus. Our Benefits We care about your total well-being and will support you with the following, subject to your location and role. • Health: Medical, dental and vision insurance, Company-paid life, accident and long-term disability insurance, flexible spending accounts, • Wealth: Competitive pay, annual bonus opportunity, matching 401(k) with immediate vesting upon enrollment, generous employee referral program, • Happiness:, • Professional Growth: Online training courses, virtual and classroom development experiences, education assistance program, • Work-Life Balance: Paid-time off, parental leave, flexible work schedules (subject to your location and role) PIce99bf817843-25405-38461390

Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it. From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for. The Role This is a founding Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our ___. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development. This role will directly impact our product's core and shape the future of AI-driven leadership coaching for Fortune 500 enterprises. About Valence We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a who's who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myer \n What You'll Do • You will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready., • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals., • Work with the product team to analyze user behavior and prioritize evolving requirements., • Experiment at a high velocity, conducting statistical analyses, to optimize the end user experience, • Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements., • Documentation of models, prompts, and processes to increase replicability and drive quality improvements., • Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI, • Support other coding and feature development where required What We're Looking For • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience, • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field), • Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval, • Strong foundation in data structures, algorithms, and software engineering principles., • Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM), • Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services., • Strong analytical and problem-solving skills, • Experience structuring and running data-backed experiments, • Strong written and verbal communication skills, • Exposure to early-stage startups, preferably B2B SaaS What You'll Get • Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment., • Strong ties to the executive team, a culture of transparency and engagement with strategic decisions., • Options from day one, which means you will be on the ownership track right away., • Competitive salary and equity packages., • Comprehensive health coverage (medical, dental, and vision) from day 1., • Provision of anything you need to be successful - learning tools, hardware, office equipment, software., • 401k optionality for US based employees, • Generous PTO, company-wide R&R shutdowns and paid leave for parents., • A WFH stipend, phone stipend and support to work in a We Work or other space as preferred. \n Location and Work Environment If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at . #LI-HYBRID

Aircall is a place where voices are valued. Backed by over $220 million of investment since 2015, we create technology that fuels accessible, transparent and collaborative communication to empower our base of 20,000+ customers (and growing) to make authentic, human connections. Conversation is a cornerstone of our culture. Wherever our people find themselves in the Aircall world – Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, or at home – everyone has a voice that is valued. Whatever your background, wherever you’re from – we want you to join the conversation. Let’s talk. We are building the future of communication and we would love for you to be a part of it. About the role: We are looking for a passionate and experienced data engineer to join our team and contribute to Aircall’s rapid growth. As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure. This role offers the unique opportunity to be at the forefront of our engineering efforts to develop and optimize the technologies that will scale our business via enhancing the customer journey. Collaborating with teams across the company, you will leverage your technical skills to solve complex challenges, improve operational efficiency and lead our business towards its strategic goals. \n Your mission @ Aircall: • Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases., • Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality., • Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations., • Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines., • Participate in code reviews to ensure code quality and share knowledge., • Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure., • Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics., • Mentor junior members of the team, providing guidance and support in their professional development., • Collaborate with data scientists, analysts and other stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration A little more about you: • Bachelor's degree or higher in Computer Science, Engineering, or a related field., • 5+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure., • Proficient in SQL and Python, with the ability to translate complexity into efficient code., • Experience with data workflow development and management tools (dbt, Airflow)., • Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure., • Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues., • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment., • Experience with data tooling, data governance, business intelligence and data privacy is a plus. \n$120,000 - $220,000 a yearThis is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.\n Aircall is constantly moving forward. We’re building new roads to complete our journey, and we’re taking people with us who have the same builder mentality. Let’s grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights. We’re creating a place where great people trust one another and thrive together. People flourish at Aircall and now is the time to be part of the team and the journey we’re on. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💵 Competitive salary package & equity 🏨 Medical, dental, and vision insurance is 100% covered 📈 401k plan with company matching! ✈️ Unlimited PTO — take the time you need to come to work feeling great! ⭐️ Wellness, commuter, and childcare reimbursements 💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our ___ Want to know more about candidate privacy? Find our

About Norm Ai Norm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities. We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in assets under management, and growing quickly. Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA. We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff. This Role As a Cloud Infrastructure Engineer at Norm Ai, you will architect and build a reliable, scalable, and performant infrastructure for our rapidly evolving AI-driven compliance platform. You will drive key infrastructure initiatives including advancing our Infrastructure as Code practices, implementing our multi-cloud strategy, and enabling diverse enterprise deployment scenarios. You will work closely with our software engineering and product teams to deliver enterprise grade software solutions to the world's largest regulated institutions. You will contribute to strategic discussions around our infrastructure, bringing insights and recommendations to drive our technology decisions and product evolution. This role will bring dedicated expertise in Azure to support our ongoing buildout and expansion into Microsoft’s cloud ecosystem, complementing our existing AWS and GCP cloud infrastructure. In this role, you will: * Lead the design and implementation of our multi-cloud strategy across AWS, GCP, and Azure with cloud-agnostic Infrastructure as Code * Support Azure infrastructure buildout efforts in collaboration with the broader infrastructure team, including networking, identity, and resource architecture * Architect flexible deployment patterns to support on-premises, hybrid, and air-gapped customer environments * Drive Infrastructure as Code best practices and governance across the engineering organization * Implement fault-tolerant and resilient design patterns to minimize service disruptions * Build and maintain automation tools and CI/CD pipelines to streamline processes and improve reliability * Create systems to support a growing set of enterprise requirements on our platform, including robust permissioning, authentication, logging, and auditability * Implement monitoring systems to proactively identify issues and anomalies in production * Work closely with customer engineering teams to enable rapid adoption of Norm Ai solutions Skills & Experience - Core * 6+ years of hands-on infrastructure engineering experience at technology companies, with significant time spent on complex, large-scale systems * Deep expertise in Infrastructure as Code with Terraform, including advanced patterns like modules, workspaces, and state management across multiple cloud providers * Proven experience architecting and implementing multi-cloud strategies with practical knowledge of cross-cloud networking and identity federation * Experience designing infrastructure for diverse deployment scenarios including air-gapped, on-premises, and hybrid environments * Strong foundation in computer science fundamentals - we're looking for engineers who understand systems at a deep level, not just cloud services * Comfort navigating enterprise requirements and API integrations * Proficiency in Python and experience with complex data storage architectures beyond basic CRUD operations * Experience designing and maintaining CI/CD pipelines using tools like Github Actions Skills & Experience - Pluses * Experience in AI/ML infrastructure and tooling * Experience building infrastructure for highly regulated industries with complex deployment requirements * Background in distributed systems architecture and cross-region/cross-cloud data replication * Experience with configuration management tools (Ansible, Salt) for hybrid deployment scenarios * Familiarity with serverless architectures * Experience with enterprise security and compliance standards such as SAML, SSO, SEC Rule 17a-4, etc. * Microsoft Certified: Azure Solutions Architect Expert What Success Looks Like * Norm Ai Integration: Rapidly familiarize yourself with Norm Ai's existing infrastructure, architecture, and the unique challenges of our AI-driven compliance solutions * Multi-Cloud Infrastructure Validation: Conduct comprehensive testing and validation of our multi-cloud deployment capabilities, ensuring feature parity across providers and identifying application-level changes needed for cloud-agnostic operations * Cross-Provider Compatibility: Resolve platform-specific dependencies and implement abstraction layers to enable seamless operation across different cloud environments * Cross-Account Infrastructure & Data Controls: Design and implement infrastructure patterns that enable secure cross-account connectivity and flexible data control models, supporting customer requirements for data residency and account separation * Flexible Deployment Models: Deliver solutions for diverse customer deployment scenarios including customer account deployments and hybrid infrastructure configurations * Multi-Cloud CI/CD: Establish deployment pipelines that support consistent, reliable deployments across multiple cloud providers and customer infrastructure models * Strategic Infrastructure Roadmap: Develop a comprehensive plan for scaling our infrastructure capabilities to meet growing enterprise requirements and deployment complexity Comp & Benefits $175,000-$250,000 a year plus equity The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant. We embrace a flexible hybrid model, typically in-office 3–4 days per week. If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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, 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 ML engineer 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 • BSc. degree in Computer Science or related fields, • 3+ years of experience with Python, • 3+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch, • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • MSc. degree in Computer Science or related fields, • Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data, • Experience with building models in the commerce/retail domain, • Working knowledge of Scala 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 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 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___ Annual Salary Range: $40K-$200K

Genesis10 is currently seeking a Tandem Software Engineers for a 12 month contract role with our client in New York, NY. This role is 100% remote. Description: We are looking for a Software Engineer to join our client's Core Acquiring Front End engineering group within the firm's Global Business Solutions (Payment Acceptance) business. You will be joining an organization responsible for mission critical platforms that support our payments acquiring business. We process over 350 million payment transactions per day with a peak throughput of over 8,000 transactions per second all while maintaining millisecond fast response time. All this is done for some of the largest merchants in the US. This fast-paced online transaction processing environment requires a passionate critical problem solver who can balance platform stability and resiliency along with modern engineering practices and solutions. Primary Responsibilities: • Hands-on software engineer on an online transaction processing (OLTP) application based in C and TAL on the Client NonStop platform • Delivers quality code to integration testing, certification, and production environments • Automates testing and deployments through CICD processes (plays QE role as necessary) • Responsible for design, build and support of aligned application(s) or platform(s) • Own tech stories, participates in code reviews, and supports production • Design performant, efficient, effective, and reusable technical solutions • Partner effectively with DevOps, Production Support, and peer platform teams Basic Qualifications: • Bachelor's degree in computer science, engineering, or equivalent work experience • Ability to clearly communicate with peers and senior leaders • 7+ years of experience in software engineering roles (C, TAL) • Experience with Enscribe, Pathway, DDL, SQL/MP • Experience in Payments processing • Experience engineering OLTP applications Preferred Skills and Experience: • Experience in SQL/MX, OSS • Experience building solutions in public cloud (AWS, Azure, GCP) Compensation: Hourly W2 pay: $60.00 to $70.00/hour We have access to additional contract, contract-to-hire, and direct hire positions with various rate ranges. If you have the qualifications described and are interested in this exciting opportunity, apply today! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year—in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) Remote opportunities available For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Role

We the people (and the taxpayers) deserve efficient government — but the software powering government services is 20 years behind the private sector. GovWell builds software that helps government serve communities better. Founded in 2023, GovWell now powers critical services for municipalities and counties in 20 states serving 800,000+ residents. GovWell has raised $5.5 million from Work-Bench and Bienville Capital. Read about us in ___. Our mission is deeply personal for us. ___, CTO and Co-Founder grew up helping his father — a general contractor — to apply for hundreds of construction permits. Ben’s experiences navigating clunky government websites inspired him to build better solutions for the millions of tradespeople whose livelihoods depend on getting permits fast. Prior to founding GovWell, Ben worked for Uber and Amazon as a Software Engineer, and earned his AB in Computer Science summa cum laude from Princeton. ___, CEO and Co-Founder, was previously the first employee and Chief of Staff to the CEO at RippleMatch, a software startup, helping it grow from $0 to $10M in annual revenue and a $200M valuation over 5 years. Before RippleMatch, he worked for two U.S. senators from his home state of Wisconsin. Troy earned his BA in Government magna cum laude from Cornell. * Impact at scale: Every feature you ship directly improves government services for hundreds of thousands of residents. From permitting small businesses to accelerating affordable housing developments, your work will make an immediate difference. * A mission that matters: Fixing outdated government systems isn’t just a technical challenge—it’s a chance to improve lives. Your contributions will help governments work better for people who rely on them every day. * A front-row seat to a startup in hyper-growth: As an early team member, you’ll learn what it takes to scale a company from the ground up. You’ll work closely with the founders, shape the culture, and leave your fingerprints on the product. Click on the links for some sexy product demos :) * Building a ___ that is powerful and easy to use, but flexible enough to accommodate the unique processes of 80,000+ government agencies in the United States (think: Salesforce for governments). Today, GovWell is used to process permit and license applications for everything from new affordable housing developments to small business licenses. * Enabling a Figma-style ___ that helps governments easily collaborate to review, mark up, and approve technical documents such as building and development plans. * Developing a flexible and powerful ___ to automatically generate official documents including permits and licenses for thousands of unique processes (think: Canva for documents). * Creating a ___ that makes it easy for citizens to pay billions in annual permit/license fees, property taxes, and utility bills online. Meet ___, engineer #1 and owner of our backend service. Meet ___, engineer #2 and owner of our frontend repository. Meet ___, engineer #3 and owner of everything DevOps and infrastructure. Meet ___, engineer #4 and owner of data engineering and data migrations. * ___ as our fullstack framework provides a modern, integrated development experience. * React and TypeScript power our front-end, enabling seamless user interfaces and strong type safety. * TypeScript and Node.js drive our back-end, delivering scalability and performance. * GraphQL connects our front-end and back-end, facilitating efficient, flexible data communication. * AWS to power our infrastructure * PostgreSQL to run our database * 4+ years of frontend development * You've built a frontend system from scratch, knowing the intimate details of how data flows to/from every section of the system. If most of your experience is in writing simple display components in React, this role is likely not right for you - but check back in a year! * You are a frontend engineer who loves building products that real people use every day * You’d rather have a challenging adventure than “rest and vest”. You are excited about quickly responding to customer feedback with feature updates. * You're motivated by having a positive impact in the world * You have a strong product sense and customer-focused mindset * You align closely with our ___ and have passion for our mission Compensation within the posted salary band will be commensurate with experience. All offers will include: * Competitive salary + meaningful equity * Up to 100% of premiums paid by GovWell for medical, dental, and vision insurance for yourself + partner * Unlimited / flexible PTO * 401(k) program GovWell is an Equal Opportunity Employer, meaning that we do not discriminate based upon race, religion, national origin, gender identity, age, sexual orientation, or any other protected class.

Senior Software Engineer 📍 Williamsburg, Brooklyn, NYC | Full-Time | On-Site About the Role: This role is being managed by Talent Stack LLC, a woman-owned recruiting firm specializing in cleared and technical placements. We are proud to represent a confidential, high-growth client that is transforming the future of digital advertising at the intersection of AI, creators, and brands. We’re seeking a Senior Software Engineer to join the company’s NYC team full-time, in person. As a foundational engineer, you’ll work closely with the founders to design, build, and ship new features every week—from the first lines of code to production. You’ll own meaningful technical decisions and tackle challenges across marketplace design, multimodal content understanding with large models, and campaign optimization. This is a rare opportunity to join early at a generational company and directly shape the future of digital advertising. What You’ll Do: • Design, build, and launch new user-facing features across the full stack (React/Next.js, Python/Django, Postgres), • Collaborate directly with founders to drive product direction through technical decisions, • Ship code weekly with speed and precision in a high-growth startup environment, • Solve complex engineering problems in distributed systems, content understanding, and marketplace optimization, • Contribute to a product-first culture where design and user experience matter deeply What We’re Looking For • 5–12 years of professional software engineering experience, • Experience building user-facing products (not just internal tools or infrastructure), • Strong full stack skills: React/Next.js (frontend) + Python/Django/Postgres (backend), • Proven track record at top tech companies (Meta, Google, Spotify, Airbnb, Pinterest) or high-growth startups with strong engineering cultures, • Formal Computer Science degree (BS/MS) or equivalent, • Strong product and design sense with the ability to translate polished UX into code, • Clear evidence of career progression (promotions or increasing responsibility), • Experience with large-scale distributed systems or high-performance computing, • Background in marketplace or advertising technologies, • Opportunity to join early at a high-growth, VC-backed startup, • Work on cutting-edge challenges at the intersection of AI, creators, and digital advertising, • High ownership and autonomy—your work will directly shape the product and company trajectory, • Collaborative, product-first culture in a fast-paced startup environment Compensation: $150K–$225K base salary + competitive equity package On-Site Work Policy: In-person, Williamsburg, Brooklyn (no remote/hybrid) Benefits: comprehensive healthcare - medical, dental, and vision 401K plan Paid lunch 3 days/week $100 monthly allowance to spend on the company's brand clients

Job Description Job Title: Roadway Worker In Charge (RWIC) Location: New York, NY Job Type: Full-Time and Part-Time FLSA Status: Hourly; Non-Exempt Reports To: District Manager Travel: Yes, travel is expected for this position (50% - 85% on average). Supervisory Responsibility: No Compensation: Negotiable, based on skills and experience. Company Profile: National Railroad Safety Services, Inc. (NRSS) is a certified DBE/WBE firm primarily focused on providing safety services to the railroad industry. NRSS is the most trusted name in the railroad industry for providing qualified field safety staff and safety training. To best serve the railroad industry, NRSS provides all of these services in the continental United States, Canada, and Mexico. NRSS has the proven ability and the proven safety record to handle any project. Find the safety you have been missing today! Job Description: National Railroad Safety Services, Inc. (NRSS) is seeking a Roadway Worker In Charge (RWIC) to support railroad flagging services for Class 1 Railroads, Regional Short Lines, Transit Systems, State DOT's, as well as Railroad Suppliers, Contractors, and Consultants alike. Required Education: High School Diploma or Equivalent. Required Experience: Minimum 2 years of experience with a Class 1 Railroad, Regional Short Line, Transit System, State DOT Rail Division, Railroad Supplier, Railroad Contractor, and/or Railroad Consultant; preferably within the Maintenance Of Way (MOW) Department. Key Success Factors: • Accountability: Accept full responsibility for self and contribution as a team member., • Adaptability & Flexibility: Ability to consider a variety of issues that exist in the work place and change from one task to another as necessary., • Analytical Thinking: Ability to analyze and synthesize information to understand issues, identify options, and support sound decision making., • Attention to Detail: Ability to work in a conscientious, consistent, thorough manner, and attend to details while pursuing quality when accomplishing tasks., • Communication: Ability to clearly convey information and ideas through a variety of media to employees/clients in a clear and succinct manner., • Customer Service Focus: Ability to provide service excellence to internal and/or external clients., • Decision Making: Ability to identify/understand issues, problems, opportunities and take appropriate action based on available facts, constraints, and probable consequences., • Initiative: Ability to identify what needs to be done and take action before being asked., • Innovativeness: Ability to devise new plans for quality excellence., • Knowledge: Ability to navigate various rulebooks and/or regulations and demonstrate mastery., • Organization: Ability to maintain materials and/or records in a clean and ordered manner., • Planning: Ability to plan and prioritize work load to manage time effectively and accomplish assigned tasks., • Stress Tolerance: Ability to maintain stable performance under pressure or opposition (such as time pressure or job ambiguity)., • Teamwork: Promote cooperation and commitment within a team environment to achieve goals and deliverables., • Proficient computer skills in basic email, phone, and text message applications., • Proficient computer skills in Android OS; on tablet & smart phone., • Proficient computer skills in Citrix Applications., • Strong oral and written communication skills., • Strong technical knowledge in Railroad Engineering, Railroad Design, Railroad Construction, and Safety., • High level of accuracy and attention to detail; well organized., • Demonstrated ability to develop and maintain strong client relationships., • Ability to travel for extended periods of time; sometimes month(s) at a time., • Provide jobsite coordination., • Provide clear and concise communication with Dispatchers, Train Crews, other Railroad Personnel, and/or Contractor personnel., • Provide clear, concise, and thorough job briefings with all personnel on each job site., • Enforce all Railroad, State, and Federal Policies., • Identify rule violations and resolve in accordance with Railroad, State, and Federal Policies., • Enforce Contractor training requirements., • Submit daily field reports detailing Contractor and/or Railroad activities. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. • Must be able to hear, speak, read, and write clearly in English., • Must be able to drive long distances and/or travel by other modes as necessary., • Must be able to stand for long periods of time and/or walk on level/uneven ground., • Must be able to see up close, distances, colors and have use of peripheral vision and depth perception., • Must be able to tolerate extreme heat/cold temperatures., • Must be able to tolerate dusty/noisy conditions., • Medical, Dental, Vision, Life Insurance, • Short Term, Long Term Disability Insurance, • Paid Vacation and Holidays Safety Commitment: All employees of all levels are to remain committed to safety at all times while employed at National Railroad Safety Services, Inc. (NRSS). As such, no job is so important and no service is so urgent that we may not take time to perform all work safely. Simply put, safety is our way of life. By placing safety first, we not only ensure the wellbeing of our employees, customers, and communities, but we hold true our commitment to being the leader in safety throughout the Railroad Industry. Closing Statement: National Railroad Safety Services, Inc. (NRSS) is an Equal Opportunity/Affirmative Action Employer. Any candidate selected for this position must be able to successfully pass pre-employment/recurrent background checks, drug/alcohol testing, and classroom training. Job Posted by ApplicantPro

Job DescriptionBenefits: • Pension - Local 3 Union, • 401(k), • Dental insurance, • Health insurance, • Paid time off, • Vision insurance, • Preferred experience with AUTOCAD drawings and programming., • Preferred knowledge of the Trumpf Machine., • Ability to design, reverse engineer and troubleshoot., • Demonstrate time management skills to oversee ongoing projects from conception to completion., • Strong computer skills.

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. Architect and develop scalable, production-grade Machine Learning (ML) models and services. Take ownership of end-to-end development from data collection and model training to deployment and monitoring. Work closely with cross-functional teams, including product managers, data engineers, and software engineers, to define ML requirements and implement solutions that meet business objectives. Conduct advanced machine learning research to evaluate new algorithms, frameworks, and tools. Stay ahead of industry trends and bring innovative solutions to the team, contributing to the evolution of AI and ML capabilities within the company. Develop and implement methods for evaluating and optimizing the performance of ML models, ensuring robustness, scalability, and efficiency in real-world applications. Partner with leadership and product teams to influence the product roadmap and integrate AI-driven features into products, ensuring they align with the company’s strategic vision. Work on complex, ambiguous technical challenges and apply your expertise in ML techniques to craft innovative solutions that address both short-term needs and long-term scalability. Create systems to monitor the performance of ML models in production, and lead efforts to troubleshoot and resolve issues as they arise. Provide mentorship to junior and mid-level engineers, offering technical guidance and fostering a culture of knowledge-sharing. Lead code reviews and help establish best practices in ML development and deployment. Telecommuting may be permitted. When not telecommuting, must report to 199 Lafayette St, Ste 3B, New York, NY ___: $169,541 - $192,216 per year. MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Data Science, Software Engineering, Electrical Engineering, or a related field, plus 5 years of professional experienceas aData Scientist, Machine Learning Engineer, or any occupation/position/job title performing software engineering using Python and SQL. In lieu of a Bachelor’s degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Data Science, Software Engineering, Electrical Engineering, or a related field, plus 3 years of professional experience as a Data Scientist, Machine Learning Engineer, or any occupation/position/job title performing software engineering using Python and SQL Must also have experience in the following: 2 years of professional experience utilizing Machine Learning to analyze data; 2 years of professional experience using Machine Learning models, Machine Learning problem framing and best practices, and Natural Language Processing; 2 years of professional experience working with cutting edge AI, including Large Learning Models; 2 years of professional experience conducting ML-driven research to help influence product roadmaps; 2 years of professional experience building personalized recommendation systems utilizing computer vision, natural language processing, or ranking; 2 years of professional experience utilizing machine learning libraries and deep libraries (including scitkit-learn, numpy, pandas, scipy, TensorFlow, SQL, Hive, or Spark) to access and analyze data; 2 years of professional experience innovating and improving upon algorithms and methodologies in search and personalization. Please send your resume to: . Please specify as code RODCWhy Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people’s lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

About Fundwell: Fundwell is a modern business financing platform redefining how small and medium-sized businesses access capital. We deliver fast, trusted funding solutions through a combination of cutting-edge technology and personalized service. We are on a mission to help businesses thrive by simplifying and accelerating the financing process. Role Overview: We’re seeking a talented AI/ML Engineer to join our growing technology team. In this role, you will design, develop, and deploy AI and machine learning models that power our automated underwriting engine. Your work will directly impact how we evaluate risk, assess creditworthiness, and provide faster funding decisions to our customers. Key Responsibilities: • Develop, train, test, and deploy machine learning models to automate and optimize the underwriting process., • Analyze large financial and business datasets to extract meaningful insights and improve model performance., • Work closely with our engineering and data teams to integrate models into production systems., • Continuously monitor, maintain, and refine models to ensure accuracy, fairness, and compliance., • Research and apply advanced techniques in natural language processing, computer vision, or other relevant areas to enhance our underwriting capabilities., • Communicate findings and recommendations to cross-functional stakeholders in a clear and actionable way. What We’re Looking For: • Strong experience building and deploying machine learning models in production environments., • Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch., • Solid understanding of statistical modeling, feature engineering, and model evaluation techniques., • Experience working with large datasets; familiarity with Salesforce objects and cloud data platforms such as BigQuery is a plus., • Knowledge of financial services, credit risk modeling, or lending is a strong advantage., • Collaborative mindset and excellent communication skills. Why Join Fundwell: • Work on meaningful problems that help real businesses grow., • Be part of a supportive, innovative team that values curiosity and impact., • Competitive compensation, benefits, and opportunities for growth in a fast-scaling fintech company.

✍🏽 About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work. Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work. 📐 About this role As a Customer AI Engineer at Writer, you'll play a critical role in developing and building complex prompts, applications, and agents to support our most important customers. You'll work closely with our Customer Success team both to determine how best to take the input data we receive from our customers and use it to produce first-rate content using our proprietary Palmyra family of models. You'll also ensure customer content aligns with their style and formatting requirements. Your expertise in Python, dataset curation, prompt design, and linguistics will be crucial to growing and maintaining Writer’s relationships with its customers. You'll initially report to our VP of Technical Delivery. 🦸🏻‍♀️ Your responsibilities: * Base Prompt Design and Iteration: Create and optimize base prompts that will be used to supercharge our customers’ content creation pipelines. * Linguistic Expertise: Utilize your understanding of linguistics to craft search patterns used to enforce customer formatting guidelines in their content. * Prompt Chain Design: Collaborate with the team to design, develop, and evaluate prompt chains for specific content creation tasks. * Technical scoping: Work with stakeholders in Customer Success and with our customers to scope projects and define best practices for using what you create. * Documentation: Maintain clear and comprehensive documentation of prompt engineering processes and outcomes and share innovative techniques with the team * Cross-functional Collaboration: Collaborate with engineering team members to integrate your prompt engineering work seamlessly into our product. ⭐️ Is this you? * Bachelor's degree or higher in Computer Science, Linguistics, or a related field * Solid coding proficiency using Python. * Professional experience in prompt design and a deep understanding of linguistic principles. * Expertise working with search patterns for morphology and word patterns. * Proven experience in designing, developing, and evaluating base prompts. * Knowledge of natural language processing and machine learning concepts is a plus. * Excellent communication and collaboration skills. * Problem-solving mindset and a passion for working on complex challenges. * Attention to detail and the ability to work independently and as part of a team. * #LI-Hybrid Curious to learn more about who we are and how we operate? ___ Curious to learn more about who we are and how we operate? 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. At NBCUniversal, customer experience is at the forefront of everything we do. To help us build functional systems that improve the customer experience, we’re looking for a DevOps engineer who can be responsible for building from scratch and deploying CI/CD infrastructure, as well as AWS-based cloud processing. The ideal candidate will have a solid background in software engineering and be familiar with C++, Python, and Bash scripting and will work with developers and engineers to ensure that software development follows established processes and works as intended. They will also help plan projects and be involved in management decisions. Infrastructure & Automation • Design, build, and maintain scalable infrastructure and development tools, primarily in AWS., • Implement and enforce security best practices, patch vulnerabilities, and ensure regulatory compliance., • Manage Test, Staging, and Production environments to support development and deployment workflows., • Monitor system performance, availability, and cost; implement observability tools and alerts., • Work closely with developers and stakeholders to align infrastructure with project goals., • Maintain comprehensive documentation for systems, processes, and troubleshooting procedures., • Develop and implement disaster recovery plans, including runbooks and contingency strategies., • 5+ years as a DevOps engineer or in related software engineering roles., • Solid understanding of DevOps principles, including CI/CD, infrastructure as code, and continuous feedback., • Hands-on experience with CI/CD tools (such as GitHub Actions, Jenkins) and Git-based workflows (such as Git, GitHub, Perforce)., • Proficient in C++ and Python; experience with Spack for C++ pipelines is a plus., • Strong AWS experience (IAM, EC2, S3, Lambda, CodeDeploy, Cloud NAS, CDN)., • Bachelor of Science degree (or equivalent) in computer science, engineering, or relevant field., • Solid experience in software engineering., • Experience in developing/engineering applications for a company., • Strong problem-solving, communication, and collaboration skills., • Experience with deploying and scaling infrastructure in cloud environments., • Experience with REST APIs and tools like Swagger., • Experience with configuration management tools (Ansible, Puppet, or Chef)., • Knowledge of build systems (CMake, CPack). We are accepting applications for this position on an ongoing basis. As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing ___. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. In this role, you will lead engineering operations to ensure timely delivery of high-quality projects. You’ll be responsible for organizing and optimizing the team’s workflow using agile methodologies, including sprint planning, daily stand-ups, and regular feedback sessions. You’ll collaborate closely with the Director of Strategy and Systems to align on product goals, user needs, and system architecture. In addition, you’ll coordinate with two adjacent teams to set cross-functional priorities, track progress, and drive product value. As a team leader, you’ll oversee resource planning to ensure efficient execution and delivery. You’ll also have the opportunity to mentor and manage a talented group of engineers, fostering a culture of innovation, accountability, and continuous improvement. Responsibilities include, but not limited to: • Overseeing day-to-day engineering operations, ensuring teams meet deadlines and deliver high-quality work., • Manage and facilitate an Agile process, including participating in sprint planning, daily stand-ups, retrospectives, and backlog grooming., • You will collaborate closely with the Director of Strategy and Systems to understand product and feature requirements and user needs., • Manage resource allocation and facilitate timely feature delivery., • Collaborate with our Principal AI/ML Engineer to refine product priorities, track progress, and weigh trade-offs., • You will coordinate with a parallel team acting as an internal customer, • Bachelor’s in Computer Science, Engineering, Mathematics, or a related field., • 10+ years of relevant industry experience in a fast paced, high growth tech environment., • Experience with Agile methodologies, with a track record of implementing and refining processes that drive team efficiency and effectiveness., • Ability to work backwards from the big picture to deliver incremental milestones without getting bogged down in bureaucracy., • Experience coordinating across multiple teams, including aligning teams’ goals with a collaborative, team-oriented approach., • A demonstrated aptitude, enthusiasm, and willingness to learn new methods, tools, practices and skills., • Master’s Degree in Computer Science, Engineering, Mathematics, or a related field., • Strong background in Software Engineering, with experience in managing technical teams and delivering complex projects., • Organizational and leadership skills, with the ability to motivate and guide a diverse team, • Exceptional written and verbal communication skills to collaborate effectively across teams and present technical concepts to non-technical stakeholders, • An intuition and enthusiasm for launching groundbreaking, deep-tech products., • Experience with modern C++ will allow you to better interface with other portions of our data ingestion and product pipeline., • Experience in the fields of computer graphics, computer vision, or visual computing, with a strong understanding of core concepts, algorithms, and tools used to create, analyze, and manipulate visual data. We are accepting applications for this position on an ongoing basis. #remote As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing ___. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

Noetica is solving critical NLP problems at the heart of the trillion-dollar capital markets ecosystem with an in-house machine learning platform and decades of ML PhD expertise. Founded in 2022 and based in New York, our high-caliber team is dedicated to bringing innovation and efficiency to legal and financial industries. We count many of the___ in the world among our customers. To date we have raised ~$30M with our last round (Series A) led by Lightspeed. We're fortunate to have been covered by Matt Levine,, amongst others, and named a top AI company 2024 and 2025 by Business Insider, CB Insights, and others. The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms. As a Senior/Staff DevOps Engineer at Noetica, you'll be a key architect and creator of our next generation of infrastructure - a single-tenant system powering a best-in-class legal benchmarking platform and the engineering and research teams building it. You will collaborate with a talented, cross-functional team of ML PhDs, legal SMEs, data, security, and product engineers, among others. Without your specialized expertise, the team risks slower, riskier deployments, performance bottlenecks, and complexity overload as demand for our data-intensive product suite multiplies. Your role directly impacts our ability to safely and effectively ship critical features by laying a secure and reliable foundation of orchestration, monitoring, and automation. As a Senior/Staff DevOps Engineer, you will: * Build infrastructure with security and data privacy as foundational principles, not afterthoughts * Develop CI systems that are reliable and modular, making it easy for all engineers to contribute confidently * Design and build Terraform code that's clean, well-documented, and empowers engineering teams to self-serve their infrastructure needs * Extend and create reliable monitoring and deployment systems that automate releases safely and reduce the risk of production incidents * Simplify complex systems into more manageable solutions that are easier to understand and maintain * Optimize cloud costs through smart autoscaling and efficient resource orchestration based on actual workload patterns * Work with security engineers to implement access controls that protect our systems while still allowing engineers to be productive * Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience) * 6+ years of professional DevOps/SRE/platform engineering experience * Proficiency with AWS, Kubernetes, and Terraform * Direct experience building and maintaining single-tenant infrastructure * Strong experience designing effective CI/CD systems * Strong communication and collaboration skills * A self-starting, problem-solving approach biased towards action and scope minimization * Experience implementing monitoring and alerting across isolated environments * Experience optimizing infrastructure cost, performance, and resource utilization in data-intensive environments * Strong security background or experience working closely with security teams * Experience with disaster recovery exercises and planning * Interest in language, law, finance, or economics * Thrive in a high-leverage, fast-paced environment The reasonably estimated yearly salary for this role is $162,000—$210,000 USD. You will also be entitled to receive a significant early stage equity package and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. We offer numerous employee benefits, including: * Hybrid in-office schedule * Amazing office location next to Bryant Park/Grand Central * 401(k) retirement plan * Wellhub (Gympass) fitness membership * Unlimited PTO * Unlimited sick days * Medical, dental, and vision insurance * Company offsites * Commuter benefits We are an equal opportunity employer. We search for amazing people of diverse backgrounds, experiences, abilities, and perspectives. We take care of each other to create an inclusive work environment where we love to come to work every day. We'd be happy to provide reasonable accommodations to help you apply—just email us at . We hope you can join us.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Join the Substrate Edge Team at Palantir, where we are responsible for mission-critical production infrastructure — encompassing hundreds of Kubernetes clusters across on-premise deployments - from large datacenter to ___. We are now seeking a Senior Infrastructure Engineer with specialized experience in Ceph to boost the scale, and reliability of our ruggedized Kubernetes offerings under novel operating constraints. If you are passionate about infrastructure at scale, have a deep understanding of Ceph, and are eager to engage with the broader open-source community, we encourage you to apply for this exciting opportunity. As a Senior Infrastructure Engineer, you will leverage your expertise in Ceph to manage and optimize storage solutions at scale, ensuring seamless integration with our Kubernetes infrastructure. You will play a key role in automating hundreds of deployments of Ceph clusters on heterogeneous hardware, and making core contributions to the broader Ceph and CNCF communities. \n Core Responsibilities • Manage Ceph at Scale: Design, deploy, and maintain Ceph storage solutions across diverse hardware environments, ensuring high availability and performance under challenging constraints., • Automate Deployments: Develop and implement automation strategies for managing multiple Ceph deployments, reducing manual intervention and enhancing operational efficiency using world-class tooling., • Innovate and Contribute: Drive the adoption of novel features and tools within the Ceph and CNCF ecosystems, contributing upstream as necessary to improve the broader community., • Engage with Communities: Actively participate in the Ceph developer community and the CNCF, sharing insights and collaborating on open-source projects., • Infrastructure Excellence: Collaborate with the team to design and build the next generation of Palantir’s infrastructure, focusing on systems that are scalable, stable, and secure. What We Value • Ceph & Rook Expertise: Practical, hands-on experience managing Ceph storage solutions, with a deep understanding of its architecture and operational nuances ideally using rook., • Automation Proficiency: Strong skills in infrastructure automation tools such as Terraform, Kubernetes Operators, and with coding proficiency in Go, Java, or equivalent., • Systems Programming: Experience in systems programming with proficiency in Go, Rust, C/C++, or equivalent languages., • Hardware and OS Knowledge: Deep familiarity with hardware configurations, operating systems, and diagnostic tools., • Networking Fundamentals: Solid understanding of networking principles, with experience in CNIs or cloud networking infrastructure preferred., • On-premise datacenter experience: Experience working with on-premise hardware, or as sysadmin/SRE in data centers. What We Require • Professional Experience: 4+ years of software development experience focused on core infrastructure with an emphasis on operational excellence., • System Design Expertise: 2+ years of experience in system design or architecture, including reliability and scaling of new and existing systems., • SRE / Operational Experience: 1+ year of being operationally responsible for production grade Ceph clusters., • Educational Background: Bachelor’s degree in Computer Science or equivalent practical experience. \n Salary The estimated salary range for this position is estimated to be $135,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance, • Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance, • Commuter benefits, • Take what you need paid time off, not accrual based, • 2 weeks paid time off built into the end of each year (subject to team and business needs), • 10 paid holidays throughout the calendar year, • Supportive leave of absence program including time off for military service and medical events, • Paid leave for new parents and subsidized back-up care for all parents, • Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation, • Stipend to help with expenses that come with a new child, • Employees can enroll in Palantir’s 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at ___ and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please ___ and let us know how we can help.

Automation AI Security Engineer Brooklyn, NY Onsite Description: The resource’s function is essential to securing the City of New York’s systems for the MyCity Portal development project. Specifically, this resource will help aid in the automation of the Project's Artificial Intelligence (AI) capabilities with other cybersecurity tools. This requires the testing and hardening of the AI ecosystem through well-designed frameworks designed to protect the City of New York's systems and data from emerging cyber-attacks. MyCity is a single portal for all City services and benefits. The vision is a simple, seamless, and intuitive experience interacting with City government digitally. It is designed with New Yorkers at the center of the process to prioritize features by conducting user research. MyCity produces value for New Yorkers, early and often through phased releases. There are several phases within the MyCity portal workstream (Child Care, Business Portal, Workforce Development Services and others). One such phase has been the inclusion of artificial intelligence (MyCity Chatbot) into the platform to enhance New Yorker's ability to leverage the platform. OTI Cyber Command is looking for additional support as the cyber threat landscape continues to evolve and Citywide cybersecurity solutions are deployed in large, complex networked environments. The needed resource skill set is specialized in: working with software development teams to ensure the security and responsible use of AI applications by providing automation guidance at various stages of planning and implementing security design, processes and solutions, and, testing and validation. The resource will have significant interaction with NYC Cyber Command leadership, its engineering, architecture, and application security teams, incident response and other cyber security practitioners. TASKS: ● Design and implement AI-powered solutions that enhances the security posture of tools across multiple platforms. ● Develop security content for tools and technologies that the Threat Management team relies on to ensure business as usual functioning. ● Design and deploy machine learning models for threat detection, incident response, and security orchestration. ● Integrate innovative and custom technology to improve accuracy of alerts and notifications received by teams within Threat Management. ● Create well documented and clearly articulated code, process and services documentation. ● Understanding REST and SOAP API usage and implementing solutions utilizing APIs from Cyber Command utilized solutions, that enhance detection and response capabilities of the Threat Management. ● Handle special projects and initiatives as assigned. ● Perform various types of tests such as functional testing, regression testing, performance testing, and usability testing to evaluate the behavior and performance of the AI algorithms and models. MANDATORY SKILLS/EXPERIENCE: ● Bachelor’s degree in computer science, electrical or computer engineering or related field, or equivalent work experience. ● Ability to leverage REST API’s to build tool and platform integration. ● Proficient in git version control and git life-cycle development. ● 8+ years of hands-on experience in cybersecurity or information security and Python development. ● Demonstrated ability to write test scripts, automate test cases, and analyze test results using programming languages and testing frameworks. ● Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems. ● Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences. ● Ability to stay updated on the latest developments, trends, and best practices in both software testing and artificial intelligence. DESIRABLE SKILLS/EXPERIENCE: ● Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. ● Understanding of public cloud platforms and experience with utilizing platforms such as Azure, AWS or Google Cloud. ● Experience working in a security environment and/or supporting security teams from a technical standpoint. ● Ability to work collaboratively in an interdisciplinary team environment. ● Highly flexible/willing to learn new technologies. SPECIAL REQUIREMENTS: Normal on-prem business hours Monday-Friday 35 hours/week (not including mandatory unpaid meal break after 6 hours of work).

As an AI Engineer at Regard, you’ll play a key role in developing and deploying AI-powered features that enhance physician workflows and improve patient care. You’ll be instrumental in integrating large language models into our platform—building scalable, reliable systems that deliver real value in clinical settings. Working closely with product, design, and engineering teammates, you’ll help prototype, implement, and refine innovative features that push the boundaries of what’s possible in healthcare. Your primary focus will be on building and maintaining production-grade AI systems using best practices—leveraging tools like LangChain, vector databases, and retrieval-augmented generation techniques. You’ll bring hands-on experience in prompt engineering and LLM development, helping the team accelerate feature delivery and deepen our AI capabilities. In this role, you’ll also contribute to a culture of learning by sharing practical insights and collaborating closely with teammates. You’ll have the opportunity to grow your own expertise while helping the team move faster and build smarter, more reliable systems. About Regard Our mission is to bring world-class healthcare to everyone. Regard is the world’s first comprehensive, automated diagnosis tool. Regard streamlines clinical and revenue cycle efforts to dramatically improve hospital finances, patient safety, and physician happiness. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us. • Lead the design and implementation of production-grade AI systems and tooling, • Architect and deploy AI systems using frameworks like LangChain, vector databases, RAG techniques and prompt management, tracing, and benchmarking tools, • Perform prompt engineering to optimize the output for LLM-based tasks, modify LLM system designs to add more functionality or improve the performance of our AI agents or tasks, • Mentor and level up engineering team members on AI agent development, system design, and production AI best practices, • Design architectures that improve end-user response times and reduce both algorithmic and AI-based latency and cost using appropriate prompting techniques, • Collaborate with product and design teams to rapidly prototype and iterate on AI-powered features while maintaining engineering quality standards, • Own end-to-end delivery of AI systems, from conception through production, deployment, and monitoring, • Navigate technical ambiguity and make architectural decisions that balance speed to market with system reliability and scalability, • BS in Computer Science or equivalent experience, • 4+ years of software engineering experience with demonstrated ability to build and ship products end-to-end, • 1.5+ years of hands-on applied AI experience, including extensive work with OpenAI or Anthropic LLMs in production settings, • Demonstrated proficiency in Python, • Proven experience building AI agents with expertise in prompt engineering, LLM pipelines, and optimization of latency, cost, and quality, • Experience with retrieval-augmented generation, context window optimization, chunking, semantic search, vector databases, and other technologies used in conjunction with LLMs, • Strong mentoring and teaching abilities to level up team members on AI system design and implementation, • Exposure to startup and/or high growth environments, • Background in ML techniques, including fine-tuning of models/LLMs and building evaluation and training datasets, • Experience in healthcare technology or other highly regulated industries, • Experience working with health technology, • Experience with machine learning systems, including building evaluation, training, and inference pipelines, and deploying custom-built ML models, • For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, • We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period, • We will provide relocation assistance to anyone who does not already reside in the NYC metro area, • For those who enjoy working from our Manhattan office on a more regular basis, we offer catered lunches and other fun perks, • Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year, • Eligible for equity, • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription, • 18 PTO days/yr + 1 week holiday break, • Annual $750 learning & development stipend, • Company-sponsored team retreat + social events

OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines. About the Position: We are seeking a mid-senior level Software Engineer with 5-10 years of professional experience in backend development with Python (using FastAPI, Flask, or similar frameworks), AWS (particularly Lambda functions), and frontend development (React, JavaScript, CSS/HTML). This person will primarily be focused on OneTrack AiOn, our agentic AI platform that automates engineering, analysis, HR, and compliances processes in logistics operations. You will be hands on building agentic products that work in the real world interacting with tens of thousands of people every single day. • 2-5 years of professional experience in software engineering., • Strong proficiency in Python and experience with backend frameworks such as FastAPI or Flask., • Demonstrated experience building agentic systems on top of foundation models, • Strong experience in prompt engineering, tool design, and RAG, • Experience with AWS services, particularly Lambda functions., • Experience with SQL-like databases, • Proficiency in frontend development with React, JavaScript, CSS/HTML., • Solid understanding of software development principles, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD) practices., • Excellent analytical and problem-solving skills., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients and team members., • Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Preferred Skills: • Experience with Docker and Kubernetes., • Experience with data visualization tools and libraries., • Understanding of machine learning concepts and AI applications., • Knowledge of security best practices in software development. Note: This is a company that works harder than anyone else. We grind. We don't stop. This is not for everyone. If you want to be at the forefront of making AI run operations in the real world and solve complicated problems at scale with a lot at stake and a ton of responsibility, this is for you. If you are easily overwhelmed, don't have the confidence to own complex projects, or need others to delegate tasks and responsibilities to, this is not for you. • Base salary + bonus & stock options eligibility, • Health insurance, dental, vision, PTO days, • Flexible working hours and remote work options, • Opportunities for professional growth and development, • A collaborative and innovative work environment

Tandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have: * Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every week and is doubling physician user count every month. We will reach millions by 2025. * An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time. * Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators. Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster. All full-time roles are in person in New York. You can learn more about working with us in the last section of this page. As an Applied AI Engineer on our team, you will work on real production use cases of LLMs and other ML techniques to solve business problems and create groundbreaking AI applications. The role requires that you develop a deep understanding of our product surface area and what drives our business, such that you can operate and drive impact both cross-functionally and independently. You will have end-to-end responsibility for projects, including definition, design, development, launch, and success––this includes ensuring your output has the expected impact on user growth, operational efficiency, or revenue generation. This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you. * Scope and spearhead AI augmentation and automation projects across our product surface area, including: Unintuitive classifications, Data extraction and summarization, Precise content generation, Reference-based search and question answering, Process outcome prediction, Probabilistic triggering of workflows, and Multimodal model-powered bots * Drive zero-to-one product development from conceptualization through production, collaborating with our go-to-market and operations teams * Stay on top of emerging AI methods and drive decisions around which models and techniques we use, including where we fine-tune and train models * Establish research strategies for various AI methods, including experimentation and evaluation protocols that control for both accuracy and consistency * Prototype and productionize AI functionality and agents, incorporating real-world feedback to refine them * Participate actively in client engagements, working directly with customers to understand requirements and deliver innovative solutions * Develop engineering process, tools, and systems to support faster AI product development (e.g., build a one-click eval system) and scaling (e.g., model invocation efficiency) * Work closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitability * Decipher and automate complex, branching workflows for insurance coverage, affordability programs, and fulfillment * Combining AI/ML approaches to achieve high precision document classification, unstructured data extraction, and reference-based question answering * Automating multi-step, path-dependent processes, using a combination of RPA/scraping approaches to navigate and operate third-party platforms * Building a state machine that drives system decisions and handles failure modes across a set of processes that are technically independent but practically intertwined * Scale across a growing range of drug classes, patient populations, and provider markets * Making our data and ML pipelines robust to variation and inconsistency in input data formats (e.g., clinical documentation structure and style) * Leveraging empirical data to build and continuously update our understanding of opaque external systems (e.g., insurance company policies) * Creating consumer-grade experiences for patients, physicians, and other users that incorporate intuitive AI-powered workflows * Use our network to help biopharma partners accelerate drug development, launch, and access * Translating large volumes of heterogeneous data into reliable insights, informing decisions like clinical indication selection, launch markets, and insurer negotiations * Developing predictive and simulation models to forecast outcomes such as clinical trial site performance, drug adoption rates, and the impact of rebates/subsidies * Using real-time data and direct engagement channels to enroll criteria-matching patients and physicians in clinical studies and access programs * Strong programming skills and general Computer Science knowledge * Experience driving AI projects end-to-end — from model development and data infrastructure to production deployment and real-world iteration * Proficiency with modern AI/ML technologies (e.g., LLM APIs, PyTorch, TensorFlow) and a strong foundation in full-stack web development (we use Python, React, TypeScript, PostgreSQL, and Kubernetes) * Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships * Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals * High___ with your former teammates This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply. Tandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles: * Commit to audacity. "Whether you think you can, or you think you can't – you're right.” * Do the math. Be rigorous, assume nothing. * Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose. * Spit it out. Be direct, invite critique, avoid equivocation – we want right answers. * Be demanding and supportive. Expect excellence from everyone and offer help to achieve it. * Do what it takes to be number 1. We work hard to make sure we win. We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay. We also provide rich benefits to ensure you can focus on creating impact: * Fully covered medical, vision, and dental insurance. * Memberships for One Medical, Talkspace, Teladoc, and Kindbody. * Unlimited paid time off (PTO) and 16 weeks of parental leave. * 401K plan setup, FSA option, commuter benefits, and DashPass. * Lunch at the office every day and Dinner at the office after 7 pm. Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

Founded in 2022, ___ is revolutionizing development in America by streamlining the collaboration between developers, builders, and local regulatory authorities. GreenLite’s software powers its Private Plan Review offering, serving many of the nation’s largest public retailers, developers, and production home builders. By leveraging GreenLite’s technology, its customers save months on each project, significantly accelerating their timelines and staying within budget. GreenLite is founded by experts in technology, development, and within the AEC (Architecture, Engineering, and Construction) industry, and backed by leading venture capital firms. GreenLite is at the forefront of the privatization of construction permitting and plan review, reshaping a multi-hundred billion dollar industry. GreenLite has raised nearly $40M from the country’s leading venture capital investors, including Craft Ventures, who led GreenLite’s $28.5M Series A. We’re well capitalized to achieve our mission of revolutionizing the plan review and construction permitting process across the country. We're on a mission to automate one of the most costly and expertise-dependent bottlenecks in the built environment — construction plan review. Today, plan review is slow, expensive, and highly manual, requiring licensed experts to navigate thousands of unique jurisdictional construction codes and complex architectural documents. We believe AI can help. As a key hire in our AI engineering organization, you’ll operate with a founder mindset, help in defining our long‑term data strategy, and align multiple squads behind it. Our product roadmap includes computer‑vision and large‑language‑model (LLM) capabilities; but those future models will only be as good as the thought that goes into designing them. As an ML engineer you will design, build, and own the way that happens and directly influence company OKRs. * Work with a rich proprietary dataset encompassing: * Access to building codes across every jurisdiction * Expert-generated comments on building plans * In-house architects and code experts shaping the problem and validating results * Own the decision making with data engineering on the tech stack we use for MLOps. * Alongside data engineering, optimize scalable data processing pipelines on our platform and maintain ML infrastructure. * Model Development: Design, develop, deploy and monitor innovative ML solutions that drive efficiency for our customers * End-to-end Workflow Orchestration: Design and maintain complex workflows that automate the path from feature store to inference. * Design and construct greenfield pipelines that automate pre-training and fine-tuning domain-specific LLM/CV models. * Define and shape RLHF and retrieval pipelines to inject code-compliance knowledge. * Evaluations and Experimentation: Experiment, evaluate and implement novel research ideas for proprietary LLMs/CVMs * Have a graduate degree in Computer Science, Data Science or ML related field or equivalent industry experience * Have 2+ years of experience shipping ML systems (not just research) * Have experience shipping AI models into production (bonus: experience with AI Agents / LLM orchestration and ML Ops) * Can efficiently translate open-ended problems into actionable solutions * Familiarity implementing novel NLP / CVM research ideas and techniques. Prior publications in top conference journals or other evidence of staying current (e.g. open source contributions, conference talks) is a plus. * Excitement to encode dense regulations & messy CAD & PDF data into structured, learnable signals. * Prior experience in a startup environment is a plus. * Excitement for building AI systems that go beyond benchmarks into the real-world messiness of imperfect data * Thrive in “debate, decide, deliver” cultures—turning ambiguous product goals into concrete, maintainable systems. 90 days: LLM/CV model trained on a reproducible pipeline and a clear ML roadmap signed off by product & domain experts. 6 months: Alpha model running in shadow via a fully automated MLOps pipeline, showing > 20 % quality lift on real plans. 12 months: Model live in customer beta, cutting manual review time ≥ 25 % with auto‑retraining and monitoring that scales to new hires. Why Join Us? * Shape the data platform and labeling strategy that future hires will depend on. * Be an early technical leader on a high-impact AI product and trailblaze the first AI model for the building compliance industry. * Work directly with architects, engineers, and domain experts who shape the system * Contribute to making the built world more efficient, sustainable, and safe * Solve one of the most under-explored AI problems in the real world (with a huge market size) * Own It: You act like the CEO of our data layer—no broken pipelines on your watch. * Solve Real Problems: Every schema, pipeline, and quality check exists to deliver ML‑ready data that shortens training cycles and lifts model performance—turning raw construction files into fuel for CV & LLM models. * Full Send: You move with urgency, never at the expense of data integrity. * Be Real: Radical candor about trade‑offs and technical debt keeps the team honest. If you’re ready to turn raw architectural drawings into the data engine that powers the first AI plan‑reviewer, we’d love to meet you. * Competitive salary * New hire stock equity packages * Annual bonuses based on performance and delivering results * Medical, dental, and vision insurance plans * 401(k) savings plan * Employee wellness program * Home productivity stipend * Team building events * Unlimited PTO policy GreenLite values people from all walks of life and professional backgrounds. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about the construction industry or solving the housing crisis in America, and want the opportunity to grow in your career, we encourage you to apply. GreenLite is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it. From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for. The Role As a founding Applied AI Engineer at Valence, you'll spearhead the development of groundbreaking AI-driven leadership coaching, reporting directly to our Head of AI. This pivotal role places you at the intersection of cutting-edge generative AI and practical business applications, offering the opportunity to shape the future of workplace development. You'll pioneer AI coaching by developing and deploying advanced generative AI models that revolutionize leadership development, while crafting intelligent interactions through sophisticated natural language processing systems that provide personalized, context-aware guidance to leaders. In this position, you'll optimize our AI systems for enterprise scale, building robust and scalable solutions capable of serving Fortune 500 clients with high performance and reliability across diverse corporate environments. Collaborating closely with our product and leadership teams, you'll drive product innovation by identifying new opportunities for AI integration and constantly pushing the boundaries of what's possible in AI-assisted coaching. As a champion of ethical AI, you'll lead the charge in developing responsible AI practices, ensuring our coaching solutions maintain the highest standards of fairness, transparency, and user trust. This role presents a rare opportunity to apply state-of-the-art AI techniques to transform how businesses approach leadership development. You'll tackle unique challenges at the intersection of AI, psychology, and leadership development, creating truly innovative solutions. About Valence We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a who's who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myers Squibb. \n What You'll Do • Architect and develop enterprise-grade conversational AI solutions for leadership coaching, • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in novel ways to advance product goals., • Evaluate and improve existing conversational (LLM-based) models across dimensions of effectiveness, scalability, and efficiency., • Implement, test, and deploy LLM-powered coaching agents that understand complex tasks, provide accurate and relevant responses, and adapt to diverse conversational contexts, • Integrate and manage diverse data sources to enhance the knowledge and contextual understanding of our AI coaching models, • Work with the product team to study user behavior and prioritize evolving product developments., • Experiment at a high velocity to optimize user experience, • Full stack - write, review and deploy code across back and front end as needed, • Streamlining data science processes to support rapid iteration and quality improvement., • Support other science and software development where required. What We're Looking For • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience, • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field), • Practical and theoretical knowledge of language systems in the areas of: conversational systems, NLP, and Information Retrieval with knowledge of relevant tools, • Strong software engineering skills with a track record of developing data-driven machine learning systems or products, • Proficiency in Python and relevant deep learning frameworks - both training (e.g. PyTorch, Tensorflow, JAX) and serving (e.g., Hugging Face TGI/Transformers/Adapters/outlines, vLLM), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and their associated ML services., • Experience with Data Science tools and processes (e.g. NumPy, scikit-learn, Pandas, PySpark), • Familiarity with ML lifecycle tools like MLflow, Weights & Biases, • Hands-on experience building Generative AI-powered applications, including Large Language Models, • Strong analytical and problem-solving skills, • Ability to communicate complex ideas and concepts effectively, • Exposure to early-stage startups, preferably B2B SaaS What You'll Get • Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment., • Strong ties to the executive team, a culture of transparency and engagement with strategic decisions., • Options from day one, which means you will be on the ownership track right away., • Competitive salary and equity packages., • Comprehensive health coverage (medical, dental, and vision) from day 1., • Provision of anything you need to be successful - learning tools, hardware, office equipment, software., • 401k optionality for US based employees, • Generous PTO, company-wide R&R shutdowns and paid leave for parents., • A WFH stipend, phone stipend and support to work in a We Work or other space as preferred. \n Location and Work Environment If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at . #LI-HYBRID

Office Location: Lower Manhattan, NY - Hybrid About Accrete: Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency Overview: We are seeking a skilled mid-level Machine Learning Engineer to join our team. In this role, you will have the opportunity to work on exciting projects that leverage machine learning techniques to build intelligent applications. You will collaborate with a team of talented engineers, researchers and data scientists, contributing to the development of AI solutions that deliver significant value to our clients. Responsibilities: • Work closely with machine learning researchers to facilitate the productionization of large-scale and cutting-edge artifacts (examples: machine learning models, scripts for fine tuning and testing models, etc.), the duties of which can include scaling up modeling/algorithm code and architecting systems that will be deploying the artifacts, • Work with large datasets to preprocess, clean, and prepare the data for training/inference, • Design, implement and optimize processing pipelines for scalability and efficiency, • Architect systems to facilitate research experimentation and artifact evaluation, • Collaborate with cross-functional teams to understand project requirements and deliver solutions, • Participate in code reviews, testing, and documentation to ensure high-quality deliverables, • Assist in mentoring and guiding early-career engineers, sharing best practices and fostering a culture of continuous learning Accrete values diverse experiences and we encourage applicants to apply even if you don’t meet all of the following criteria. While having all of the qualifications listed below can certainly make you a strong candidate, we acknowledge that great candidates aren’t defined simply by a list of skills. If you think you have other experiences that would make you a good match for this role, please apply! • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, Math, or a related field, • 3-5 years of professional experience in machine learning, MLOps or related fields, • Working knowledge of machine learning concepts, algorithms, and techniques, • Expert in software engineering principles and software development methodologies, • Proficiency in Python, • Experience with latest MLOps tools and machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn), • Demonstrated ability to preprocess, analyze, and visualize large datasets, • Experience with cloud platforms (e.g. AWS, GCP, Azure), related compute and storage systems, and with deploying machine learning models, • Knowledge of software development best practices, including version control and agile methodologies, • Experience with containerization and orchestration tools (e.g. Docker, Kubernetes, etc.), • Strong problem-solving skills, attention to detail, and the ability to work both independently and as part of a team, • Experience with deep learning architectures and natural language processing, • Understanding of reinforcement learning and other advanced machine learning techniques, • Experience deploying LLM-based applications Benefits: • Comprehensive, competitive benefits: health, dental, vision, prescription, long- and short-term disability and life insurance, and a 401(k) (Traditional & Roth), • Flexible PTO & all U.S. federal holidays off, • Daily catered lunch and a kitchen stocked with snacks and beverages

This position is posted by Jobgether on behalf of Shiftsmart. We are currently looking for a Staff Data Engineer in New York. This role offers a unique opportunity to lead the design, development, and governance of scalable data platforms within a fast-growing technology environment. As a key member of the core platform engineering team, you will provide technical leadership in building reliable and compliant data systems that empower a global workforce marketplace. Your expertise in data architecture, governance, and software engineering will directly impact business success by ensuring data integrity and privacy. Collaboration and innovation will be central as you mentor others and drive continuous improvement in data processes. Accountabilities: • Provide technical leadership and guidance in designing data solutions aligned with business and governance requirements., • Develop scalable and compliant data architectures including data warehouses, big data platforms, and databases., • Champion data governance practices such as data lineage, metadata management, quality controls, and privacy compliance., • Collaborate with stakeholders to translate needs into robust data systems and tools., • Optimize data processing performance and automate workflows to improve efficiency., • Mentor junior engineers and promote a culture of governance awareness and compliance., • Maintain thorough documentation and share knowledge across teams to support continuous improvement and innovation., • 8+ years of software engineering experience focused on data engineering and large-scale data systems., • Strong proficiency with technologies such as MongoDB Atlas, Google Cloud Platform (GCP), BigQuery, Prefect, Typescript, and Python., • Deep understanding and practical experience with data governance frameworks and compliance regulations., • Proven ability to design and implement scalable data architectures with a focus on governance and security., • Excellent software engineering skills and modern development best practices., • Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearly., • Leadership experience mentoring teams and driving successful project outcomes., • Bachelor’s or master’s degree in computer science, engineering, or a related field., • Competitive salary range between $175K – $225K, plus equity options., • Comprehensive healthcare coverage including 100% employee premiums for medical, dental, and vision., • 401(k) program with a company match., • Generous paid parental and family leave policies., • Pre-tax commuter benefits and a collaborative office environment in Manhattan (optional onsite)., • Opportunity to work fully remote with a company at the forefront of workforce technology innovation. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Internship Opportunity: AI & Automation Engineer Intern 📍 Bali, Indonesia 🕒 Duration: 4–6 months | Unpaid Build the Future. Automate Everything. Step into the cutting edge of AI and automation with real-world applications for global startups. Work directly with Julien Uhlig to implement AI solutions that scale businesses and transform industries. What You'll Do: • Design and implement AI workflows for international companies, • Build automation systems that save thousands of hours in operational processes, • Use machine learning tools to solve real business challenges, • Create AI-powered solutions that go live in production environments What You Bring: • Background in computer science, engineering, or a strong interest in AI and technology, • Curiosity for machine learning, automation, and emerging technologies, • Problem-solving mindset and ability to think systematically Why Join Us? Because the AI revolution needs builders, not just users. • Master cutting-edge AI tools and automation platforms, • Get certified by Julien Uhlig in AI implementation and strategy, • Build a portfolio with real AI solutions for global brands, • Learn from industry experts who’ve scaled AI across €150M+ in ventures, • Gain expertise in prompt engineering, workflow automation, and AI ethics, • Receive mentorship in technical leadership and AI entrepreneurship, • Connect with AI professionals and tech innovators worldwide, • Work in an inspiring environment with fellow tech visionaries, • Develop skills in AI communication, technical presentation, and innovation leadership You’ll leave with more than just technical skills. You’ll leave with the vision to lead the AI transformation. We are interviewing on a rolling basis. If you are the right candidate, we won’t wait — and neither should you. Learn More About Us: Website: Bali Internship Details: Instagram: @exventureacademy TikTok: @exventureacademy1

About Us Resonance is a technology company building a more sustainable and valuable fashion industry for designers, brands, manufacturers, consumers, and the planet. The company’s AI-powered operating system ONE enables brands to design, sell, and make in that order, empowering designers to operate with no unnecessary inventory and eliminating the financial and environmental burdens of the legacy fashion industry. Resonance ONE is our software that powers any apparel company. Resonance ONE uses an emergent behavior model that redefines how garments are designed, sold and made with an “I know nothing” mindset that is constantly learning from our users. Resonance ONE includes the following: • An apparel brand or creator’s digital operating system to launch and run their brand’s business., • An AI Agentic framework, Contracts, and APIs for functions that span the end-to-end creation-to-closet functionality, including everything from 3D volumetric design and collection creation to payments to orders to inventory management and some non-standard processes that are specific to Resonance workflows Headquartered in New York City and Santiago, Dominican Republic, Resonance has partnered with more than 30 brands, including THE KIT and Rebecca Minkoff, to create garments that use 97% less dye, 70% less water, and 50% less material than any other fashion brand—and immediately eliminate overproduction. Want to know more? Visit our website and read articles about us. About the role As a Senior AI Engineer at Resonance, you will be deploying cutting-edge AI solutions for both internal processes and client facing products. This role focuses on pushing the boundaries of what is possible with AI to help revolutionize the Fashion industry and deliver real value. You will be responsible for applying the state of the art while being extremely value focused. You will develop practical AI solutions, including applications of Machine Learning Models and Large Language Models initially focusing on Retrieval AugmentedGeneration (RAG). You will contribute in the design and implementation of these AI-driven systems, working closely with a multidisciplinary team of engineers and domain experts as well as different teams within Resonance. This role is ideal for engineers that are passionate about applying technology to create meaningful and impactful solutions while also recognizing that delivering value and delighting customers trumps all else. Responsibilities • Own the design, development, and deployment of software solutions that build innovative AI tools and models, • Build and maintain the data curation pipelines to feed machine learning models, • Collaborate with cross-functional teams, including product managers and domain experts, to discover, build, and iterate on innovative features and products., • Rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve our software solutions in alignment with strategic objectives, • Master’s degree or higher in Computer Science, Engineering, AI, or Machine Learning or a related field, or equivalent experience., • Minimum of 7 years of experience in software development, with a demonstrated ability to thrive in ambiguous and rapidly-changing environments, with a proven track record of contributing significantly to the successful launch and scaling of new and innovative products, especially in a 0-1 setting., • Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, agent and RAG frameworks)., • Exceptional collaboration and communication skills to effectively engage and work along stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences., • Hands on experience with AI technologies, particularly in LLM-RAG and machine learning., • Comfortable in cloud environments (e.g., AWS, Azure, GCP) and the full end-to-end process of modern cloud-native software deployment (e.g., Kubernetes, GitOps), • We offer full benefits (medical, dental, and vision), a competitive salary and equity., • Resonance Companies is an equal opportunity employer and values diversity in our company. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.

iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services, approximately $945 billion in global client assets invested in 1,940 funds, as of June 2025. iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award (See link below). About the Role iCapital is seeking an experienced and forward-thinking AI/ML Engineer Vice President with a strong engineering background and experience leading technical teams. The ideal candidate thrives at the intersection of AI/ML systems engineering, platform development, and intelligent agent design. This individual will play a key role in building and scaling AI capabilities across our platform, with a focus on production-grade systems rather than data science. If you are passionate about developing systems that go beyond traditional ML models—systems that can reason, plan, and act in dynamic environments using tools, APIs, and memory—this is the role for you. While this is primarily a hands-on engineering position, this role will also provide technical leadership, mentor junior engineers, and collaborate cross-functionally to shape our AI strategy and execution. Responsibilities • Design, build, and optimize scalable AI/ML infrastructure and services powering intelligent features across our platform., • Lead the development of AI agents capable of autonomous decision-making, task execution, and multi-step reasoning across internal and customer-facing applications., • Architect and implement modular agent frameworks by integrating tools, APIs, and memory systems for dynamic and context-aware behavior., • Collaborate with product, data, and infrastructure teams to embed AI capabilities into production systems., • Drive the architecture and development of ML pipelines, model serving frameworks, and real-time inference systems., • Evaluate and integrate state-of-the-art AI tools and frameworks to accelerate development and deployment., • Provide technical mentorship and guidance to engineers, contributing to team growth and best practices., • Partner with Data Science teams to operationalize models, ensuring a smooth transition from experimentation to production., • Contribute to technical roadmaps and help define long-term AI/ML platform and agent strategy., • Optimize agent performance for latency, reliability, and safety in production environments., • Stay current with the latest research and tools in LLMs, multi-agent systems, and cognitive architectures., • Contribute to the development of internal libraries, best practices, and reusable components for agentic systems. Qualifications • 8+ years of experience in software engineering, with at least 2+ years focused on AI/ML systems, • Proven experience in building and deploying ML models in production environments, • Hands-on experience with AI agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen, or custom-built systems), • Strong understanding of the ML lifecycle, including data pipelines, model training, evaluation, deployment, and monitoring, • Familiar with MLOps tools such as MLflow, Kubeflow, or SageMaker, • Deep understanding of LLM orchestration, prompt engineering, tool use, and memory architectures, • Familiar with various LLM inference engines such as vLLM or SGLang, • Experience in integrating agents with APIs, databases, and external systems, • Familiar with retrieval-augmented generation (RAG), vector databases, and knowledge graphs, • Experience deploying AI systems in cloud environments (AWS, GCP, Azure) and utilizing containerization tools (Docker, Kubernetes), • Demonstrated ability to lead projects or small teams, with excellent communication and collaboration skills, • Bachelor’s or master’s degree in computer science, engineering, or a related field, • Experience with LLMs, generative AI, or multi-agent systems in production is a plus, • Background in distributed systems or real-time data processing is a plus, • Experience in the finance industry is a plus Benefits The base salary range for this role is $180,000 to $220,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit ___ Twitter: @icapitalnetwork | LinkedIn: ___ | Awards Disclaimer: ___ For additional information on iCapital, please visit Twitter: @icapitalnetwork | LinkedIn: | Awards Disclaimer: iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Office Location: Lower Manhattan, NY Accrete is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency We are looking for a talented Machine Learning Engineer to join our Engineering team and contribute to the evolution of our AI products. Responsibilities: • Design, develop, and optimize machine learning models and pipelines for deployment in production environments., • Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment., • Collaborate with data scientists, engineers, and research to integrate ML solutions into Accrete’s platform., • Implement best practices for model performance monitoring, versioning, and retraining., • Work with cloud-based platforms and distributed computing frameworks to improve system efficiency., • Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency., • Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field., • 5+ years of experience in designing and deploying machine learning models in production., • Strong programming skills in Python and proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn., • Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes)., • Proficiency in distributed computing frameworks like Spark, Ray, or Dask., • Experience with MLOps tools and techniques, including CI/CD for ML, model versioning, and monitoring., • Familiarity with large-scale data processing, data engineering principles, and feature stores., • Experience with reinforcement learning, NLP, or deep learning applications., • Knowledge of graph-based ML, generative AI, or other advanced ML techniques., • Exposure to edge AI and model optimization techniques (e.g., quantization, pruning). The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements. Core Values & Expectations: Impact You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities. Collaboration You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes. Passion for AI & Innovation You are deeply excited about the transformative potential of AI and committed to contributing to a company shaping the future of work. With curiosity and a growth mindset, you continuously seek to learn, adapt, and stay at the forefront of new developments. Your enthusiasm for innovation drives you to explore new ideas, challenge the status quo, and find creative solutions that deliver meaningful impact. You approach your work with energy and a desire to advance both technology and the way we work. • Competitive Salary: Aligned with experience and market standards., • Comprehensive Insurance: Health, dental, and vision coverage to keep you and your family secure., • 401(k) Plan: Build your financial future with our retirement savings plan., • Flexible PTO & Hybrid Work: Take time off when you need it and enjoy remote flexibility per company guidelines., • Growth & Development: Access professional development, learning opportunities, and career advancement support., • Onsite Perks: Enjoy catered lunches, snacks, and a stocked kitchen., • Team Bonding: Company-sponsored happy hours and social events to connect and unwind.

This position is also typically eligible to participate in our short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off Policy.

Job Description Software Engineer NYC Data Science Innovation Center – Investment Management (HYBRID REMOTE OPPORTUNITY) They are creating groundbreaking, next-generation Data Science, Predictive Analytics and Machine Learning applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices and data sciences! You will play a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will be working on developing (Object-Oriented Technologies) the firm's next generation data distribution and analytics platform, with the aim to seamlessly deliver real-time and on-demand investment data to a global network of distributed trading and research platforms. J Harlan Group is currently conducting a search for a Software Engineer at a prominent Investment Manager in their NYC Data Science Technology Development Center (TDC). The TDC is expanding their Data Science Technology Innovation Center team where they are creating groundbreaking, next generation Data Science, Predicative Analytics and Machine Learning technologies. This role is eligible for remote work up to three days a week. The TDC is developing the firm's next-generation applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices, data sciences and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services. Technologists at this organization are playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. They're looking for experienced Software Developers / Engineers to join their new Technology Development Center in Manhattan. They want technologists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. You'll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You'll be involved, hands-on, through the entire development cycle. And you'll redefine the way our traders, portfolio managers and analysts serve our clients. This is a “hands-on”, full development lifecycle role that provides an opportunity to solve complex business, data, and technical challenges. As a key contributor throughout the entire development cycle, you will be required to think outside the box and bring cutting edge technology in-house. The ideal candidate would have a background: Core Attributes: • Craftsman-like approach to building software; takes pride in engineering excellence and instills these values in others, • Demonstrable passion for technology (e.g., personal projects, open-source involvement) while using their problem-solving capabilities to deliver solutions utilizing a top end engineering approach, • Focused on delivering value to the business with relentless efforts to improve process, • Exceptional technology skills; recognized by your peers as an expert in your domain, • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches, • Strong analytical ability, true problem solvers, • High achiever who combines ambition with humility and is happy to let their performance do the talking Required Technical Experience: • Professional Object-Oriented development experience - 2+ Years of professional development experience with an Object-Oriented Programming (Java, Python, Scala), • Solid understanding and experience with cloud native architectures (AWS, etc.) for containerized microservices and real-time systems, • Experience with React and/or Angular helpful, • Experience with automated delivery pipelines, agile delivery and test-driven development, • In-depth knowledge of software design patterns, • Experience with AI and Machine Learning application development preferred Required Domain Experience and Soft Skills: • Experience working in a dynamic, fast-paced, Agile team environment Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders, • Confident communicator: able to argue a point concisely and deal positively with conflicting views, • Enthusiasm for learning & results oriented, • A solid understanding of financial markets and instruments is a plus Required Education: • Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science or Engineering or a related technical field) An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $800 billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. 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 SALARY RANGE: The salary range is $148,000 - $253,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program)

Job DescriptionOur Mission: Hospital-Quality Care, Everywhere. The healthcare industry still relies on faxes and phone tag to coordinate critical care for patients at home. We think patients and the clinicians who serve them deserve better than a system stuck in 1995. Verse Medical is building the modern software infrastructure to make it happen. We're a well-funded Series C company (backed by General Catalyst, SignalFire, and Sapphire Ventures) on a mission to heal a fragmented system. Our platform connects the dots between providers, payors, and patients, ensuring people get the high-quality care they need, reliably and right where they live. We’re growing fast and looking for people who are driven by this mission to join us! Our Values: The Principles That Guide Us Our values are the operating system for how we work together and with our partners. They aren't just words on a wall; they are the principles we bring to every decision, every day. * We are transparent, upfront and direct. We operate with honesty and clarity. We share information openly, the good and the bad, and believe that direct, respectful feedback is the foundation of trust and progress. * We value speed of iteration. We are building something new, which means we learn by doing. We prioritize rapid iteration and getting solutions into the hands of users, believing that progress is more valuable than perfection. * We give 110% effort, 30% of the time. We are passionate about our mission, and there are moments that require us to go the extra mile. We believe in focused intensity when it counts, balanced by a sustainable pace that keeps our team energized for the long run. * We empathize with customers to a fault. When our users face a problem, we own it. Instead of asking them to change, we ask ourselves, "How can we make this better?" We believe true innovation comes from deep empathy and a relentless focus on solving the real-world challenges of healthcare. Your Impact: How You'll Help Us Heal a Broken System As a Full Stack Software Engineer, you'll be shaping the future of at-home care. You'll be a key part of the team, working closely with customers & internal teams to define exactly what needs to be built. Our engineers deeply understand our users’ and internal needs, which has been a big key to our success. What You'll Achieve: A Glimpse into Your Contributions Within your first year, you will have the opportunity to: * Build software for hospitals and patients that will make their lives easier. * Find creative solutions to complex technical and product problems. * Build prototypes fast, but with a path in mind to turn them into robust systems over time. * Operate with a lot of independence and responsibility in solving complex issues. * Work with relevant stakeholders outside of engineering to figure out the right solutions to issues. What You'll Bring: The Skills for Our Shared Mission We believe that diverse experiences and backgrounds lead to better solutions. While we have an idea of what will help someone succeed in this role, we are open to being convinced by your unique story and skills. If you believe you can achieve the outcomes above, we encourage you to apply. Core Skills & Experience: * At least 1 year experience building, shipping, and maintaining full-stack applications in a production environment. * Bachelor's degree in Computer Science or other relevant technical focuses. * Proficiency in building applications with both backend (e.g., Python, TypeScript/JavaScript) and frontend (e.g., React, Vue) technologies. * A strong command of SQL and experience designing and querying relational databases (e.g., PostgreSQL, MySQL). * The ability to articulate complex technical concepts clearly to both technical and non-technical audiences. Our Team & Our Tools You'll be joining the Engineering team, a group of talented innovators who value pragmatism, simplicity, and speed of execution. We collaborate closely and believe the best ideas can come from anywhere. The tools and technologies you'll use include * Languages: Python, Typescript * Frameworks: Flask, React, Apollo GraphQL * Infrastructure: Postgres, Airflow, AWS, Google Cloud Platform The Rewards & Reality: Compensation, Benefits & Logistics We believe in taking care of our team, both professionally and personally. Here’s what we offer: * Meaningful Compensation: $130,000-$150,000 base salary + equity * Comprehensive Health & Wellness: We cover 100% of your health insurance premium and provide access to high-quality dental and vision insurance plans for you and your dependents. * Plan for the Future: We offer a 401(k) plan to help you save for your future. At this time, the company does not offer a 401(k) match. * Career Growth: You'll have opportunities for rapid career advancement in a company that's at a major inflection point. We want you to grow with us. Work Environment & Location * This role is based in our New York City office in Chelsea. We have a hybrid model, with a requirement of 4 days per week in the office to foster collaboration and innovation. * Please note that at this time, we are not able to provide visa sponsorship for this position. All candidates must be authorized to work in the United States. Our Pledge for an Equitable Future At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live. We can only achieve this if our own team reflects the diversity of the patients we serve. We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work. We embrace diversity of all kinds—race, gender, age, religion, identity, experience—and are actively working to build a more inclusive and equitable world, starting from within our own walls. We are an equal opportunity employer. We are also committed to providing a positive and accessible interview experience. If you require any accommodations to participate in our process, please contact us at . Compensation Range: $130K - $150K

Job DescriptionDevOps / Site Reliability Engineer (Remote) Location: Remote (US-based) Reports to: CTO, SportsRecruits About SportsRecruits SportsRecruits is the leading sports recruiting network, connecting athletes, clubs, events, and college coaches in the recruiting process. The company’s network and tools are trusted by sports organizations such as the IWLCA, IMLCA, NFHCA, and Junior Volleyball Association. Every year, millions of connections are made on the network, resulting in commitments to the best academic and athletic institutions. SportsRecruits is part of IMG Academy, the world's leading sports education brand. IMG Academy provides a holistic education model that empowers student-athletes to win their future, preparing them for college and for life. IMG Academy provides growth opportunities for all student-athletes through an innovative suite of on-campus and online experiences: • Boarding school and camps, via a state-of-the-art campus in Bradenton, Fla., • Online coaching via IMG Academy+, with a focus on personal development through the lens of sport and performance We’re looking for a DevOps / Site Reliability Engineer to join our team. You will play a key role in ensuring that our systems are efficient, reliable, and scalable, while helping us improve developer productivity and application performance. You’ll collaborate closely with developers, QA, product, and our cloud security engineer to streamline builds and deployments, maintain application infrastructure, and proactively solve issues before they impact our users. Our stack includes: • Laravel + PHP8 backend APIs, • Vue.js (v2 and v3) + Inertia.js + Tailwind frontend, • React Native mobile applications, • Python for internal tools and ML/LLM-based features, • Infrastructure as code managed by Terraform, • AWS ECS Fargate, AWS RDS, AWS ECS, SQS, MediaConvert, and more, • CI/CD & Deployments, • Configure, manage, and improve Bitbucket pipelines for deploying our applications to staging and production., • Improve CI pipeline speed, reliability, and security in collaboration with our Cloud Security Engineer., • Assist developers and QA teams with deployments., • Work with Docker and AWS ECR for container builds and deployment workflows., • Monitoring & Incident Response, • Review and investigate system issues flagged by Sentry, NewRelic, and CloudWatch., • Monitor application performance, identify bottlenecks, and propose solutions., • Respond to production and staging issues, including database latency, unresponsive resources, or failed jobs., • Environment & Infrastructure Management, • Maintain and support non-production environments used by developers and QA., • Maintain and improve AWS infrastructure and Terraform resources., • Perform updates and upgrades to AWS services as needed to ensure reliability and ability to scale., • Collaboration & Continuous Improvement, • Partner with engineers to design systems that are scalable, observable, and resilient., • Work closely with our cloud security engineer to ensure secure configurations in CI/CD, AWS, and containerized workloads., • Contribute ideas and improvements to workflows, automation, and monitoring strategies. About YouMust-Haves:, • 3+ years of experience in DevOps, SRE, or related engineering roles., • Strong experience configuring CI/CD pipelines (Bitbucket Pipelines, GitHub Actions, or similar)., • Experience configuring, debugging and deploying PHP applications, • Hands-on experience with Docker and AWS ECR for container builds and deployments., • Strong experience with AWS services (EC2, RDS, ECS, Lambda, etc.) and Terraform for infrastructure as code., • Familiarity with monitoring and observability tools such as New Relic, Sentry, CloudWatch, or similar., • Strong troubleshooting skills for debugging performance issues in databases, applications, and distributed systems., • Experience with modern software development workflows (agile teams, code reviews, branching strategies)., • Strong scripting and automation skills (Bash, Python, or similar)., • Experience with ECS orchestration., • Familiarity with PHP/Laravel or JavaScript/React/Vue applications., • Previous experience supporting high-traffic SaaS platforms., • Laravel, Vue, or TailwindCSS experience, • Familiarity with containerized deployments (Docker, ECS, etc.), • Experience working with 3rd-party APIs and async job queues (SQS, Redis), • Knowledge of AI tooling, LLM integration, or computer visionWhy Join Us?, • Meaningful Work: Help shape a platform that impacts thousands of student-athletes’ futures., • Modern Stack: Work with Laravel, Vue, React Native, Python, and AWS, backed by great tooling and infrastructure., • Growth-Oriented Culture: We prioritize learning, experimentation, and continuous improvement., • Competitive salary: $100,000 – $145,000 per year, • Remote-first team culture, • Health, dental, and vision coverage, • 401(k) with company match kxmgntuxQ2

Job DescriptionSalary: Description Acadaca Ecommerce Java Developer Job Description Acadaca is a boutique ecommerce agency with a broad spectrum of clients including fashion, beauty, lifestyle, media and B2B. We are technology systems experts with vast experience in all the major platforms, with a highly integrated a la cart offering that includes digital marketing, UX, creative design, eCommerce strategy, and our own proprietary products. We are seeking a mid-level Java engineer to join our team and help build and maintain our ecommerce platforms for clients. This individual will be responsible for designing, developing, and implementing new features and functionality for our clients' ecommerce sites, as well as troubleshooting and fixing any issues that arise. Responsibilities: • Design, develop, and maintain ecommerce platforms, • Collaborate with the design and development team to create new features and functionality, • Troubleshoot and fix any issues that arise on the ecommerce platforms, • Write clean, efficient, and well-documented code, • 1-3 years of experience in Java development, • Experience with Spring Framework, • Strong understanding of JavaScript, HTML, and CSS, • Source Control (GIT), • Basic Linux command, • Experience with ecommerce platforms and technologies, • Strong problem-solving skills, • Excellent written and verbal communication skills, • Bachelor's degree in Computer Science or related field, • Experience with cloud services (AWS, GCP, Azure) a plus, • Competitive salary, • Comprehensive health benefits, • 401(k) plan, • Generous PTO Work-Life Balance Take your birthday off! Enjoy Flex Fridays. Work Hard, Play Hard! Virtual Happy Hours and Game Nights! Don't want to come into the office? Great, we'll never ask you to! The salary range for this role is $80,000 to $100,000; however Acadaca considers several factors during the hiring process, including but not limited to, responsibilities, the role, experience, education, training, and key skills. Acadaca is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Acadaca is proud to work with many amazing brands around the world, and we are looking for a talented and motivated React engineer to join our team and help us continue to deliver outstanding results for our clients. remote work

Job DescriptionDescription: KS Engineers, P.C. (KSE) is a mid-size engineering and construction management firm ranking in the ENR Top 500 for design and ENR Top 100 for construction management. We are headquartered in Newark, NJ, with regional offices in New York City and Newburgh, NY; Philadelphia and Pittsburgh, PA; Mount Laurel and Mount Arlington, NJ; and Rocky Hill, CT. The firm provides engineering, construction management, and land surveying services to both public and private sector clients. KSE offers a full range of employee benefits, including medical, dental and vision insurances, a 401(k) plan, paid time off, Flexible Spending Accounts (FSAs), long- and short-term disabilities, and term life insurance. KS Engineers, P.C. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Position: Senior Construction Inspector - NYCDDC Reports to: Resident Engineer General Qualities: • Proactive self-starter capable of setting a positive example for the staff., • Has full technical and administrative responsibility for interpreting, organizing, executing, and coordinating projects/assignments., • Possess strong supervisory and technical skills; effective time-management skills; strong computer skills; strong mathematical skills including algebra, geometry, and trigonometry; excellent verbal, written, and interpersonal communication skills; able to mentor staff in functional areas of technical construction inspection activities., • Manages a major complex project and/or several routines/less complex projects. Technical Responsibilities: • Review daily field inspections, maintain inspection reports, and prepare progress reports., • Prepare, review, and negotiate monthly payment quantities., • Verify that construction activities comply according to contracts and specifications., • Interact and communicate project information with clients and project staff to clearly explain project staff to clearly explain project details for interpretation of plans and specifications., • Perform quantity and engineering computations, as well as understand plans and specifications., • Comprehend required inspection codes and requirements to carry out testing., • Track and record the quantities of materials received or used., • Order and release of materials for job site., • Schedule and set up project operations., • Order equipment, materials, and trucking., • Proficient in software required to complete assigned projects. Educational Requirements and Experience • BS degree from an accredited college with five years of experience or high school diploma or equivalent with 10 years of experience in construction inspection or management of infrastructure construction projects., • A valid driver’s license and personal vehicle to travel to and from project sites for site inspections., • Prior experience with NYSDOT, NYSTA, NYCDOT, and/or MTA TBTA., • Strong written and oral communication skills, including solid interpersonal skills. Professional Licenses/Registrations: • Valid NICET III certification in transport/highway construction required., • Current Water Main Inspection Certification confirming completion of NYCDDC Water Main Training for only water main construction inspections projects., • Other construction certification such as ACI, SAT, TCP, NACE, AWS, and OSHA 10 hours are preferred. Professional Development: • Actively participates in professional societies, industry organizations, and local civic organizations., • Encourages the staff to participate in professional societies, industry organizations and local civic organizations., • Encourages professional training and development and licensing (self and staff). KS Engineers, P.C. is an EOE/AA/VEV/Disabled Employer. KSE will not discriminate based on race, color, religion, creed, sex, national origin, marital status, age, disability, veteran status, citizenship status, or other status protected by law.

Job DescriptionAbout the Company: Redesign Health is a global venture builder that empowers founders to launch and scale transformative healthcare companies. We help founders overcome the unique challenges of healthcare innovation with an ecosystem and suite of capabilities supporting ideation and diligence, commercial traction, and execution. Since 2018, we have backed founders to launch more than 65 companies that have touched the lives of over 15 million patients and generated more than $1 billion in revenue. We believe we can create breakthrough innovations in global health technology through grit, technical excellence, and teamwork. We seek out builders who share our ambitious vision. Redesign Health is dedicated to launching AI-native healthcare ventures that transform how care is delivered and experienced. Like the startups we build, we embed AI deeply into all our operations, empowering our team to focus their creativity and expertise on the most complex challenges and high-impact opportunities. We're seeking curious, adaptable individuals who are excited to explore new ways of working, eager to constantly experiment, and committed to pushing the boundaries of what's possible at the intersection of human ingenuity and artificial intelligence. About the Job: We are seeking an ambitious, self-initiated, and product-minded Staff Engineer with a track record of excellence at top technology ventures to join our Engineering team. In this role, you will originate, lead, and deliver on critical, 0-to-1 agentic development projects across the company while maintaining the highest level of communicative and operational excellence in your relationships with your fellow leaders. You will join a global team, reporting to the Head of Technology. Interested and qualified candidates may hire and manage additional engineers as needed. What You’ll Do: Redefine how AI startups are built in healthcare. You will design and ship LLM-based technologies to unlock one of the world’s densest and highest-impact repositories of healthtech venture knowledge. You will constantly raise the bar on the level of technical sophistication that we embody and offer to our founders. Architect the first AI-native healthcare venture builder. You will deeply understand the hardest parts of building global health technology ventures at scale and lead projects to supercharge our initiatives in areas from healthcare domain agentic deep research to LLM-led knowledge graph construction. Create global patient impact. As a technologist-investor, you will source, assess, inspire, and close exceptional founders, then build alongside them to launch enduring, transformative health technology companies that serve millions of patients and providers around the world. What You’ll Need: We value and actively seek exceptional talent from all backgrounds and experiences, recognizing that excellence takes many forms. While diverse journeys inspire us, we believe the most successful candidates for this role will share the following characteristics: * You have spent 6+ years in a senior technical role at a major venture-backed startup. Bonus points if you have previously founded your own startup and built a product from 0-1, or have worked in an investment environment. * You are an expert in Python (and relevant frameworks like asyncio, FastAPI, PyTorch) and in at least one agentic framework (e.g., LangGraph, OpenAI Agents SDK, autogen, Google ADK/A2A). * You are proficient in and have built apps on the modern data stack, for example AWS, Docker, Kubernetes, Flask, Pydantic, Pytorch, Tensorflow, LangChain, Scikit-Learn, Pandas, and others. * You have built stateful agentic workflows, MCPs, and LLM tool hooks; bonus points if you have a pre-LLM background in knowledge graphs and semantic search. * Your code is in production at global organizations or is used by thousands or millions of individuals. * You hold a degree (or few) in Computer Science, Math, Physics, or a similar field from a top university. * Technology is one of your passions, but you find deep meaning in some other pursuit to which you’ve devoted your time, thought, and effort; for example a creative or athletic outlet, or a family business. Who You Are: Technology Innovator: You have a track record of proactively leveraging AI and other emerging technology tools to create extraordinary productivity and impact within your role. You have built systems and workflows for yourself more sophisticated than basic ChatGPT/LLM usage and are constantly experimenting with new ways to use technology to disrupt yourself. This role will be a great fit if the following deeply resonates: * You are a relentless, startup-native technologist with a high tolerance for ambiguity and an even higher speed of execution. * LLMs have rewired the way you get stuff done, and you’re constantly disrupting your own workflows. * You are a systems thinker whose happy place is imagining new ways of capturing and capitalizing on data. Where others see dormant, siloed information, you see the potential for API integrations, beautiful visualizations, and delightful workflows. * You proactively architect software interfaces for both human and AI users. * You have an outstanding executive presence and can skillfully elicit critical information about what to build. You help nontechnical leaders understand “the art of the possible” and they trust you because you deliver for them. * You have thrived in a group of passionate, talented, diverse, and low-ego individuals because these kinds of people love working with you. * You are deeply motivated to transform global healthcare and see technology as the true calling through which you can better the world. * You have accomplished something that most people haven’t: whether you started a company, won an international academic award, performed music around the world, or overcame difficult circumstances to succeed, it is clear that you have dedicated your life to pursuing excellence in your craft. Additional Information: This is a fully remote position. Full-time base salary of $180,000 to $220,000 plus a competitive equity & benefits package. The expected base pay range for this position is based on a variety of factors including qualifications, experience, and geographic location. It is rare to have an opportunity to truly, measurably change the world. We are so lucky to live in a time where all that stands between us and a lasting positive impact on millions of people is the right alchemy of passion, smarts, and hard work. We invite you to join us! Compensation Range: $180K - $220K

Job DescriptionSenior Python Engineer | $110,000 - $160,000 per year| Direct Hire – Onsite What Matters Most: • Competitive Pay: $110,000 - $160,000 per year, • Schedule: Full-time, Direct Hire, • Opportunity to work closely with technology leadership on key projects, • Organization that is experiencing rapid growthJob Description: Become a key contributor to growth and modernization as a Senior Full Stack Python Engineer in this dynamic and expanding team in the New York City, NY metro. We're seeking a talented individual with a strong passion for building robust and scalable applications using Python, coupled with expertise in PostgreSQL and AWS container services. In this role, you'll play a vital part in shaping the future of our annuity, insurance, and finance operations by automating investment management systems and collaborating on innovative solutions. If you're ready to leverage your skills and thrive in a supportive environment that values teamwork and fresh perspectives, we encourage you to explore this exciting opportunity. Responsibilities:, • Design, develop, and deploy robust and scalable full-stack applications using Python., • Work extensively with PostgreSQL databases, including schema design, query optimization, and data management., • Utilize AWS container services (e.g., ECS, EKS) for efficient and reliable application deployment and scaling., • Collaborate closely with product managers, designers, and other engineers to define and implement new features and improvements., • Participate in code reviews to ensure code quality and maintainability., • Troubleshoot and resolve production issues in a timely and efficient manner., • Contribute to the continuous improvement of our development processes and tools. Qualifications and Requirements:, • Bachelor's degree in Computer Science or a related field, • Proven experience as a Full Stack Engineer with a strong focus on Python development and modern front-end technologies., • Solid understanding of relational database principles and hands-on experience with PostgreSQL., • Experience deploying and managing applications within AWS container environments., • Background working in the annuity, insurance and/or finance industry with a track history of automating investment management systems., • Proficiency in data analytics and visualization tools is a plus., • Excellent problem-solving, analytical, and communication skills., • A proactive and collaborative approach to work.Benefits and Perks:, • $110,000 - $160,000 base salary, • Medical, Dental and Vision benefits, • 401(k) Your New Organization: Be a driving force in growth and modernization! This collaborative team in the Indianapolis, IN metro is expanding, and looking for individuals who want to make a real impact. You'll find both stability and exciting avenues for professional development in an environment that champions teamwork and fresh ideas. Your Career Partner: The Reserves Network, a veteran-founded and family-owned company, specializes in connecting exceptional talent with rewarding opportunities. With extensive industry experience, we are dedicated to helping you achieve your professional goals and shine in your field. The Reserves Network values diversity and encourages applicants from all backgrounds to apply. As an equal-opportunity employer, we foster an environment of respect, integrity, and trust in every aspect of employment. The base salary range for this position is $110,000 - $160,000, excluding benefits, bonuses, or other compensation. Your final salary will depend on your skills, qualifications, experience, location, and internal pay equity. Please note, hiring at the top of the range is uncommon to allow room for future salary growth.