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Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes).

Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community. At least 3 years of experience in software engineering (Internship experience doe

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.

Senior Software Engineer, Back End (Python, AWS ).Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breake

Lead Software Engineer (Python, AWS).Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and

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.

Senior Manager, Software Engineering, Machine Learning - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering 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 ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Engineer - API Platform (GraphQL)(Remote-Eligible) As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: * Articulate and evangelize a bold technical vision for your domain * Decompose complex problems into practical and operational solutions * Ensure the quality of technical design and implementation * Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability * Continue learning and injecting advanced technical knowledge into our community * Handle several projects simultaneously, balancing your time to maximize impact * Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Capital One is open to hiring a Remote Employee for this opportunity. * Bachelor’s Degree * At least 7 years of experience in General software * At least 7 years of experience in Software engineering and Solution architecture * 10+ years of professional experience coding in one of the following software engineering languages (Golang, Rust, JavaScript, Python or Java) * 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support * 5+ years of experience designing, building and operating large scale distributed systems * 5+ years of experience with AWS * 5+ years of experience with DevOps and AWS IaC * 3+ years of experience with GraphQL technologies * 3+ years of experience with Authentication and Authorization Technologies (implementing GraphQL security including fine grained authorizations, rate limiting , query complexity analysis) * 3+ years of experience with SQL and NoSQL databases * Experience operating with a Site Reliability (SRE) mindset and culture 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished 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).

Director, Distinguished AI Engineer (Remote-Eligible) 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, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * 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 * Master's degree in Computer Science, Computer Engineering, or relevant technical field * 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 keeping up to date with 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 is open to hiring a Remote Employee for this opportunity. 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished 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).

Distinguished Machine Learning Engineer- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelors Degree * At least 7 years of experience in Software Engineering * At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 6+ year of experience deploying machine learning models * Ability to understand deploying Machine Learning models in production environments at scale * Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning 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).

Distinguished Data Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in data engineering * At least 5 years of experience in data architecture Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * 1+ year of experience deploying machine learning models At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data 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 Full Stack Engineer- Python/React \nLocation: New York, New York- (On-site 4 days/week) \nHours: Full Time-Perm \nCompensation: $170-200K + Bonus\n This full time Full Stack engineering role is coming from a company that is building an AI powered due diligence platform that is used by private equity firms to help speed up the acquisition process and research. Based in New York City, you will be working with Python and React to build the features for a fast-growing product supported by strong leadership. They are taking on one of private equity’s major obstacles; everything you will be building will have direct impact to high value deals. They are looking for a senior Full-Stack engineer who can work 50/50 from backend to frontend and be flexible to 60/40. This role comes with high ownership, hands on building and learning, and the opportunity to shape a quickly scaling AI platform. Required Skills & Experience • Python \nReact \nFull-Stack engineering experience \nAbility to work on-site 4 days per week \n \n \nDesired Skills & Experience \n5+ Years of experience \nAI/ Data platform background \nWorked or been exposed to work within Fintech or Private Equity

This is an opportunity to join a fast-paced infrastructure team supporting secure, large-scale deployments of generative AI products for premier financial institutions. This is a full-time, onsite role based in New York City, working with AWS, Kubernetes, Terraform, and modern security and observability tooling to help deliver cutting-edge AI systems in highly regulated environments. You’ll work cross-functionally with internal engineering and AI teams, guiding security best practices, implementing compliance controls, and ensuring the integrity of AI-powered financial platforms. As a Cloud Security Engineer, you’ll be responsible for designing and enforcing secure-by-default architectures, embedding automated guardrails, and strengthening the overall security posture of production systems. You’ll lead initiatives to protect sensitive financial data, establish compliance frameworks (SOC 2, ISO 27001), and implement zero trust principles across environments. Required Skills & Experience Daily Responsibilities \n• 60% Designing and Hardening Secure Infrastructure \n• 40% Security Auditing, Incident Response, and Team Collaboration The Offer Bonus Eligible You Will Receive the Following Benefits \n• Medical, Dental, and Vision Insurance \n• Vacation Time \n• Stock Options Applicants must be currently authorized to work in the US on a full-time basis now and in the future. #LI-JF6

Cloud Security Engineer \n \nAs a Cloud Security Engineer, you’ll play a pivotal role in shaping the company’s security posture as it scales into the enterprise financial sector. Working alongside the infrastructure team, you’ll architect and implement robust cloud security systems that safeguard our AI platform and the sensitive financial data it processes—empowering our engineers to innovate quickly while maintaining the highest standards of security and compliance. \n \nThe company is located in New York, NY and will be 4 days onsite a week. \n \nWhat You Will Be Doing:\n • Design and implement cloud security architecture that enables secure-by-default patterns across all engineering initiatives., • Develop and maintain AWS security controls, including IAM policies, network segmentation, encryption, and centralized logging., • Build infrastructure-as-code (CDK, SST, Pulumi) with embedded security guardrails to streamline secure development., • Implement robust secrets management, encryption, and authentication frameworks to safeguard sensitive financial data.\n, • Lead compliance programs across CCPA, GDPR, and ISO 27001, complementing the existing SOC 2 Type II certification., • Automate evidence collection and continuous compliance using infrastructure-as-code and monitoring pipelines., • Conduct cloud security audits and remediate gaps against CIS Benchmarks and internal policy standards., • Collaborate with sales and customer success teams to meet enterprise security requirements and complete due diligence questionnaires.\n, • Participate in the security on-call rotation and lead incident response activities.\n, • Partner with engineering teams to embed security into SDLC workflows and CI/CD pipelines., • Implement software supply chain protections, including artifact signing, secret scanning, and dependency validation., • Design and enforce security controls for AI/ML infrastructure and data pipelines handling financial information., • Apply Zero Trust principles across cloud and internal systems.\n, • Mentor engineers on secure software design and architectural best practices.\n\nRequired Skills & Experience:, • 5+ years in cloud or infrastructure security engineering., • Deep hands-on experience with AWS security, including IAM, VPC architecture, encryption, and security services., • Strong expertise with infrastructure-as-code (AWS CDK preferred)., • Proficiency in scripting and automation (Python, Go, Bash, or similar)., • Understanding of attacker TTPs and modern cloud threat landscapes.

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, ___ aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY and open to candidates in Boston, MA; and the Washington, D.C. area. What You Will Do • Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions., • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains., • Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities., • Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions., • Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.What We Are Looking For, • Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience., • Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques., • Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications., • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines, • Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails), • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.How To Stand Out from the Crowd, • Experience with solving machine learning problems using H2O products , Python, R., • Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi., • Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc.Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $150,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit______to learn more. #LI-Hybrid

Role: ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: 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. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! PitchBook’s Machine Learning Engineer is responsible for using machine learning and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for our users. This role requires a strong desire to learn and deliver value through scalable machine learning systems. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. Primary Job Responsibilities: • Apply NLP and Machine Learning: Utilize NLP and ML techniques to create novel views of private industry data, enhancing decision-making and insights, • Extract Insights from Textual Data: Analyze unstructured data such as articles and conversations to identify unique signals of private company performance, aiding market trend prediction, • Collaborate Efficiently: Partner with Product and Engineering teams to automate processes for large-scale data, improving data management and analysis, • Stay Informed and Lead: Stay updated on industry trends in Data Science and ML, actively contributing to the development of best practices and thought leadership, • Support the vision and values of the company through role modeling and encouraging desired behaviors, • Participate in various company initiatives and projects as requested Skills and Qualifications: • Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred, • 2+ year of experience building predictive models in a production environment, • 2+ years of demonstrated experience with natural language processing (NLP), • 2+ years of demonstrated experience with Python or other object-oriented programming frameworks, • Demonstrate experience using complex SQL queries for data extraction and transformation, • Experience in transformer-based language models, • Proficient in deep learning frameworks (i.e TensorFlow and PyTorch), • Strong communication and data presentation skills, • Strong problem-solving ability, • Ability to communicate complex analysis in a clear, precise, and actionable manner, • Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook: Physical Health • Comprehensive health benefits, • Additional medical wellness incentives, • STD, LTD, AD&D, and life insurance Emotional Health • Paid sabbatical program after four years, • Paid family and paternity leave, • Annual educational stipend, • Ability to apply for tuition reimbursement, • CFA exam stipend, • Robust training programs on industry and soft skills, • Employee assistance program, • Generous allotment of vacation days, sick days, and volunteer days Social Health • Matching gifts program, • Employee resource groups, • Subsidized emergency childcare, • Dependent Care FSA, • Company-wide events, • Employee referral bonus program, • Quarterly team building events Financial Health • 401k match, • Shared ownership employee stock program, • Monthly transportation stipend *Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation • Annual base salary: $125,000-$180,000, • Target annual bonus percentage: 10% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB: We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It’s our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we’ve heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI-MS1 #LI-Onsite

SolarWinds Engineer Newark, NJ Hybrid Complete Description: Key Responsibilities Architect, deploy, and optimize SolarWinds modules (NPM, SAM, NTA, DPA) and LogicMonitor platforms across transit systems. Develop custom dashboards, alerts, and reports aligned with operational KPIs and SLA thresholds using both SolarWinds and LogicMonitor. Integrate SolarWinds with cloud platforms, enterprise systems, and third-party tools for unified observability. Partner with application owners to provide out-of-the-box and custom monitoring. Collaborate with cybersecurity, cloud, and operations teams to ensure resilient monitoring coverage. Maintain and enhance monitoring for infrastructure operations. Document architecture, workflows, and escalation protocols for internal and vendor stakeholders. Required Qualifications 5+ years of hands-on experience with SolarWinds in enterprise or public sector environments. 3+ years of experience deploying and managing LogicMonitor in hybrid or cloud environments. Strong command of SNMP, WMI, NetFlow, and database polling techniques. Proficiency in scripting (PowerShell, Python) for automation and custom integrations. Experience with hybrid environments (on-prem/cloud), especially Azure or AWS. Familiarity with database queries for custom database monitoring. Familiarity with ITIL practices and incident response workflows. Preferred Experience Demonstrable experience in critical infrastructure domains. SolarWinds Certified Professional (SCP) or equivalent certifications. LogicMonitor Certified Associate or Professional is a plus. Experience with Orion SDK and API-based data extraction.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Senior Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction. \n What You'll Do • Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development, • Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems, • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization Who You Are • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models, • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders, • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus, • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS, • You care about agile software processe Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have, • This team operates within the Eastern Standard time zone for collaboration \n The United States base range for this position is $176,166 $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Our client, a global asset management firm, is seeking a Junior DevOps Engineer to support their internet-facing infrastructure in a high-performance, technology-driven environment. Location: New York City (on-site) Experience: 1- 3 years in DevOps or SRE Language: Fluent English required (Mandarin not necessary) Work Authorization: Visa sponsorship available Key Responsibilities: * Build and maintain CI/CD pipelines * Automate infrastructure deployment and monitoring * Manage containerized environments using Docker/Kubernetes * Support cloud infrastructure (AWS, GCP, or similar) * Collaborate with development and engineering teams to ensure system reliability Tech Stack: Linux, Docker, Kubernetes, Python/Bash, Terraform, AWS/GCP, GitLab/Jenkins Qualified candidates with a strong DevOps foundation and interest in financial technology are encouraged to apply.

We’re hiring an Applied AI Engineer to push the boundaries of our Cofounder agent. You’ll own core backend systems and applied LLM work: advancing agent reliability and autonomy, building evaluation pipelines, and shipping techniques that measurably improve agent performance. This is a hands-on role with high ownership across research-to-production: prototyping, instrumenting, evaluating, and deploying improvements that show up directly in user outcomes. * Design and implement agent improvements end-to-end: prompting strategies, tool selection, action planning, memory usage, safety/guardrails, and recovery paths * Build robust evaluation pipelines for the agent: offline evals (golden tasks, regression suites, behavior tests), online metrics (latency, success rate, fallout modes, cost efficiency), and experimentation frameworks (A/B, canaries, guardrail thresholds) * Productionize applied LLM techniques: function/tool-calling orchestration, self-reflection, retrieval/RAG, multi-agent handoffs, caching/embedding strategies, and hallucination reduction * Improve core backend systems: reliable job orchestration, retries/backoff, idempotency, and auditability; scalable memory and context routing; data pipelines across Gmail, Slack, Notion, Linear, Google Workspace, etc.; observability and tracing for agent actions/outcomes * Partner with product and infra to define success metrics and ship fast, safe iterations * Write clean, well-tested code; document design decisions and runbooks * 4+ years backend engineering experience, preferably Python (we care about impact over years) * Hands-on LLM experience: prompt engineering, function-calling, retrieval, embeddings, evaluation design; you’ve shipped LLM features to production * Track record building evaluation harnesses and using them to drive improvements (regression suites, task success metrics, cost/runtime tradeoffs) * Solid distributed systems fundamentals: concurrency, reliability, performance, data modeling, lifecycle management * Pragmatic experimentation: hypothesis → prototype → measured improvement → rollout * Excellent debugging and instrumentation skills; you enjoy finding and fixing edge cases in the wild * Experience with agent frameworks, tool orchestration, and memory architectures * RAG systems in production (chunking, retrieval quality, freshness strategies) * Redis, Postgres/Supabase, queues (e.g., Celery/Arq/SQS), and event-driven designs * Observability stacks (Datadog, OpenTelemetry), and cost/latency optimization * Mission: build autonomous agents that run entire businesses * Impact: ship core agent improvements that users feel immediately * Velocity: small, senior team; fast decision cycles; high ownership * Stack: modern tooling across AI orchestration, integrations, and memory systems * Competitive salary and meaningful equity * Comprehensive benefits and flexible work setup

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.

Senior Software Engineer, Machine Learning Current is a leading consumer fintech platform transforming financial access for everyday Americans with over 5 million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. We work across a broad set of domains, including user-facing products like liquidity offerings and reward programs, infrastructure for machine learning and experimentation, real-time fraud detection and identity protection, and large-scale transaction processing across multiple payment rails. The Machine Learning (ML) Engineering function at Current is dedicated to delivering robust, scalable, and production-ready ML solutions that power our core banking products. ML engineers manage the full lifecycle of ML model development, from design and training to deployment and maintenance, while ensuring seamless integration into production use cases. They bring deep experience in distributed systems engineering, enabling the design of resilient, high-performance infrastructure. They also build and maintain monitoring systems for production deployments, supporting real-time operations, governance, and continuous improvement to deliver measurable business value at scale. With data-driven products at the heart of Current’s strategy, the need for reliable, responsive, and production-grade ML solutions has never been higher. ML engineering ensures that the models shaping our liquidity offerings, member safety, and efficient operations are not just innovative but operationally robust and fully aligned with business objectives. WHAT TO EXPECT: • Integration with Core Engineering:, • ML Engineering is a pivotal part of the broader engineering organization. While sharing many standards, practices, and methodologies with traditional engineering teams, ML engineers bring specialized knowledge in machine learning frameworks, scalable infrastructure, data engineering, and model operations., • Collaboration with Data Experts:, • ML Engineering collaborates with Data Science in the designing, developing, and deploying scalable machine learning models and features into production. They bridge the gap between data science research and engineering by optimizing model performance, ensuring reliability, and integrating models into production systems. This role involves working closely with Data Scientists to understand model requirements, build efficient pipelines, monitor model health, and support continuous improvement of ML solutions in a production environment., • Partnering with Business Stakeholders:, • ML engineers act as technical ambassadors, clearly communicating complex concepts and collaborating across product, data, and business domains. Their business acumen ensures that technical solutions are always aligned to company goals and member needs. ABOUT YOU: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, • 5+ years of experience in engineering, with 2+ years in ML engineering, • Demonstrated success in contributing to production ML systems at scale., • Expertise in Java, Python, ML frameworks (SageMaker, Vertex AI, Kubeflow, etc.), cloud platforms (AWS, GCP, Azure), and modern MLOps practices., • Strong understanding of data privacy, security, and compliance in ML environments. BENEFITS: • Competitive salary, • Meaningful equity in the form of stock options, • 401(k) plan, • Discretionary performance bonus program, • Biannual performance reviews, • Medical, Dental and Vision premiums covered at 100% for you and your dependents, • Flexible time off and paid holidays, • Generous parental leave policy, • Commuter benefits, • Fitness benefits, • Healthcare and Dependent care FSA benefit, • Employee Assistance Programs focused on mental health, • Healthcare advocacy program for all employees, • Access to mental health apps, • Team building activities, • Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

Senior IT & Cloud Infrastructure Engineer Working at Drawbridge At Drawbridge, we are committed to attracting and retaining the best individuals who enjoy working in a dynamic environment. You will be joining an agile team that will help you at every level of your career to identify and use your strengths to grow. This is an opportunity to work at a company that is open to new ideas as we build a dynamic and diverse environment for our employees. The work will be challenging and rewarding. You will gain hands on experience from a team who strives to see its employees succeed. Working in Engineering You will be joining a team of IT professionals who perform tasks ranging from end user support, remote Linux server deployments, DevOps based software deployments, and management of cloud infrastructure and services. In this role, you will primarily administer, support, and secure user devices and applications. You will also be expected to assist senior engineers in cloud infrastructure configuration and supporting our development team. We are always exploring new technologies, so a willingness to learn is a must. We are growing rapidly and are looking to hire a Sr. IT & Cloud Infrastructure Engineer to join our New York City Office. This role reports to the Lead Platform Engineer. Our Values • Innovation: As the market leader, Drawbridge draws on its in-depth, collective expertise in its constant effort to innovate both our platform and our approach to service, • Integrity: Our clients and partners lean on us because they know we are trustworthy and honor what we say, • Collaboration: We are here to win, and we only win when we work together across team, • Diversity: We are inclusive. We honor, respect, and appreciate each other’s differences and perspectives Responsibilities, • Responsible for security-focused deployment, administration, maintenance and monitoring of Windows and Linux server and container environment, • Automate administration and management tasks using scripting and automation tools, • Administration of Azure/AWS cloud environments, • Troubleshooting and maintenance of VDI environment, • Security-focused administration of third-party SaaS solutions, • Assist with responding to security alerts, • Ongoing improvement to overall security posture, • Work with software development team to support infrastructure needs in development, QA, and production environments, • 6+ years of Azure and/or AWS infrastructure administration experience, • Experience with Endpoint and Mobile Device Management solutions, • Experience with Python and/or PowerShell scripting, • Understanding of basic networking concepts, • Business orientated and result driven individual with a desire to grow in a developing company, • Ability to effectively communicate with distributed team, • Self-motivated, comfortable managing a diverse workloadAdditional Qualifications/Pluses, • Experience with Microsoft Defender toolset, • Experience with Linux operating systems, • History working with WSL instances, • Experience with Infrastructure as Code tools, • Familiarity with DevOps tools and practicesWe Offer, • Competitive compensation package, • Employer Retirement/401(k) plan with company contribution, • Medical, Dental, Vision Coverage, Disability, and Life Insurance, • Health Savings Account (HSA) or Flexible Spending Account (FSA), • Generous Paid Time Off Policy, • Tuition Reimbursement, • Healthy Work/Life Balance, • Phone Reimbursement Perk About Drawbridge Drawbridge is a premier provider of cybersecurity software and solutions to the alternative investment industry. Its proprietary platform helps firms exceed and manage their governance, risk, and compliance (GRC) requirements while combatting sophisticated cyber threats and third-party risks. Drawbridge's platform connects business, compliance, and IT to empower firms to centralize and manage their most robust security programs, improve their risk profile, and raise institutional capital. With a tested team focused on value delivery and a 1000+ strong customer base, Drawbridge offers unmatched customer service and flexibility to help businesses proactively manage vulnerabilities, plan for growth, and reduce complexity. At Drawbridge, we are committed to attracting and retaining the best individuals who enjoy working in a dynamic environment. Our Hiring Process We want to hire the most qualified individuals. We’ve designed a multi-step selection process that may include interviews and assessments. We render decisions quickly and we’re eager to get to know you. Affirmative Action and Equal Opportunity Employer Drawbridge Partners, LLC is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, non-disqualifying physical or mental disability, protected veteran status, or any other legally protected characteristic, in accordance with applicable law. All employment is decided on the basis of qualifications, merit, and business needs.

Rilla builds the world’s leading conversation intelligence software for offline commerce. By recording, analyzing, and indexing conversations, our platform supplies unparalleled alpha to the critical, physical businesses that constitute the backbone of our economy. Our purpose is to bring the technology of the 21st century’s most innovative companies to the rest of the economy. As a side effect of this mission, we’ve become one of the fastest growing companies in history. In numbers, that means 0→$40M in 3.5 years, growing 15% MoM, Net Revenue Retention above 170%, an NPS higher than the iPhone’s, and profitability. ML Engineers at Rilla are redefining how humans interact with machines—using voice, intelligence, and a whole new class of data. Every day, you’ll architect and ship AI-powered systems that make it possible for people to talk to Rilla like they would a human. You’ll help build agents that operate natively on real-world audio, extract insights from conversations no one else can even access, and push the boundaries of what’s possible in AI. We’re building: * A voice-first interface that lets users command Rilla directly through natural speech * A search engine that uncovers business-critical insights from voice data that’s never been searchable * A first-of-its-kind audio intelligence pipeline—designed for the messy, noisy, wildly unstructured conversations that happen in the real world, not in an online meeting As an early ML engineer, you’ll shape the foundations of our AI stack and drive the invention of new techniques, tooling, and models. You’ll work across the full AI lifecycle—from data acquisition to real-time inference and user-facing chat interfaces. If you’re obsessive about your craft, think like a founder, and want to be on the frontier of voice and offline AI, this is your team. The scale of the problems we’re solving is unmatched—and the surface area for ownership is only getting bigger. * We work primarily in Python and TypeScript, with FastAPI for API development * AI/ML technologies including PyTorch, OpenAI APIs, Baseten, and LiteLLM * Cloud infrastructure with AWS and LiveKit for real-time communications * PostgreSQL, Redis, and S3 for data storage * An infinite learner. Someone who is relentless in their curiosity. * A customer obsessive. Someone who deeply care about delighting customers and solving real pains, not vanity metrics. * A winning attitude. You thrive with extreme accountability, learning as a team, and both giving and receiving rapid feedback. * Extreme empathy. Our customers are not tech companies. They live and work in the real world. Empathy is critical to arriving at correct solutions. * Unafraid of failure. You take risks. You see failure as an opportunity to learn, grow, and be better the next time. In a weird way, you trick your brain into being excited when you fail, because it means you got a new opportunity to learn more. * Experience building and deploying ML systems in production * Familiarity with owning the model lifecycle from inception to production. * Comfort working directly with customers to understand their needs and solve real-world problems Please don't join if you're not excited about: * Building an AI product for an industry untouched by modern software * Constantly talking to and visiting customers in the field * Working ~70 hrs/week in person with some of the most ambitious people in NYC * Attempting to build a generational company, and the intensity required to do so The estimated salary range for this position is $200,000 - $300,000/year. Successful candidates with competing offers will receive matching and competitive offers. Total compensation for this position may also include Incentive Stock Options, sign-on bonus, and other potential future incentives. 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 empower Rilla employees in removing roadblocks to achieving their life’s work. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Rilla. * Medical, dental, and vision insurance * Breakfast, lunch, dinner, and supplementary food and drink — 6x a week * Gym membership * Commuter benefits * Relocation assistance * Take what you need paid time off, not accrual based * $1,000 stipend for learning and personal growth * $1,500 a month rent stipend * Tech equipment

Are you a seasoned technical leader who thrives at the intersection of AI innovation and enterprise impact? Do you excel in architecting scalable AI systems while mentoring teams to push the limits of what's possible with large language models (LLMs)? Are you passionate about delivering transformative solutions using cutting-edge AI paradigms like Retrieval Augmented Generation (RAG), AI Agents, and custom model fine-tuning? If so, we invite you to apply to join our forward-thinking AI Platform Team. As a Senior Staff Engineer Full Stack Engineer at Ridgeline, you will play a strategic role in shaping our AI capabilities, setting the technical vision, and delivering game-changing tools for the investment management industry. With your deep expertise in AI systems, you’ll lead efforts to solve complex challenges, enhance platform capabilities, and drive innovation using state-of-the-art technologies. What will you do? • Lead the design and delivery of next-generation AI capabilities, including integrating LLMs, RAG workflows, and AI Agents into Ridgeline’s platform., • Define and execute the AI strategy, collaborating with product and engineering leaders to identify high-value opportunities., • Architect scalable, robust AI pipelines that can operate seamlessly in cloud-based production environments., • Research and implement state-of-the-art AI models and algorithms, ensuring Ridgeline maintains a competitive advantage., • Mentor engineers across the organization, fostering technical growth and advancing a culture of innovation., • Collaborate with cross-functional teams to deliver end-to-end AI-driven solutions, aligned with customer needs and business goals., • Establish best practices for AI development, ensuring performance, reliability, and ethical AI standards., • Stay ahead of AI advancements and evaluate their applicability to Ridgeline’s platform, sharing insights to keep our team at the forefront of AI innovation. Desired Skills and Experience • 10+ years of software engineering experience, with at least 5 years focused on AI/ML development., • Proven track record of architecting and deploying machine learning systems, particularly LLMs, in production environments., • Deep expertise in AI Agent frameworks, Retrieval Augmented Generation (RAG), and fine-tuning of large models., • Exceptional programming skills in Python and familiarity with languages like Kotlin or Java., • Strong knowledge of cloud platforms (AWS preferred) and distributed systems., • Demonstrated ability to lead and mentor engineers, driving technical excellence across teams., • Strong communication and collaboration skills to navigate complex projects and deliver impactful solutions. Bonus • Experience with Reinforcement Learning (RL), multi-agent systems, LLM model evaluation., • Publications in AI conferences or contributions to high-profile open-source projects., • Knowledge of investment management workflows and opportunities for AI-driven solutions in finance. About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry. Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by The Software Report as a “Top 100 Software Company,” and by Forbes as one of “America’s Best Startup Employers.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the ___. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits [For New York and California Based Only] The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below. The typical starting salary range for this role is: $200,000-$235,000. The typical starting salary range for this role in the select locations listed above is: $212,500-$250,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our ___ for a more comprehensive overview of our perks and benefits. #LI-Hybrid

VDC Engineer US-NY-New York Job ID: 2025-3209 Type: As Needed of Openings: 1 Category: Information Technology The LiRo Group Overview We have an immediate need for a VDC Engineer for our New York City Office in lower Manhattan. LiRo-Hill Virtual Design & Construction Operations (VDCO) is a multidisciplinary practice seamlessly integrating technology and innovation for the built environment. Our team has a long history of delivering complex, ambitious projects utilizing the latest technology. The team consists of full-time staff with backgrounds and focuses ranging from Architecture, Engineering, Construction Management and Operations. We implement BIM, Reality Capture, 3D coordination, Project Controls, Data Analytics, BIM Implementation Consulting, and much more. Come join our team! We are looking to build services and capabilities through the growth of our key asset - our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to be a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Metro Park, NJ. Responsibilities • Assist in Scan-to-BIM workflows including LiDAR scanning and point cloud processing., • Produce highly detailed 3D models using Revit, consistent with AEC industry guidelines, and LiRo standards and practices., • Create design and construction documentation including axonometric 3D views, sections and elevations., • Create 4D models using resource loaded P6 schedules and Fuzor/Synchro., • Create renderings and simulations on an as-needed basis for marketing or project use, • Use tools such as Navisworks and ACC to support project collaboration and coordination across multiple disciplines., • Interface with Construction/Design teams to coordinate BIM content and approaches, model exchanges, quality control, and delivery., • Visualize and create reports on an ongoing basis., • Troubleshoot BIM software and platform issues and stay current with emerging tools and technologies. Qualifications Required Qualifications: • Bachelor’s degree or higher in Architecture, Engineering, Civil Engineering, Construction Management, or an AEC-related discipline., • Min. 3 years of hands-on experience working as a BIM/VDC Professional., • Excellent verbal and written communication/presentation skills, with the ability to express ideas clearly and professionally to both technical and non-technical audiences., • Ability to read, understand, and interpret contract drawings, specifications, scopes of work, and project schedules., • Proficiency in Autodesk products such as Revit, AutoCAD, Civil 3D, Navisworks, and ACC Model Coordination., • Strong Revit Modeling experience., • Experience working with Public Sector clients / projects is highly preferred., • Experience with software development using Revit APIs, Python, and Dynamo is a plus., • Familiarity with Bentley software, ArcGIS, AutoCAD, Primavera P6, or IBM Maximo is advantageous., • Valid Driver's License, ability to drive to job sites., • This position requires often driving to, working from client/field offices in and around NYC areas., • The candidate must be authorized to work in the USA., • Visa Sponsorship is not available. Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment -Compensation: Minimum: $75,000: Maximum: $115,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 PI418d4a9b4e66-37820-38829915

As a Senior Backend Software Engineer - Data Infrastructure at Regard, you’ll play a leading role in building our products. You’ll be responsible for designing and developing critical backend services and driving them end-to-end through the full product lifecycle: ideation, planning, design, execution, deployment, and iteration. In addition to core service development, you’ll help lay the foundation of our data infrastructure, building reliable services and integrations that make structured data accessible, scalable, and performant. This includes designing APIs and storage layers that interact with healthcare data, leveraging modern data formats and warehouse technologies, and ensuring our systems are built for both transactional reliability and analytical insight. We expect our senior engineers to be true technical leaders by driving architectural decisions, mentoring teammates, and leading major projects that help set the bar for engineering excellence. You'll collaborate closely with product, design, and fellow engineers to ship high-quality solutions that empower physicians and improve patient care. • Frontend: TypeScript, React, Tiptap, • Backend: Python (FastAPI, Flask), PostgreSQL, Redis, Celery, • Infrastructure & DevOps: Docker, Kubernetes, AWS (SQS, SNS), GitLab CI/CD, • APIs & AI: OpenAPI, OpenAI (GPT models), • Collaborate with product and design team members to best design medium to large projects balancing speed to market, user experience, business goals, and technical architecture quality, • Own medium to large backend services and drive improvements across system design, observability, testing, performance, and support., • Drive backend development practices, patterns, and processes along with the other Regard backend experts, • Mentor and review code from less experienced developers in our backend services across backend job processing, API, and other services, • Maintain and improve the quality of the codebase and tooling in your area of responsibility by proactive fixes and improvements and through identifying and proposing projects to improve the overall backend codebase, • Participate in operational activities supporting product areas you own including on-call, monitoring, and production support, • Contribute as necessary across the stack (front end, infrastructure, AWS, etc) in order to unblock projects, • BS in Computer Science or equivalent experience, • 6+ years of experience with software development in one or more programming languages, • Proficient in Python with demonstrated ability to write and maintain production-quality code, • Able to participate in on-call operational support for their areas of responsibility, • Able to travel up to 4 weeks a year for company co-working and/or retreat weeks, • Experience with k8s, AWS services (serverless, etc), OpenAI services, • Familiarity with data tooling, including AWS data warehousing and analytics (e.g., Athena, Redshift) and common data formats (Parquet, ORC, Avro), • Experience working on a mature enterprise SaaS technology product, • Exposure to startup and/or high growth environments, • Experience working with health technology, • Strong verbal and written communication skills, • 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, • We prefer hiring people within commuting distance of our NYC office because we value getting together in person regularly, • 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

The Senior e-Trading Engineer, VP is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. We are seeking a highly skilled Senior Java Developer to join our Cash Equities Technology team. This role is ideal for developers passionate about building low latency, high throughput systems that drive electronic Equities trading. The successful candidate will combine deep Java expertise with a strong understanding of the equities business, the FIX protocol and OMS while demonstrating a collaborative and delivery-oriented mindset. Responsibilities: • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements, • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint, • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation, • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals, • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions, • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary, • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency., • Design, develop, and optimize low latency and high throughput Java applications for Equities trading., • Implement scalable, ultra-low latency solutions for real-time order handling., • Develop and maintain integration with the FIX protocol to support electronic trading workflows., • Partner closely with traders and business analysts to deliver mission-critical solutions., • Create and maintain robust test coverage, including complex unit and integration tests using Cucumber., • Contribute to system architecture, performance tuning, and scalability improvements., • Work with DevOps and support teams to ensure operational stability and high system availability., • Leverage AI-powered development tools like GitHub CoPilot to boost productivity and innovation. Qualifications: • 6-10 years of relevant experience in Apps Development or systems analysis role, • Proven experience in low latency, high throughput system design and optimization., • Strong knowledge of Equities trading systems and the FIX protocol., • Proficient with Linux development, including Shell scripting and Python., • Hands-on experience with IntelliJ IDEA and Visual Studio Code., • Strong grasp of Gradle, Maven, and automated build processes., • Familiarity with DevOps tools such as Artifactory, GitHub, and uDeploy., • Experience with Single/multithreaded programming, garbage collection tuning, and memory management., • Familiarity with messaging systems like Kafka or Solace., • Understanding of modern CI/CD pipelines and containerization (Docker, Kubernetes)., • Experience working in Agile/Scrum teams and globally distributed environments., • Excellent problem-solving skills, with a focus on root cause analysis and continuous improvement., • Strong communication skills and a collaborative, team-oriented attitude Education: • Bachelor’s degree/University degree or equivalent experience, • Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Primary Location: Jersey City New Jersey United States Primary Location Full Time Salary Range: $142,320.00 - $213,480.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Anticipated Posting Close Date: Aug 01, 2025 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review ___. View Citi’s ___ and the ___ poster.

The user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips. Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030. The Growth and Data team at Hebbia is the engine that fuels the entire AI platform with the data it needs to reason and retrieve. We’re responsible for sourcing, indexing, and enriching content from every corner of the knowledge universe — spanning private enterprise data, public data, and third-party platforms — and delivering it seamlessly to power user workflows and agentic research. We build robust integrations with platforms like Snowflake, S3, SharePoint, Dropbox, and beyond, enabling organizations to securely unify their data ecosystems. From discovery and search to retrieval-augmented deep research within chat matrix frameworks, the data we deliver quite literally powers every part of the AI platform. Our team works in person 5 days a week at our SoHo office in NYC. As a Backend Software Engineer on Hebbia’s Growth and Data team, you will build and maintain the powerful backend systems that drive user engagement and fuel Hebbia's continued expansion. Your role involves architecting and implementing robust APIs, services, and infrastructure that empower customers with tailored, high-value experiences—such as personalized data views, streamlined management tools, and powerful integrations that uniquely amplify the value of Hebbia. Collaborating closely with product teams, designers, and frontend engineers, you'll take ownership of core backend features from initial design through deployment, ensuring scalability, reliability, and performance. Your technical expertise, strategic thinking, and proactive problem-solving will directly impact customer success, unlocking innovative solutions that accelerate adoption and growth of Hebbia’s platform. • Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs., • Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume., • Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents., • Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred., • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering., • Proficiency in building backend and API systems using technologies such as Python, Java, or Go., • Extensive experience with cloud platforms (e.g., AWS), • Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis, • Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders., • Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment., • Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies., • Embraces rapid prototyping with an emphasis on user feedback, • Autonomous and excited about taking ownership over major initiatives, • Bonuses:, • Experience building agentic systems or LLM enabled products., • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc). The salary range for this role is $160,000 to $300,000, covering levels from junior to principal. Final leveling is determined through our assessment process, and exceptions to this range may be made for candidates with qualifications that fall outside our standard framework. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite

Writer is seeking an experienced Developer advocate focused on events and community engagement to join our developer relations team at Writer. An accomplished storyteller with a strong technical background, this developer advocate will represent Writer at events, on social media, and in AI engineering communities to drive awareness of Writer research and technology and adoption of the Writer platform. You will collaborate with product marketing and our research and technology teams to develop high quality technical presentations, represent Writer at engineering and research events through sponsorship and speaking, engage with the AI engineering community on social media and platforms like Discord, and find other creative ways to ensure that the great work Writer is doing is front and center in these communities. When applying, please submit examples of your public speaking that are relevant to your work experience (e.g. recordings of previous talks, slides). If you do not, your application will not be considered. * Speak at high impact AI engineering conferences and meetups in AI hubs like SF, NYC, Chicago, and Austin. * Partner with the strategic events team and work at sponsored technical events, such as technical and research conferences. * Proactively engage in AI engineering, ML, and Python communities through social media and platforms like Discord and Reddit. * Run and participate in hackathons and workshops, partnering with other development platforms when it will magnify impact. * Pursue additional opportunities to promote Writer’s models and technology, such as submitting to leaderboards or building engaging public demos. * Appear on podcasts and streams discussing Writer’s research and technology * Assist the rest of the team with technical content creation, docs, and SDKs when needed. * Independently and proactively manage projects in coordination with the team, adhering to deadlines and contributing to our overall developer experience strategy. * Report to our Director of developer relations. * You are obsessed with technical storytelling and deeply understand the critical importance of balancing education with marketing impact. * You understand the nuances of different technical personas working in AI and how to authentically engage with them: researchers, developers, and IT. * You bring at least three years of experience as a developer advocate, software developer, AI/ML engineer, or related role, with a proven track record of impactful public speaking and community engagement. * You have experience with AI and ML, with additional proficiency in Python. For example, you'd feel at home attending and presenting at LLM Paper Clubs. * You have strong analytical and problem-solving skills. * You quickly adapt to new domains and are able to communicate complex ideas and concepts effectively. * You are able to work independently and collaboratively. * You put the audience first, ensuring content is accessible and engaging. * You’re willing and able to travel (30-50%). * Formal or otherwise documented education in machine learning, artificial intelligence, or AI engineering is preferred * Experience developing technical content for an AI company * Experience working in a fast-paced startup environment * Familiarity with building applications that use LLMs 🍩 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 ___.

___ develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 500. In just over 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale. Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating, evaluating, and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), and board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations. The Cloud & DevOps Engineer role is an engineering position on our Platform team focused on ensuring that Distillery, our AI platform, is easily deployable, scalable, and reliable across customer-hosted cloud and on-prem environments. This is a hands-on role where you will support infrastructure deployments, contribute to automation pipelines, and collaborate with senior engineers to improve the reliability, security, and performance of our systems. You’ll gain experience across cloud infrastructure, developer experience tooling, and enterprise DevOps practices while helping shape how AI is deployed at the world’s largest companies. * Deploy & Manage Cloud Infrastructure – Collaborate with internal teams and customer engineering groups to deploy Distillery in public cloud, hybrid, and on-prem environments. Support scalable, observable, and resilient systems using Kubernetes and cloud-native architecture patterns. * Build & Maintain Infrastructure as Code – Contribute to and evolve reusable, modular Terraform configurations that enable consistent deployments across AWS and Azure. Emphasize clarity, versioning, and environment parity using GitOps and IaC best practices. * Automate & Reduce Operational Overhead – Identify opportunities to eliminate manual effort across the platform lifecycle—from provisioning to configuration management—and implement automation to improve reliability, speed, and security. * Enable Developer Productivity & Self-Service – Build internal tooling and abstractions that empower developers to deploy, test, and monitor services independently, using best practices in CI/CD, environment provisioning, and local development workflows. * Secure & Harden Deployments – Work across infrastructure and application layers to apply security controls, manage access, and meet enterprise compliance standards. Support threat modeling, secrets management, and secure service-to-service communication. * 2–5 years of experience in platform engineering, DevOps, or cloud infrastructure roles. Hands-on experience with Kubernetes, including deploying and managing containerized workloads. * Proficient with Terraform or similar Infrastructure as Code tools. * Experience with CI/CD pipelines, using GitHub Actions, GitLab CI, ArgoCD, or Flux. * Familiar with observability tools like OpenTelemetry, Prometheus, Grafana, or DataDog. * Experience with at least one major cloud provider (AWS, Azure, or GCP); multi-cloud exposure is a plus. * Basic understanding of networking and systems, including VPCs, DNS, load balancers, and access controls. * Proficient in scripting with Python, especially for automation, internal tooling, or CI/CD workflows. * Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. * Strong communication and collaboration skills, with the ability to work across engineering and customer teams. * The opportunity to shape AI infrastructure for Fortune 500 companies. * A role at the intersection of cloud, AI, and automation, working alongside elite engineers and AI researchers. * Competitive salary, benefits, and equity in a high-growth startup. * Hybrid work environment – 3 days a week in our NYC office. If you’re passionate about scalable infrastructure, automation, and making AI systems deployable, we’d love to hear from you. Apply now and help define the future of AI-powered enterprise infrastructure! Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. This role will be based in our office in New York City.

Writer is seeking an experienced developer advocate focused on technical content to join our Developer Relations team at Writer. An accomplished storyteller with a strong technical background, this developer advocate will produce world class technical content to drive awareness of Writer research and technology and adoption of the Writer platform. You will work with product marketing, lifecycle marketing, developer experience, and AI and software engineering to develop high quality technical content across our engineering blog, newsletters, launch assets, and more in a variety of mediums. When applying, please submit examples of your technical content that are relevant to your work experience (e.g. blog post, video, or related material). If you do not, your application will not be considered. * Deliver world class technical content across mediums telling the story of Writer’s research and technology. * Develop educational technical content across mediums for the Writer platform (Agent Builder, API, and SDKs) and partner integrations. * Act as our “internal journalist,” working with our AI and engineering teams to develop stories on the interesting work they’re doing that we can shout from the rooftops. * Partner with Product Marketing and Content to develop launch assets (written and video) for research paper publication, model launches, and new technology announcements. * Partner with inbound and lifecycle marketing to develop gated technical content and own developer newsletter content. * Assist other developer relations and experience team members with docs, SDKs, and event staffing when needed * Independently and proactively manage projects in coordination with the team, adhering to deadlines and contributing to our overall developer experience strategy. * Report to our Director of developer relations. * You are obsessed with technical storytelling and deeply understand the critical importance of balancing education with marketing impact. * You understand the nuances of different technical personas working in AI: researchers, developers, and IT. * You bring at least two years of experience as a developer advocate, software developer, AI/ML engineer, or related role, with a proven track record of creating impactful technical content across mediums. * You have experience with AI and ML, with additional proficiency in python. For example, you'd feel at home attending and presenting at LLM Paper Clubs. * You have strong analytical and problem-solving skills. * You quickly adapt to new domains and are able to communicate complex ideas and concepts effectively. * You are able to work independently and collaboratively. * You put the reader and viewer first, ensuring content is accessible and engaging. * Formal or otherwise documented education in machine learning, artificial intelligence, or AI engineering is preferred * Experience developing technical content for an AI company * Experience working in a fast-paced startup environment * Familiarity with building applications that use LLMs 🍩 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 ___.

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role: Location: Remote (Full-time) This is a full-time position responsible for designing, building, maintaining and optimizing the infrastructure required for data integration (batch and real-time), storage (including databases and data modeling), processing, and analytics (BI, visualization and Advanced Analytics) using Microsoft Azure in the Public Sector. The Solution Data Architect works closely with cross-functional teams supporting business objectives, and serves as a Azure Cloud solutions subject matter expert (SME) and collaborates with the Delivery team on solution design, and implementation. Qualifications & Experience • Bachelor’s degree in Computer Science, Information Systems, or a related field., • Minimum 5 years as a Data & Analytics Solution Architect with strong, hands-on experience in Microsoft Azure environments., • 5+ years working with Azure Cloud Platform and Azure DevOps, with exposure to other hyperscalers., • Proven experience delivering end-to-end data and analytics projects, including hands-on development as a Senior Data Engineer., • Deep and recent experience with Microsoft Fabric, Azure Databricks, Azure Functions, and PySpark for real-time, low-latency data pipeline design and implementation., • Expertise in data modeling, integration (ETL/ELT), warehousing, and BI, using services such as Data Factory, Data Lake, Stream Analytics, and Azure SQL Database., • Demonstrated ability to design and implement GraphQL and RESTful APIs within Azure ecosystems., • Preferred Certifications:, • Microsoft Certified: Azure Fundamentals, • Microsoft Certified: Azure Data Engineer Associate, • Microsoft Certified: Azure Solutions Architect Expert, • Deep experience designing and implementing end-to-end data and analytics solutions using Microsoft Azure services such as Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Stream Analytics, Azure SQL Database, and Power BI., • Proven hands-on experience building and optimizing real-time, low-latency pipelines using PySpark, Azure Functions, Event Hubs, and Stream Analytics., • Strong understanding of CI/CD, Infrastructure as Code (Terraform or ARM templates), configuration management, automated testing, and cost optimization principles., • Expertise in data modeling, data integration (ETL/ELT), warehousing, BI, and advanced analytics (ML/AI) within Azure environments, ensuring scalable and resilient designs., • Proficiency in Python and SQL, with ability to diagnose performance issues, optimize pipelines, and ensure system reliability., • Experience designing data governance, cataloging, data quality, and lineage frameworks; implementing Azure security best practices (IAM, encryption, compliance); and managing monitoring tools such as Azure Monitor, Application Insights, or Datadog., • Familiarity with Kubernetes and Docker for scalable architecture, including design and configuration of containerized services., • Strong ability to work cross-functionally with architects, engineers, and data scientists, and to clearly document architecture and deployment configurations., • Committed to staying updated with emerging Azure technologies, AI/ML integrations, and data architecture best practices to drive innovation and efficiency Equal Opportunity Employer: Fusemachines is committed to fostering a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other legally protected status. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

About Traversal ___ is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Cerebras Systems, Glean, Nuro, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As an Infrastructure Engineer on the Data Platform team at Traversal, you’ll design, build, and maintain the backend systems that power our AI-driven observability platform. You’ll work across both cloud and on-prem deployments, ensuring our systems are highly reliable, performant, and capable of supporting large-scale AI operations. This hands-on role blends distributed systems engineering, low-level system design, performance optimization, observability, and AI integration—collaborating closely with engineers across the company to deliver resilient infrastructure that enables our AI agents to diagnose and remediate production incidents in real time. Responsibilities • Architecture & Implementation: Contribute to the design and implementation of scalable, resilient infrastructure systems to power AI-driven root cause analysis and observability workflows. That must work in a variety of environments for on Premises deployments., • Observability Systems: Help build and maintain the internal observability stack—logs, metrics, and traces—used by our agents to understand and act on production issues., • Hybrid Infrastructure: Support cloud and on-prem architecture to serve both SaaS and enterprise customers., • Data Infrastructure: Develop and maintain low-latency, high-throughput pipelines using tools like Kafka, Postgres, and S3 for real-time telemetry workflows., • Tooling & Automation: Contribute to infrastructure-as-code, CI/CD tooling, and deployment systems to increase platform velocity and stability., • Cross-Team Collaboration: Work with AI, platform, and product teams to ensure smooth integration and shared reliability goals., • Using Traversal Internally: Help ensure our own observability tooling supports how we debug, monitor, and operate our systems. Requirements • Professional experience with Rust (our primary language for infrastructure), or strong systems-level programming experience in OCaml, C++, C or Zig., • Experience building distributed systems using a variety of application-appropriate datastores (e.g., Postgres, object storage, etc.)., • Strength in debugging across cloud infrastructure, networking layers, and production systems (instrumentation, provisioning, bug fixes, reliability improvements)., • Experience with performance profiling and optimization in backend systems., • Exposure to low-level system design concepts (e.g., concurrency models, storage internals, OS, and DB level tuning). Nice to Have • Experience making complex software systems observable using logs, metrics, and traces., • Familiarity with Python-based ecosystems., • Background in large-scale, complex, data-driven applications, and familiarity with event streaming platforms such as Kafka., • Experience provisioning and managing infrastructure using Terraform, Pulumi, or other IaC tools., • Familiarity with AI or LLM-powered products. Compensation We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000–$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge. Why You Should Join Us We’ll make sure you’re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team. Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance. Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.

At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. As a Software Engineer on our AI Infrastructure team, you will help design the core systems that power Fireworks AI’s generative AI platform. You will help build infrastructure and tools that ensure the reliability, performance, quality, and availability of our AI system. Our mission is to make Fireworks AI the most reliable and user friendly generative AI platform in the world. You will partner closely with our cloud infrastructure team, product team, and performance team to deliver infrastructure that bridges the gap between our customer and the ultra-performant proprietary Fireworks inference engine. • Contribute to the design and development of scalable backend infrastructure that supports distributed training, inference, and data pipelines, • Build and maintain core backend services such as LLM CI/CD pipeline, control plane, and model serving systems, • Support performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking layers, • Building frameworks and safeguards to ensure Fireworks AI has the best model quality in the industry, • Collaborate with performance, training, and product teams to translate research and product needs into infrastructure solutions, • Participate in code reviews, technical discussions, and continuous integration and deployment processes, • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience), • 3 years of experience in software engineering, with a focus on infrastructure or machine learning systems, • Strong programming skills in Python, Go, or a similar language, • Proven experience in ML infrastructure and tooling (e.g., PyTorch, MLflow, Vertex AI, SageMaker, Kubernetes, etc.)., • Basic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc), • 5+ years of experience in software engineering, with a focus on infrastructure or machine learning systems, • Experience with open source inference engine like vLLM, Sglang, or TRT-LLM, • Contributions to open-source infrastructure or ML projects, • Experience in building large scale ML/MLOps infrastructure, • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving., • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally., • Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results., • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

As a Senior Backend Software Engineer at Regard, you’ll be involved in all stages of the product development and deployment lifecycle: participate in idea generation, planning, design, prototyping, execution, deployment, and iteration of new and existing features. You’ll collaborate closely with engineering, design, and product colleagues to bring new features and products to life. Your primary objective will be to develop high-quality software solutions that meet user needs and align with the organization’s business goals. This will involve analyzing requirements, designing robust architectures, writing efficient code, and conducting thorough testing. As a Senior Backend Software Engineer, you will have the responsibility to drive projects forward, mentor junior team members, and contribute to continuous improvement initiatives. By delivering innovative and reliable software, you will contribute to the success of our organization and make a meaningful impact in the industry. 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. • Collaborate with product and design team members to best design medium to large projects balancing speed to market, user experience, business goals, and technical architecture quality, • Own medium to large backend services and drive improvements across system design, observability, testing, performance, and support., • Drive backend development practices, patterns, and processes along with the other Regard backend experts, • Mentor and review code from less experienced developers in our backend services across backend job processing, API, and other services, • Maintain and improve the quality of the codebase and tooling in your area of responsibility by proactive fixes and improvements and through identifying and proposing projects to improve the overall backend codebase, • Participate in operational activities supporting product areas you own including on-call, monitoring, and production support, • Contribute as necessary across the stack (front end, infrastructure, AWS, etc) in order to unblock projects, • BS in Computer Science or equivalent experience, • 6+ years of experience with software development in one or more programming languages (Python preferred), • Able to participate in on-call operational support for their areas of responsibility, • Able to travel up to 4 weeks a year for company co-working and/or retreat weeks, • Experience with k8s, AWS services (serverless, etc), OpenAI services, • Experience working on a mature enterprise SaaS technology product, • Exposure to startup and/or high growth environments, • Experience working with health technology, • Strong verbal and written communication skills, • 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 at least 2 days per week. 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, • We prefer hiring people within commuting distance of our NYC office because we value getting together in person regularly, • 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

Out-of-Home (OOH) is the fastest growing channel in advertising. From billboards to retail media to urban panels, 98% of us see at least one OOH advertisement every week. It’s a part of life. As the pioneer in OOH technology, we build solutions that help brands find their audience in the right place at the right time, on digital signage networks around the corner, or around the world. About us: Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight. From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestlé, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar. With the recent acquisition of ADstruc, a leader in traditional OOH planning and buying software, Vistar Media enhances its comprehensive suite for OOH media. For nearly 15 years, ADstruc has streamlined the planning, buying, and selling workflow for traditional OOH, allowing agencies to focus on strategy, creativity, and ROI. By integrating ADstruc’s capabilities, we are committed to providing an unparalleled service to the OOH community, ensuring seamless and efficient solutions that drive creativity and results for our clients. We are looking for a passionate Backend Engineer to join our Traditional OOH department. This role will focus on building out and scaling ADstruc as an independent platform, with plans for eventual integration into Vistar’s existing infrastructure. Additionally, you will help expand ADstruc’s capabilities internationally. You will work closely with our engineering, product, DevOps, and security teams to ensure robust performance and seamless user experiences. \n What you'll do • Take a technical leadership role on features and small teams., • Design, develop, and maintain backend services and infrastructure., • Develop maintainable, effective, and efficient solutions., • Maintain a high level of productivity while making significant contributions to the ADstruc/Vistar platform code base., • Participate in code reviews and provide mentorship through pair programming., • Work directly with the Product team on project planning and discovery., • Write well-designed, well-tested code., • Troubleshoot, debug, and upgrade existing systems. What experience we're looking for: • 5-10+ years of relevant work experience in software development., • Bachelor's degree in a technical field (e.g. engineering, computer science, etc.), or Bachelor's degree in any field and 7+ years of professional experience working as a Software Engineer., • Proven ability to architect scalable and maintainable backend solutions., • Strong knowledge of backend architecture, including service-oriented architecture, APIs, testing, ORMs, relational databases (PostgreSQL/PostGIS), and AWS (including AWS Lambda)., • DevOps, Containerization, and Infrastructure as Code experience., • Experience processing large amounts of data and developing large-scale solutions., • Experience in at least two of the following is preferred, but not required: PostgreSQL, AWS, PHP (Symfony framework), Python, TypeScript. What we offer: • Flexible and fun start-up environment and culture, • Comprehensive health benefits, • Unlimited vacation and summer Fridays, • A large entertainment budget for virtual team building (and frequent happy hours and team outings once it's safe for those), • Sponsored volunteer events, • Opportunities for team and project leadership, • A great bunch of people to work with and learn from \n At Vistar Media, we carefully consider a wide range of factors, including experience, skills, and other relevant business considerations. These considerations can cause compensation to vary. Please note that the salary range information that follows is a good faith estimate for this position under New York City law for New York City applicants. The salary range estimate for this position as performed in New York City is: $140,000- $145,000. The salary range for this position as performed outside of New York City may vary. The actual pay will be at Vistar Media’s sole discretion, and determined by factors including but not limited to geographic location, skills, qualifications, and experience. If you’re ambitious, highly driven, and interested in making an impact, Vistar is the place for you. Apply to join our team… we’ll see you out there. Recruiting fraud is a serious issue facing jobseekers. Please be aware that Vistar Media would never require personal information (such as bank account information) during the interview process. Should an employee from Vistar Media reach out to you, that communication will come from an @___@ email address. During a typical interview process, you will have several phone, video, and/or in-person interviews with multiple Vistar Media employees before a hiring decision is made. We do not require payment from applicants for training or other costs incurred, nor do we offer compensation before hiring.

At Squarespace, we're reimagining how people bring their ideas to life online. Our Product Engineering teams are at the heart of that mission — building the seamless, powerful experiences our customers rely on every day. As a Backend Engineer, you'll be part of a collaborative, high-impact team working to create scalable, reliable systems behind some of the most intuitive tools on the web. Whether you've been in the industry for three years or twenty, if you're passionate about designing elegant solutions— we want to hear from you. This is a hybrid role working from our NYC office 3 days per week. You will report to the Engineering Team Manager. We're hiring across several impactful product teams. Based on your experience and interests, you could join one of the following: • Website Foundations: Power the core of Squarespace's CMS — from high-performance APIs and efficient caching layers to evolving our monolithic codebase. This team owns the platform our website builder runs on — the crown jewel of Squarespace., • Checkouts + Payments: Redesign how customers subscribe to Squarespace — from choosing the right plan to checking out with their preferred payment method. This team focuses on creating flexible, transparent purchasing experiences., • Corporate Applications: Act as internal consultants, creating custom solutions for departments like Marketing, Legal, and Security. From modern web apps to high-volume event pipelines, this team builds the tools that help Squarespace grow from the inside., • Build scalable backend services in Java and related technologies., • Write clean, efficient code that powers high-traffic, production-ready systems., • Contribute to design decisions and architectural discussions., • Collaborate with engineers, designers, and product managers., • Create features from concept through implementation to launch., • 7+ years of professional experience in backend development using Java, Python, C, or similar languages, • Experience building large-scale, distributed systems, • Strong computer science fundamentals: data structures, algorithms, and system design, • Comfortable working in collaborative environments where feedback is valued, • A degree in Computer Science — or equivalent industry experience that speaks for itself, • You'll work with passionate, thoughtful engineers solving real-world problems., • You'll shape products used by millions of people around the globe., • You'll be supported in growing your skills and your career., • You'll find a workplace that values inclusivity, creativity, and curiosity., • A choice between medical plans with an option for 100% covered premiums, • Fertility and adoption benefits, • Access to supplemental insurance plans for additional coverage, • Headspace mindfulness app subscription, • Global Employee Assistance Program, • Retirement benefits with employer match, • Flexible paid time off, • 20 weeks for parental leave and up to 12 weeks to care for an ill family member, • Pretax commuter benefit, • Education reimbursement, • Employee donation match to community organizations, • 8 Global Employee Resource Groups (ERGs), • Dog-friendly workplace, • Free lunch and snacks, • Private rooftop, • Hack week twice per year The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors. In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include on-target commissions or overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,500 is headquartered in bustling New York City, with offices in Dublin, Ireland, Aveiro, Portugal, and coworking spaces in the UK, Netherlands, and Australia. For more information about our company culture, visit ___. Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. #LI-Hybrid Thank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process. Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding ___, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. As a Backend Engineer, you will work on building the APIs that power our products and give our learners a best-in-class experience. Our microservices infrastructure is composed of hundreds of endpoints serving hundreds of millions of requests per day. You will partner with your team members on identifying requirements and designing services that are fast, resilient, and cost-effective. You will have ownership over the entire lifecycle of your services and associated infrastructure, and ensure they are always operating well. Below you can find more information about the teams we're hiring for: Data Infrastructure Team: • As a Backend Engineer on the Data Infrastructure team, you will build tooling and infrastructure at scale to support Duolingo’s key data workflows from data visualization to A/B testing and AI. Enterprise Applications Team: • The enterprise application tooling team's mission is to provide tooling and engineering support for areas without traditional engineering support and for tools the entire organization leverages! We are responsible for the 2025 OKR “Pivot to tooling- and automation-first approach for People teamwork”. In this role, you will be utilizing generative ai, automation tools, and building DIY solutions to help improve the lives of employees across the organization! You will... • Collaborate on software projects with product design and backend aspects, • Develop, release, and maintain backend services and/or infrastructure, • Lead individual project priorities, milestones, and ensure we're always shipping You have... • A Bachelor’s degree in Computer Science or related technical field, • Strong competencies in data structures, algorithms, and software design, • Experience programming in Java, Python, or Kotlin, • Solid understanding of one or more database technologies Exceptional candidates will have... • Industry experience building high-traffic APIs using public cloud providers Take a peek at how we care for our employees' holistic well-being with our benefits ___. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Duolingo is proud to be an Equal Employment Opportunity 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. By applying for this position your data will be processed as per the ___. We post a multi-level salary range for all of our roles. This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity. Salary Range: $148,800—$274,600 USD Take a peek at how we care for our employees' holistic well-being with our benefits___. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact ___. Duolingo is proud to be an Equal Employment Opportunity 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. By applying for this position your data will be processed as per the___.

Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for therapy. Our mission is to make mental healthcare more accessible and help people change their lives in the ways they want. We’re building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we’d love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Senior Mobile Engineer, you will play a critical role in building the user experience for our AI Therapy application, Ash. You will work closely with our ML team to implement new features, ranging from UX improvements to completely new AI-driven features. As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about keeping building meaningful experiences for our end users. Our tech stack uses Dart/Flutter for our apps, Kotlin for core backend services, Python for our ML work, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You’re not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require. About you: * Solid experience building and shipping mobile-first consumer apps using multi-platform frameworks. We use Flutter but we welcome backgrounds like React Native, Ionic, KMP, or both Swift and Kotlin. * Full-stack experience, developing backend endpoints for frontend features, interacting with databases, defining clear contracts, and maintaining a scalable and performant product. Some backend experience is critical. * User-centric and product-minded with a relentless focus on delivering exceptional user experiences and strong attention to detail in UX/UI. * Experience working in a fast paced environment, working at lightning speed to ship fast. * Self starter and a keen learner with an ability pick up new tools, languages, and concepts on the job. We don’t need you to be an Machine Learning Engineer, but having an interest in AI helps! Key responsibilities: * Collaborate closely with our Product Manager and Designer to quickly design, build, and launch new features in our app, taking ownership of the whole stack. * Elevate user experience by continually refining app reliability, performance, and polish. * Rapidly investigate, diagnose, and resolve bugs to ensure product stability. * Taking initiative to independently prototype new features based on customer feedback and your own product intuitions. * While the mobile app will be your primary focus, we encourage everyone to be comfortable working in all parts of our stack, which includes the backend (Kotlin), internal tooling (Next.js/TypeScript), and ML scripts for evaluation, data processing, and model training (Python) What we offer: * A chance to join a passionate tight-knit team working on something to change the world * Competitive compensation (we target 90th percentile) * Travel between our NYC / London offices * Usual startup perks like free lunch in our offices + generous learning budget * Generous budget to cover your personal therapy

Particle Health is revolutionizing healthcare data analytics and interoperability. Our mission is to unlock the power of medical records in an intelligent platform that focuses health back on the patient. Through our modern data platform, we enable healthcare innovators—ranging from value-based care providers and payers to digital health companies and health systems—to access standardized, real-time patient data. By bridging fragmented data silos, Particle empowers organizations to tackle critical use cases such as care coordination, risk stratification, patient identity management, and regulatory compliance with ease and precision. Our solutions of Snapshot, Signal, Navigator, and Workbench address the complex challenges of healthcare data analytics and interoperability, helping our customers transform data into actionable insights, improve patient outcomes, and streamline workflows. We are seeking a highly skilled and experienced Senior Infrastructure / Site Reliability Engineer to join our engineering team at Particle. In this role, you will be responsible for ensuring the reliability, security, and scalability of our data platform. This role pairs with other engineering teams and will have a unique opportunity to work on complex problems while covering a broad range of responsibilities, including security, DevOps, production monitoring, Cloud FinOps, and infrastructure as code. This role requires a self-starter with a strong sense of ownership and a passion for building resilient systems. • Infrastructure Management: Design, implement, and manage scalable and resilient infrastructure in Google Cloud using Infrastructure as Code (IaC) principles., • Security and Infosec: Ensure compliance with healthcare security standards and best practices. Implement security controls, manage identity and access, and conduct regular security audits., • DevOps: Streamline CI/CD pipelines, automate deployment processes, and integrate best practices for continuous integration and delivery., • Monitoring and Alerting: Develop and maintain monitoring systems to ensure high availability and performance. Implement alerting mechanisms to promptly respond to incidents., • Production Support: Respond to production incidents, conduct root cause analysis, and implement corrective actions to prevent future occurrences. Note - most of our service is used asynchronously, and outages are not typical., • Collaboration: Work closely with cross-functional teams, including engineering, product, and operations, to ensure seamless integration of SRE practices into the development process., • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience., • 5+ years of experience in Site Reliability Engineering, DevOps, or a related role., • Strong knowledge of building and maintaining production software in a cloud environment (e.g. GCP, AWS, Azure)., • Deep understanding of best practices of Site Reliability, including API, Application and infrastructure and reliability, • Proficiency in a modern programming language such as Golang, Python, Java., • Experience with Kubernetes and container orchestration., • Deep understanding of infrastructure as code (e.g., Terraform, Ansible)., • Strong knowledge of privacy and security best practices and infosec principles., • Excellent problem-solving and troubleshooting skills., • Ability to work independently and take ownership of complex projects., • Strong communication skills and ability to collaborate with cross-functional teams., • Strong cross-functional collaboration and communication skills, • Purposeful Work: Contribute to projects that directly improve healthcare access, empower providers, and enhance patient outcomes., • Collaborative Culture: Thrive in a mission-driven, curiosity-fueled environment where ownership and bold ideas are celebrated., • Flexibility & Balance: Enjoy unlimited PTO and a hybrid work environment, giving you the opportunity to collaborate in person and enjoy the benefits of remote work. We also provide lunch on Tuesdays and Thursdays when our team is in the office!, • Bonus Program: Get rewarded for great work—our twice-a-year bonus program reflects both your contributions and our overall success., • Comprehensive Benefits:, • ~95% employer-paid health benefits for you and your family., • Employer-funded 401(k) match to help you build a secure future., • Mental health benefits to support your well-being., • Invest in Your Future: Receive employee equity, ensuring you share in the company’s success., • Family Support: Access 14 weeks of fully paid parental leave, so you can focus on what matters most., • Collaborate with a talented team of engineers, data scientists, and healthcare experts, • Opportunity to work with cutting-edge technologies in the healthcare space, • Growth opportunities as we scale our platform and expand our capabilities At Particle Health, your contributions don’t just impact the company—they shape the future of healthcare. Join us, and let’s make a difference together! Compensation Range: For this role, we’re targeting a salary range of $190,000–$225,000 annually, depending on experience and qualifications. If your background aligns more closely with a higher or lower level than the scope outlined here, compensation may vary accordingly. #LI-Hybrid At Particle Health, we believe diversity is a strength that drives and fuels our mission to transform healthcare. We are proud to be an equal opportunity employer and are committed to creating an inclusive, supportive environment where everyone can thrive. We welcome and celebrate individuals of all backgrounds, perspectives, and experiences, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Our commitment to diversity reflects our core values—integrity, curiosity, boldness, ownership, and persistence—and our belief that our differences make us stronger as a team and a company. For more info about Particle and our team, check out the resources & links included. For more info about Particle and our team, check out the resources & links included. Notice: Recruitment Scam Alert We’ve been made aware of attempts by scammers impersonating Particle Health or our team members to post fake job listings, conduct fraudulent interviews, or issue fake offer letters. These scams may involve: • Requests for personal or financial information, • Interviews conducted only via text or messaging apps, • Emails that don’t come from an @___ address, • Offers for jobs you didn’t apply for Please note: • We will never ask for money, gift cards, or personal financial details at any stage of our hiring process, • All legitimate communication will come from an official @___ email address, • Our hiring process always includes video interviews — never just text If you’re unsure about the legitimacy of a communication, don’t hesitate to contact us at ___. We’re here to help.

Constrafor is a SaaS and fintech platform purpose-built for construction. We are setting new standards of productivity and cost-efficiency for the way General Contractors and Subcontractors manage procurement & financial transactions. With over $30 million of VC financing, we are forging the path for construction innovation. Join us on our mission to advance the largest industry in the world. We’re looking for an experienced and innovative Senior AI/LLM/ML Engineer to join our team and drive the development of next-generation AI-driven solutions. Backed by top-tier investors and having grown 7x and then 3x over the past two years, Constrafor is scaling rapidly – this is your opportunity to help shape the future of a company on a rocket ship trajectory. As a senior member of our engineering organization, you’ll spearhead critical initiatives in artificial intelligence and machine learning. From building advanced data pipelines and agentic AI systems to deploying large language models in production, your work will be central to delivering smart, sustainable, and data-driven solutions for our users. 📝 What You'll Do: • Design and implement advanced AI/LLM-driven data pipelines to power our platform’s intelligent features and services., • Build, maintain, and scale agentic retrieval-augmented generation (RAG) systems that deliver context-aware insights and automation for our users., • Integrate state-of-the-art large language models into Constrafor’s product workflows, enabling new capabilities in areas like document understanding, risk analysis, and process automation., • Collaborate closely with data engineers and backend teams to ensure robust, scalable pipelines for model training, evaluation, and real-time inference., • Optimize and tune model performance (e.g. prompt engineering, fine-tuning) to ensure high accuracy and efficient response times in production environments., • Work with cross-functional teams (Product, Engineering, Data) to identify AI opportunities and implement solutions that enhance user experience and operational efficiency., • Develop and enforce best practices for AI/ML development, including code quality, model governance, and MLOps deployment standards for reliable production systems., • Stay at the forefront of AI research and LLM advancements, prototyping innovative approaches and integrating relevant technologies into our platform., • Ensure the reliability, security, and scalability of AI solutions through rigorous testing, monitoring, and iterative improvement., • Identify automation opportunities across the organization., • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning in AI/ML across the team. 📈 What You Bring: • 7+ years of professional experience in software engineering, data science, or machine learning roles., • Proven ability to design, deploy, and manage machine learning solutions in production; experience thriving in both large tech companies and fast-paced startup environments., • Extensive hands-on experience in natural language processing and large language models – you have built NLP/LLM-driven applications and integrated frameworks like LangChain with APIs from providers such as OpenAI, Anthropic, or Google Gemini., • Proficiency in Python and ML frameworks (e.g. TensorFlow or PyTorch); strong experience with cloud platforms (AWS and/or GCP) for developing and deploying AI solutions at scale., • Solid knowledge of data pipelines and retrieval-augmented generation (RAG) architectures, including working with vector databases or search technologies to augment LLM capabilities with external data., • Excellent problem-solving and communication skills, with a track record of technical leadership and mentorship in previous roles., • BS/MS in Computer Science, Engineering, or a related field (or equivalent practical experience). An advanced degree or research experience in AI/ML is a plus., • Experience with fintech, SaaS, or construction technology industries is a plus but not required. 💼 What We Offer: • Salary Range: $175,000-190,000 base DOE., • Significant equity ownership within Constrafor., • Medical, dental & vision insurance coverage offered for you and your dependents., • Generous PTO Plan., • Lunch provided for in office days., • A collaborative and innovative work culture that values your input., • Opportunity to make a significant impact in a growing tech company., • Hybrid schedule out of our beautiful Hudson Yards office. Constrafor is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

Site Reliability Engineer, Commodities Technology A Career with point72’s technology team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you’ll do As a Site Reliability Engineer, you will be responsible for operations and support of Commodities Technology applications runtime environment. Specifically, you will: • Ensure high availability and uptime of Commodities Technology services and applications, • Automate and streamline manual processes, • Contribute to root cause analysis and post-mortem reports for production incidents, • Liaise with the business-facing application support, development, and infrastructure teams to establish proper tracking of requirements and priorities, • Monitor mission-critical systems to ensure service level objectives are met What’s REQUIRED • Proven work experience as a site reliability engineer or similar role., • Experience with Windows and Linux based operating systems, Cloud-based services and infrastructure (AWS), Infrastructure as Code (Terraform), and/or Configuration Management (Ansible), • Experience with container technologies such asDocker, Kubernetes, AWS, EKS, and ECS, • Experience with observability tools such as DataDog, • Proficient in coding and scripting with Python, PowerShell with an ability to comprehend C#, • Self-motivated individual with great communication and interpersonal skills, • Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: • Fully-paid health care benefits, • Generous parental and family leave policies, • Volunteer opportunities, • Support for employee-led affinity groups representing women, people of color and the LGBT+ community, • Mental and physical wellness programs, • Tuition assistance, • A 401(k) savings program with an employer match and more About point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit ___. The annual base salary range for this role is $175,000-$245,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. The Horizons team leads Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude 3.5 and 3.7 Sonnet. Our work spans several key areas: • Developing systems that enable models to use computers effectively, • Advancing code generation through reinforcement learning, • Pioneering fundamental RL research for large language models, • Building scalable RL infrastructure and training methodologies, • Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and work hand-in-hand with dedicated RL engineering teams to implement our research at scale. The Horizons team sits at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. As a Data & Evaluation Engineer on the Horizons team, you will build the software infrastructure that enables our AI models to use tools effectively and measure their performance. You'll develop and extend our agent framework, create and implement evaluations, manage training data pipelines, and apply data science techniques to improve model capabilities. This engineering-focused role combines software development with empirical analysis to drive advances in model performance and capabilities. • Extend and improve our agent framework that enables models to interact with tools and environments, • Design and implement evaluation systems that rigorously measure model capabilities across tasks, • Build and maintain data pipelines for collecting, processing, and managing RL training data, • Develop dashboards and analysis tools to extract insights from model performance data, • Collaborate with researchers to translate evaluation needs into scalable, production-grade systems, • Are proficient in Python and data analysis libraries (Pandas, NumPy, etc.), • Have experience creating data visualizations and interactive dashboards, • Enjoy translating complex research questions into concrete measurement approaches, • Possess strong software engineering fundamentals with an emphasis on clean APIs, • Can communicate technical concepts clearly to both engineers and researchers, • Have experience with web development for interactive tools (JavaScript, React, etc.), • Are passionate about measuring and improving AI capabilities and safety, • Experience with LLM specific evaluations and frameworks, • Experience with data visualization libraries and frameworks (D3.js, Plotly, Grafana), • Familiarity with the Jupyter ecosystem and notebook-based workflows, • Knowledge of statistical methods and experimental design, • Experience with web frameworks for building interactive applications (FastAPI, Flask), • Experience working with large datasets and understand performance considerations, • Comfort engaging with ML research papers and implementing metrics from academic literature, • Formal certifications or education credentials, • Prior experience with reinforcement learning research Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary:$300,000—$425,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Diverse Database Experience: Proficiency with various database systems including relational databases like PostgreSQL and NoSQL databases like MongoDB. Data Tooling: Strong command of core data manipulation and analysis libraries (e. Database Proficiency: Advanced SQL skills and extensive experi

Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector - Enterprise Technology team you play a crucial role in an agile team dedicated to en

Senior Software Engineer (Go Java). As a Capital One Software Engineer youll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like JavaScript Java HTML/CSS TypeScript SQL Python and Go Open Source RDBMS and NoSQL database