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What We Do at Anno.ai Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. We specialize in building and operating advanced test ranges for low Technology Readiness Level (TRL) single- or dual- use autonomous platforms, providing a critical bridge between early-stage innovation and real-world mission requirements. Our ranges are designed to replicate complex, contested, and dynamic environments—giving innovators, researchers, and defense partners the ability to validate, stress-test, and mature their systems with speed and rigor. By combining deep technical expertise with a strong national security ethos, Anno.ai ensures that emerging autonomous technologies are tested not only for performance, but for resilience, adaptability, and operational relevance. Anno.ai is a growing company with a team drawn from diverse professional backgrounds, bringing together expertise in defense, technology, engineering, and operations. We intentionally build our teams on the foundation of trust. Our values including the trust rule, ownership, bias for action, never stop learning, and sustainable excellence, not only guide how we work internally, but also how we partner with customers and stakeholders. At Anno.ai, we believe that mission success depends on empowering innovation at the edge. We exist to help our partners move faster, fail smarter, and ultimately deliver autonomous capabilities that safeguard both national security and the future of global stability. Position Overview As a Senior Full-Stack Engineer at Anno.ai, you will design, build, deploy, and maintain production systems used for high-throughput data collection, fusion, and analytics across both cloud platforms and deployed edge environments. You will collaborate closely with infrastructure, data, product, platform, and field engineering teams, serving as a key technical contributor driving system performance, reliability, and usability. This role is part of a fast-moving technology development group. We seek individuals who thrive in ambiguity, take ownership, and deliver solutions with minimal oversight—while also contributing to engineering rigor and cross-team architecture. The ideal candidate for this role would reside in Minnesota. Candidates need to be able to obtain and maintain U.S. Governement security clearance (U.S. citizenship required). The company would pay for clearance costs. They also need to be able to travel up to 20% of the time. What You’ll Do • Build full-stack systems that enable data ingestion, fusion, analysis, and visualization across cloud and edge environments, • Develop distributed services that handle real-time and recorded sensor and media data at scale, • Shape system architectures to support mission-critical performance, reliability, and operational resilience, • Design data models and storage strategies that ensure integrity, performance, and efficient retrieval, • Integrate internal services and external partner systems to support end-to-end workflows, • Create intuitive operator-focused user interfaces and mission-support tooling, • Implement testing, monitoring, deployment, and observability practices to ensure stable and supportable systems, • Deploy and validate software on edge computing devices under lab environments and during field exercises, • Collaborate closely with other engineers, data teams, and field personnel to deliver production-ready autonomous system capabilities Required Qualifications • Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering), • 5+ years of software development experience across UI, backend services, and data/storage layers, • 3+ years of Python development experience, • 3+ years of Typescript and React experience for frontend application development, • PostgreSQL or similar relational databases (schema design and optimization), • Designing and integrating secure APIs and web services, • Deploying and operating applications in AWS, familiar with ECS, EC2, Lambda, and S3, • Containerization and orchestration using Docker and Kubernetes, • Working effectively in both Linux and Windows environments, • Troubleshooting distributed systems and network-level interactions (e.g., TCP/IP, routing, VLANs, bandwidth constraints), • CI/CD pipelines and automated deployment workflows, • Communicating complex technical concepts to technical and non-technical stakeholders, • Operating with high ownership and autonomy across multiple concurrent projects, • Using modern collaborative development workflows (e.g., Git-based), • Ability to obtain and maintain U.S. Government security clearance (U.S. Citizenship required), • Ability to travel up to 20% Preferred Qualifications • Experience designing and deploying systems that handle real-time or high-volume sensor, media, or telemetry data, • Strong architectural design skills involving distributed systems, data synchronization, and networked compute environments, • Familiarity with edge computing, constrained compute deployments, or field-operated systems, • Experience with network video systems, streaming pipelines, or sensor fusion environments, • Ability to perform root-cause analysis and develop corrective design strategies, • Demonstrated ability to collaborate across multidisciplinary teams (software, hardware, field/ops) and drive outcomes to completion, • Familiarity with SBOM supply chain integrity, • Prior experience supporting U.S. Department of War programs, cUAS systems, or mission-critical autonomous platforms, • Proven ability to communicate clearly under operational constraints and evolving mission requirements Total Rewards Package for Our US Employees • Competitive salary, • Equity, • Comprehensive benefits package, • 401k with a 5% company match, • Paid holidays and generous paid time off offering, • Paid leave programs, • Patent bonus program, • Employee referral bonus program, • Learning and development program, • Opportunity to work with a team of highly skilled, creative and motivated team members Quick Note on Role Fit If you think you have what it takes to fulfill this opportunity, but don't necessarily check every box, please still connect with us at ___. Feel free to send a cover letter so we can get to know you better!

OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: * Ready to run * Hungry and driven by urgency * Exceptional at what they do, with low ego * Comfortable operating in motion As an Agentic Platform Engineer at OnePay, you will build the core platform services and developer frameworks that power large-scale, distributed systems and enable the next generation of intelligent, agent-driven applications. * Design and operate platform-oriented core services that support high-scale distributed systems across OnePay’s product ecosystem * Architect, build, and manage Kafka-based event streaming systems that power real-time data flows and mission-critical financial workflows * Develop internal developer tooling and shared infrastructure that improve velocity, reliability, and observability across engineering teams * Build and evolve frameworks that support the construction and orchestration of agentic applications, enabling intelligent, automated workflows across products * Partner closely with engineering, data, and AI teams to solve complex distributed computing challenges in a secure, cloud-native AWS environment * 7+ years of experience in software engineering within fintech, cloud infrastructure, or large-scale distributed systems environments * Strong hands-on experience designing, operating, and scaling Kafka-based event-driven architectures * Deep expertise in distributed systems, asynchronous processing, and high-availability platform services * Production experience in AWS cloud environments and building cloud-native infrastructure * Experience building developer platforms, internal tooling, or frameworks that enable other engineers to move faster * Drive and proactivity - everyone here is a builder and executor We use Node and TypeScript on the server, leveraging the NestJS framework within a microservice-oriented architecture running on Kubernetes and AWS. On the client side, we build and ship product features for iOS, Android, and web platforms using React Native. While you don’t need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. * Competitive base salary, stock options, and health benefits from Day 1 * 401(k) plan with company match * Remote-friendly (US), flexible time off (FTO), and opportunities for growth * A high-growth, mission-driven, inclusive culture where your work has real impact * Initial Interview with Talent Partner * Technical or Hiring Manager Interview * Team Interview * Executive Interview * Offer! To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at .

Position Overview: MicroHealth is seeking a Technical PM to provide critical PMO and Technical Program Management support for the Veterans Affairs Benefits Integration Platform (BIP) within the Benefits Integration & Administration Product Line. The Technical Program Manager will work directly with the BIP Product Manager to oversee cloud-based, containerized application projects while applying Scaled Agile Framework (SAFe) methodologies and ensuring seamless integration across VA systems. Key Responsibilities: • Perform Technical PM duties for the Benefits Integrated Platform (BIP) as directed by the Product Manager, • Manage cloud-based projects with containerized applications, • Apply Scaled Agile Framework (SAFe) methodologies, • Oversee architecture and design activities, • Manage and support security requirements development and implementation, • Coordinate release management activities, • Lead requirements planning and management, • Provide strategic planning and analysis support, • Support federal budgeting, financial planning, and acquisition activities, • Execute risk management planning, tracking, and analysis, • Provide change management support, as well as Perform configuration management support, • Research and report product information into VA Product Line & Accountability Reporting System (PARS), VASI, and other VA systems, • Perform Jira management and updates, • Provide comprehensive documentation and data support, manage communications, data calls, and action items, • Coordinate with the VA Product Manager on a regular cadence to address needs and reprioritize work, • Support meeting coordination and facilitation, and assist with onboarding and offboarding activitiesRequired Qualifications:, • Bachelor’s degree in information technology or related discipline, • Seven (7) years of hands-on experience with technical program/project management experience, • Strong communication and stakeholder management skills. Ability to coordinate across multiple teams and functions, • Strong understanding of Scaled Agile Framework (SAFe) methodologies, SAFe certification strongly desired., • Deep knowledge of cloud computing and containerized applications, • Proven experience managing cloud-based projects, along with experience with architecture and design principles, • Knowledge of security requirements and compliance standards, • Demonstrated project management experience, • Proficiency with Jira and other project management tools, • Experience with release management processes, • Strong risk management capabilities, and Configuration management expertise, • Elevated writing skills with ability to produce clear, comprehensive documentation, • Experience with VA systems including PARS and VASI preferredPreferred Qualifications:, • SAFe certificationSalary: $140,000-$150,000

Job Description The Presales Manager: Digital Workplace (DWP) PreSales Manager will be primarily responsible for creating winning Propositions and solutions for all Work Place Solutioning opportunities in North America Geography The DWP Presales Manager will have responsibility to provide technical solution. He/she will also be responsible for front ending all Solution Discussions with Customers, Onsite Sales team along with Sales Leaders, BDM’s, Account Managers, Solutioning experts and EUC Architects. He/she will report into the Geography Presales leaders and will take directions from him/her Job Location: Chennai / Bangalore / Noida Requirements • 10+ years of IT experience, mostly in the areas of Infrastructure services and management, • The core focus of the role is to define requirements and deliver propositions/solutions to meet the needs of a variety of clients. There will be a particular focus on major end user computing infrastructure engagements., • Lead Presales activities for EUC services engagements and scope complex or critical IT programmes as well as high level business cases. Participate to develop and manage architecture governance structure on the basis of business, and IT strategies, as relevant for End User Services., • Working closely with sales team to support sales bid processes and generate leads and opportunities ., • Selecting and/or reviewing approaches and standards to suit client challenges and opportunities, • Extensive experience acting at a senior level with responsibility of delivering business critical solutions into enterprise scale organisations., • Experience of end-user computing solutions across a variety of business and IT functions – including knowledge of solution areas and vendors such as Microsoft, Citrix, VMWare, VDI, MSOffice, desktop migration., • Proven value delivery through complex, large scale solutions from business case to project review, • Should have in-depth understanding of technology stack and the next generation technology innovations in Market place., • Should possess excellent commercial acumen and experience of integrating and aligning business requirements, functional requirements and technical solutions, • Should have a thorough understanding of Public Cloud Architecture and its integration with On-premise solutions, • Knowledge of Active Directory, Messaging, Application Services., • Strong domain knowledge of End User Computing & Service Desk - Rich experience in Solution design for End User Projects and Managed Services deals., • In depth knowledge of key technologies like VDI, SCCM, MS Platforms related to end user, Citrix/VMware, • Have Strong Desktop Virtualization concepts (Planning, Consulting, Architecting, Implementing). Aware of various Desktop Virtualization models such HSD, Terminal Services, Client Side Virtualization. Good Knowledge of Application Virtualization platforms including XenApp, App-V and ThinApp. Knowledge in Active Directory, Group Policy and System policy, • Flair for pre-sales, customer interaction and fluency in communication is crucial. Exhibits excellent interpersonal skills. Should have excellent Communication Skills and should be able to successfully interface with Customer for Technical discussions. Rich Experience of handling CXO level discussions and positioning solutions, Excellent Presentation Skills Should have a thorough understanding of creating complex EUC Solutions and should have been responsible for creating Solutions as requested by the Customer in the RFP/RFI process.

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

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

Job DescriptionAI Cloud Solutions Director Company Overview: Forhyre is a leading technology solutions provider that specializes in developing and implementing AI-driven cloud solutions for businesses across various industries. We are committed to delivering innovative and scalable AI solutions that help our clients optimize their operations and achieve their business goals. Position Overview: We are seeking an experienced and dynamic AI Cloud Solutions Director to join our team. The AI Cloud Solutions Director will be responsible for leading our AI cloud solutions division and driving the development and implementation of cutting-edge AI solutions for our clients. The successful candidate will have a strong technical background in AI and cloud computing, as well as a proven track record of successfully delivering complex AI projects. Responsibilities: • Lead the AI cloud solutions division and oversee all aspects of the division’s operations., • Collaborate with cross-functional teams to develop and execute the strategic vision for AI cloud solutions., • Drive the development and implementation of innovative AI cloud solutions that address client needs and deliver measurable business value., • Provide technical leadership and guidance to the AI cloud solutions team, ensuring that projects are delivered on time and within budget., • Stay up-to-date with the latest advancements in AI and cloud computing technologies, and assess their potential impact on our clients’ businesses., • Build and foster strong relationships with key stakeholders, including clients, partners, and internal teams., • Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred., • Minimum of 8 years of experience in the development and implementation of AI solutions, with at least 3 years in a leadership role., • Deep understanding of AI technologies, such as machine learning, natural language processing, and computer vision., • Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud., • Proven track record of successfully delivering complex AI projects on time and within budget., • Excellent leadership and communication skills, with the ability to effectively collaborate with cross-functional teams., • Strong problem-solving and decision-making abilities., • Competitive salary package, • Comprehensive health insurance, • Flexible work schedule, • Professional development opportunities

Job DescriptionCloud Engineer (AWS)Employment Type: Full-Time, Experienced Department: Information technology We are seeking a Cloud Engineer (AWS) who will be responsible for supporting the development of all required documentation necessary to support the engineering, security, and operational processes for a large federal agency. The ideal candidate will possess a strong grasp of cloud computing SaaS, PaaS, and IaaS fundamentals. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Design solutions that ensure maximum flexibility and scalability, while meeting all required security controls.- Support the development of all required documentation necessary to support the engineering, security, and operational processes. - Perform business and technical alternative analysis for any/all aspects of the solution, aiding the customer is making decisions along the way. - Facilitate the transition of the solution to operations, initially and ongoing ensuring at all times the system is operating within the anticipated operating boundaries. - Strong grasp of cloud computing SaaS, PaaS and IaaS fundamentals with experience designing and implementing solutions. Qualifications:- Bachelor's Degree in Computer Science, Engineering, or other Engineering or Technical discipline or equivalent relevant experience - At least four (4-7) years of professional IT experience performing duties in support of federal government agencies. - 4+ years design, implementation and/or support of highly distributed applications demonstrating strong architectural skills to ensure availability, reliability, etc. - Hands-on experience with AWS (Required) or other cloud services reinforced with architectural design experience - Experience designing and delivering large-scale solutions, most of which that have advanced to the production state. - Strong grasp of cloud computing SaaS, PaaS and IaaS fundamentals with experience designing and implementing solutions. Develop cloud base solution designs and implementation plans based on customer needs - Familiar with lift-and-shift migrations and migration methodologies for cloud migration- Experience in Cloud computing, Networking, Storage, and Identity Management AWS Certification or Cloud Architect Certification (or desire to obtain certification) Ideally, you will also have:- Hands-on experience with AWS (required) or other cloud services reinforced with architectural design experience designing and delivering large-scale solutions, most of which that have advanced to the production state. - Develop cloud base solution designs and implementation plans based on customer needs - Familiar with lift-and-shift migrations and migration methodologies for cloud migration - Experience in Cloud Compute, Networking, Storage, and Identity Management AWS Certification or Cloud Architect Certification (or desire to obtain certification) Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems.For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing 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. McLean, VA: $229,900 - $262,400 for Sr. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing 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. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. 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 Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 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 * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 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 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionPosition Summary A professional services organization is seeking an Applications Integration Engineer to support the design, integration, deployment, and optimization of enterprise applications and end-user computing technologies across a hybrid environment. This role is responsible for configuring, supporting, troubleshooting, and enhancing critical business applications while ensuring optimal system performance, security, and user experience. The Applications Integration Engineer will work closely with infrastructure, endpoint engineering, security, and support teams to deliver scalable and reliable application solutions across physical and virtual desktop environments. This position combines technical problem-solving, systems integration, automation, and operational support within a fast-paced enterprise environment. Work Model & Employment Requirements • Hybrid work environment, • Full-time opportunity, • Candidates must be authorized to work in the United States without sponsorship, • Long-term, permanent employment focus preferredKey Responsibilities, • Analyze, design, implement, and support enterprise application solutions across the organization, • Deploy and maintain enterprise applications within physical and virtual desktop environments, • Configure and support user profile and personalization technologies, including FSLogix, • Support, troubleshoot, and optimize business-critical applications and integrations, • Configure, customize, and maintain enterprise software platforms and productivity tools, • Integrate and support end-user applications within secure hybrid and zero-trust environments, • Identify, research, troubleshoot, and resolve application and system-related issues, • Collaborate with third-party vendors and internal teams to resolve technical challenges, • Configure and support Windows 11 operating system settings, enterprise policies, and endpoint configurations, • Manage and optimize system performance, security settings, and user experience across enterprise environments, • Monitor application and infrastructure performance, identify bottlenecks, and implement improvements, • Contribute to the strategic roadmap for End User Computing (EUC) technologies and enterprise application services, • Develop and maintain detailed technical documentation, configuration standards, and support procedures, • Assist with automation initiatives and process optimization effortsRequired Qualifications, • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field preferred, • Minimum of 3–4 years of experience in application integration, systems engineering, or enterprise application support, • Experience supporting enterprise business applications in complex corporate environments, • Strong understanding of endpoint management, operating systems, and enterprise application integration, • Experience supporting physical and virtual desktop infrastructures, • Strong analytical, troubleshooting, and problem-solving abilities, • Excellent communication, organizational, and documentation skills, • Document management systems, • PDF and document productivity applications, • Time and billing applications, • Microsoft 365 / Office 365 ecosystem, • Windows 11 configuration and customization, • Registry management, • Group Policy administration, • Intune policy configuration and endpoint management, • Windows Server environments, • Active Directory, • DNS and DHCP, • Group Policy management, • Microsoft Teams, • Zoom, • Cisco collaboration technologies, • Microsoft Hyper-V, • VMware ESXi, • Azure Virtual Desktop (AVD), • PowerShell scripting and automation, • SQL scripting and query development, • Windows Performance Analyzer, • Perfmon, • Wireshark, • FSLogix, • User profile management technologies, • Application personalization and user environment optimization toolsKnowledge, • Enterprise application integration and support methodologies, • End User Computing (EUC) environments and best practices, • Hybrid and zero-trust security principles, • Virtual desktop infrastructure (VDI) technologies, • Enterprise endpoint management and policy administration, • System performance optimization and troubleshooting, • Documentation standards and operational procedures, • Microsoft enterprise technologies and cloud-based collaboration toolsSkills & Abilities, • Strong troubleshooting and root-cause analysis skills, • Ability to manage multiple priorities and technical initiatives simultaneously, • Strong communication and collaboration skills across technical and non-technical teams, • Ability to document technical processes clearly and accurately, • Strong attention to detail and commitment to operational excellence, • Ability to work independently while contributing to team-based initiatives, • Adaptability within evolving enterprise technology environmentsCompensation & Work Environment, • Competitive compensation package based on experience, • Hybrid work arrangement, • Collaborative enterprise technology environment, • Opportunity to contribute to strategic modernization and endpoint engineering initiatives, • Exposure to advanced enterprise infrastructure and application technologies

Job Description Overview CTG is seeking an Infrastructure Security Engineer / Systems Engineer to work onsite in NYC. Must have proper work authorization, and this position does not allow for C2C or 1099. Location: Onsite in NYC 5 days per week (Must have a valid drivers license) Duration: Long term contract that could be a contract to hire Key Responsibilities: Operating Systems & Servers: • Proficiency with Windows Server/Desktop operating systems, including user administration, file systems, software, and services., • Experience managing Linux operating systems, Workstations, and Application Servers., • Understanding of servers and various storage RAID configurations., • Experience with Nutanix clusters, including design and implementation of Nutanix environments., • Management of Active Directory, including backup and recovery of domains and Group Policy Object (GPO) setups., • Strong understanding of fundamental networking concepts and troubleshooting (DHCP, DNS, routing, firewalls)., • Experience with network security tools such as NIDS/NIPS, proxies, secure web gateways, and firewalls., • Fundamental understanding of security principles, ACLs, encryption, and intrusion detection/prevention systems., • Proficiency in scripting languages such as PowerShell, Bash, Ksh, Perl, or Python for automating routine tasks., • Ability to actively monitor the entire infrastructure and troubleshoot servers., • Bachelor's degree in Computer Science, Information Technology, Information Security, or related field (or equivalent experience)., • Minimum of 8 years of experience in IT support, including 3-5 years of hands-on experience in cybersecurity, system administration, or a related role., • Strong technical knowledge of various computing platforms, including servers, networks, and storage., • Well-organized, detail-oriented, and flexible to handle multiple assignments and meet deadlines with a safety mindset., • Ability to exercise good judgment, integrity, and make sound business decisions., • Versatility, adaptability, and a willingness to learn new technologies., • Willingness to provide off-hour, on-call support for workstations, servers, and other system-related issues, including travel to various supported sites., • Flexibility to work overtime and adjust work hours for emergencies or scheduled work outside normal business hours., • 2nd and 3rd-level technical support, • Ability to intrepid, modify and write scripts and SQL queries, • Analysis of cyber activity / threats, • Experience with Splunk, • Failover Manager administration with clustering VMware To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Tana Stilloe at . Kindly forward this to any other interested parties. Thank you!

Job DescriptionSamba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel. This Sales Engineer role will play a key role in driving Samba’s sales and revenue efforts by combining technical expertise with consultative selling strategies to position our enterprise products as trusted solutions for clients. This individual will empower sales teams to close deals effectively while emphasizing the measurable value of Samba’s offerings in Media Activation, TV measurement, planning, tune-in analysis, and outcomes-based strategies. This role requires a balance of technical skill, consultative sales ability, and a client-focused approach. The ideal candidate will be instrumental in shaping sales conversations, demonstrating how Samba's products solve critical business challenges and deliver ROI while building strong client relationships. Location: This role will be based in Samba’s LA or NY office and reports to the Director of Sales Engineering.What You'll Do • Build collaborative relationships with enterprise sales teams as a trusted resource for product and technical expertise., • Enhance sales opportunities by joining first-contact client meetings to present all Samba solutions in a trusted, consultative manner and being able to hone in on the correct product solution, whether that is a measurement use case or data licensing opportunity., • Actively participate in the entire sales cycle, from discovery to closing, leveraging deep knowledge of Samba’s offerings to articulate value and drive decision-making., • Promote Samba’s products with a sales-focused mindset while maintaining trust by aligning solutions to genuine client needs., • Serve as a trusted advisor, analyzing clients' needs to recommend the best Samba products and demonstrating how they deliver results., • Be able to probe a client's business challenges and innovate Samba’s enterprise data solutions or measurement solutions to fit and overcome those challenges, such as recommending tune-in or TV outcomes-based solutions., • Simplify complex technical concepts for non-technical audiences while providing in-depth explanations to technical stakeholders when needed., • Address technical challenges collaboratively with Product and Engineering teams, ensuring smooth implementation and seamless client experiences., • Leverage expertise in media measurement tools, TV tune-in metrics, and outcomes-based analytics to craft technical solutions that demonstrate Samba’s ability to drive success., • Utilize knowledge of APIs, clean rooms, SQL, Python, and cloud platforms like AWS, Azure, or Google Cloud to tailor solutions to client needs., • Ensure Samba’s products integrate smoothly with client systems while highlighting their role in achieving key measurement outcomes., • Identify opportunities for upselling and cross-selling Samba’s products, using data insights to guide sales strategies., • Partner with internal teams to align product offerings with market needs, contributing to go-to-market strategies that emphasize measurable client benefits., • Analyze customer feedback and market trends to inform product improvements and refine solution delivery., • Work closely with Sales, Product, and Marketing teams to align strategies and ensure consistent messaging around Samba’s value propositions., • Act as a bridge between technical teams and clients, facilitating clear and effective communication to meet client expectations., • Represent Samba at client meetings, industry events, and strategic discussions, advocating for our capabilities in trusted and outcome-driven selling.Who You Are, • 2-4 years of experience in roles such as Sales Engineering, Product Management, or a related field in AdTech, Measurement, or MarTech., • Strong expertise in media measurement, TV measurement, and data services., • Hands-on experience with tools and technologies, including SQL, APIs, ETL workflows, and cloud computing platforms., • Exceptional presentation, communication, and interpersonal skills, with a knack for simplifying technical concepts., • Proven ability to pitch, sell, and negotiate with technically minded stakeholders., • Trusted Partner: A natural collaborator who sales teams trust to enhance client interactions and increase deal success rates., • Solution-Oriented: A proactive mindset, capable of identifying challenges and crafting tailored solutions., • Approachable & Friendly: Builds rapport effortlessly with internal teams and clients, fostering a positive and productive environment., • Adaptable: Comfortable navigating changing priorities and market conditions., • Collaborative: Thrives in cross-functional teams and builds strong relationships with internal and external stakeholders., • Bachelor’s degree in Business, Engineering, Marketing, or a related field. An MBA or advanced degree is a plus. #LI-AH1Samba expects to offer a base salary between $115,000 - $135,000 per year for roles to be performed in New York or California; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba’s total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Job Description The Presales Manager: Digital Workplace (DWP) PreSales Manager will be primarily responsible for creating winning Propositions and solutions for all Work Place Solutioning opportunities in North America Geography The DWP Presales Manager will have responsibility to provide technical solution. He/she will also be responsible for front ending all Solution Discussions with Customers, Onsite Sales team along with Sales Leaders, BDM’s, Account Managers, Solutioning experts and EUC Architects. He/she will report into the Geography Presales leaders and will take directions from him/her Job Location: Chennai / Bangalore / Noida Requirements • 15+ years of IT experience, mostly in the areas of Infrastructure services and management, • The core focus of the role is to define requirements and deliver propositions/solutions to meet the needs of a variety of clients. There will be a particular focus on major end user computing infrastructure engagements., • Lead Presales activities for EUC services engagements and scope complex or critical IT programmes as well as high level business cases. Participate to develop and manage architecture governance structure on the basis of business, and IT strategies, as relevant for End User Services., • Working closely with sales team to support sales bid processes and generate leads and opportunities ., • Selecting and/or reviewing approaches and standards to suit client challenges and opportunities, • Extensive experience acting at a senior level with responsibility of delivering business critical solutions into enterprise scale organisations., • Experience of end-user computing solutions across a variety of business and IT functions – including knowledge of solution areas and vendors such as Microsoft, Citrix, VMWare, VDI, MSOffice, desktop migration., • Proven value delivery through complex, large scale solutions from business case to project review, • Should have in-depth understanding of technology stack and the next generation technology innovations in Market place., • Should possess excellent commercial acumen and experience of integrating and aligning business requirements, functional requirements and technical solutions, • Should have a thorough understanding of Public Cloud Architecture and its integration with On-premise solutions, • Knowledge of Active Directory, Messaging, Application Services., • Strong domain knowledge of End User Computing & Service Desk - Rich experience in Solution design for End User Projects and Managed Services deals., • In depth knowledge of key technologies like VDI, SCCM, MS Platforms related to end user, Citrix/VMware, • Have Strong Desktop Virtualization concepts (Planning, Consulting, Architecting, Implementing). Aware of various Desktop Virtualization models such HSD, Terminal Services, Client Side Virtualization. Good Knowledge of Application Virtualization platforms including XenApp, App-V and ThinApp. Knowledge in Active Directory, Group Policy and System policy, • Flair for pre-sales, customer interaction and fluency in communication is crucial. Exhibits excellent interpersonal skills. Should have excellent Communication Skills and should be able to successfully interface with Customer for Technical discussions. Rich Experience of handling CXO level discussions and positioning solutions, Excellent Presentation Skills Should have a thorough understanding of creating complex EUC Solutions and should have been responsible for creating Solutions as requested by the Customer in the RFP/RFI process.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. The first priority is to bring on Technical Product Leader, who will be the conductor to this symphony, communicating vision to the engineers, and telling the story to the business users, manage timelines and keep everything inline from a product development to launch. This person will be part of the creative side, and be the person whose model it run through to create and execute. It is a complete greenfield project with massive resources and interest/buy-in. AI, machine learning, and big data experience, is not mandatory for the role, because this is more about having a system and approach to bring things along to market, like and architect building a house, don’t need to have built every type of house to know best practices, constraints, etc. RESPONSIBILITIES • Support the development and execution of product strategy through effective capture and synthesis of voice of customer and voice of internal teams to drive business strategy, product development and go to market strategy., • Perform research and analysis underpinning market selection, competitive and trend analysis and strategic market response including vision and initiatives., • Analyzing market segments, personas and consumer audiences, pains and gains to produce targeted value propositions., • Own UAT QUALIFICATIONS • Extensive experience in product management and market analysis, being as comfortable on the white board with a developer, as you are discussing strategic iniatives with the business., • Proven track record with go to market execution, • Technical project or delivery management experience with SaaS product., • Bachelors in Computer Science , Engineering, or Mathematics It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job DescriptionWhy Join You'll be joining an early, fast‑moving team building a completely new category of computing: a personal cloud computer powered by AI. This is not another SaaS tool — it's a frontier product that blends consumer UX, cloud infrastructure, and intelligent agents. A few reasons engineers love this team: • Early-stage rocket ship — ~$30M raised, engineering team growing from 5 20+ this year., • Frontier AI product — build the first consumer‑grade cloud computer with AI at its core., • Elite founding team — founders previously built at Venmo, Substack, Stripe, and Fin., • Huge ownership — you'll own major product areas from day one., • High-agency culture — flat structure, fast iteration, and real impact. You'll work across the entire product surface — from designing user flows to building backend systems — and help define what a personal cloud computer should feel like for everyday users. This is a broad, high‑ownership role. Everyone contributes to product direction, customer support, debugging, and polishing the experience. No small scopes here — you'll help push the entire mission forward. What You'll Do • Own features end‑to‑end: ideation design implementation launch, • Build high‑quality full‑stack code in Python and TypeScript, • Work closely with founders to shape the product roadmap, • Think creatively to solve open‑ended problems in AI and cloud computing, • Act as a product manager when needed — defining requirements, prioritizing work, and making tradeoffs, • Contribute to customer support, bug fixes, and product polish, • 5+ years as a software engineer, • Experience at a fast‑growing, reputable startup or a strong consumer/devtools company, • Former founders or early employees are highly valued, • Background in consumer products or developer tools is a strong plus, • Degree in a STEM field (CS preferred, but physics/math/engineering also great)Technical Skills, • Strong full‑stack abilities, • Proficient in Python and TypeScript, • Comfortable building across backend, frontend, and APIs, • Ability to design clean systems, intuitive APIs, and thoughtful UX flowsSoft Skills, • High agency and initiative, • Strong product sense and taste, • Comfortable with ambiguity and rapid iteration, • Willingness to jump into customer support and polish work, • Thrives in early‑stage, non‑9‑to‑5 environmentsTraits That Don't Fit, • Looking for narrow scope or rigid structure, • Prefers a traditional 9‑to‑5, • Needs heavy guidance or long onboarding, • Uncomfortable with fast-changing prioritiesWork Setup, • Strong preference for in‑person collaboration in Brooklyn (NYC), • SF office opening soon; remote possible for exceptional candidates, • Visa sponsorship available, including new H1B applications

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

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * AI Safety * PhD focused on topics related to adversarial machine learning, red teaming and model alignment. * Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. * Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. * Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. * Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond. What you'll do • Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets, • Design and own data architecture for large-scale projects while managing operational trade-offs, • Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains, • Define and manage Service Level Agreements (SLAs) for all owned data sets, • Implement data security models, ensure privacy compliance, and evolve data governance processes, • Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data, • Maintain production processes by optimizing complex code using advanced algorithmic concepts, • Streamline data artifact development by optimizing pipelines, dashboards, and frameworks, • Mentor team members through actionable feedback to foster collective skill growth, • Maintain flexibility with availability during evening hoursWhat we're looking for, • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, • master's degree is preferred, • 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud, • 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems, • Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt, • Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres, • Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines, • Ability to deliver high standards of code quality, system reliability, and performance, • Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments, • Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNSWhile not required, these are a plus:, • Experience with Spark and PySpark When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Senior Director, Applied Research Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research * At least 5 years of people leadership experience Preferred Qualifications [choose applicable set based on focus of role]: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Member of technical leadership for model deployment for a very large user behavior model * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large language models * 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Numerous Publications studying tokenization, data quality, dataset curation, or labeling * Leading contributions to one or more large open source corpus (1 Trillion + tokens) * Core contributor to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director, Applied Research Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. The AI Foundations – AI Software Engineering team builds scalable, state-of-the-art AI architectures designed to transform the software development lifecycle at Capital One. Our goal is to empower internal engineers by developing multi-agent solutions that streamline design, code generation, system migration, and troubleshooting to operate software more effectively at scale.To achieve this, we leverage a cutting-edge stack including LangGraph, MCP, Knowledge Graphs, agent-to-agent protocols, and advanced model customization. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Agentic AI Research * PhD focused on multi-agent systems, autonomous agents, planning, or reinforcement learning * Hands-on experience developing and deploying multi-agent architectures (e.g., using frameworks like LangGraph or specialized agent protocols) * Experience with techniques like tool-use integration, memory management for agents, or verifiable agent behavior * Knowledge Graph Research * PhD focused on knowledge representation and reasoning, graph neural networks (GNNs), or large-scale data integration * Publications in relevant venues (e.g., ISWC, WWW, KDD, Neurips, ICML) on knowledge graph construction, embedding, querying, or reasoning * Experience in designing, implementing, and deploying industrial-scale Knowledge Graph solutions * Demonstrated expertise with graph databases (e.g., Neo4j, JanusGraph) and graph embedding techniques * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Do you enjoy solving technical issues, empathize with customer user experiences and want to keep up with the latest tech? We are looking for a Cloud Infrastructure Engineer that will work with talented software engineering and support teams to deploy, maintain and ensure reliability of our applications in a fast paced environment. Successful candidates will possess: • Passion for cloud computing and building innovative solutions in the cloud, • You have hands-on experience with CI/CD pipelines., • You bring experience with Infrastructure as Code - Terraform, AWS Cloud Formation Templates., • You are experienced with infrastructure automation tools – DataDog, Splunk, Jenkins, Artifactory., • You have experience working with containers (Kubernetes) and serverless applications (Lambda, SQS, DynamoDB, S3)., • You have a solid understanding of networking, virtualization, storage, containers, and serverless, • Understanding of run time environments and common issues with hands on experience using monitoring tools for Application, Service, Infrastructure and Data Quality Monitoring., • You have experience working in an agile environment., • You have a good demeanor towards solving problems skills that span systems, network, and applications., • You bring a strong team focus with good relationship building skills + work with broader distributed team, • You have strong written and verbal communications skills., • Certification in public Cloud (AWS) and Kubernetes is a plus. What You’ll Do: • Developing automation for developer experience tooling, • Building pipelines to enable developers to successfully migrate to Cloud, • Scripting ability in PowerShell or Bash Shell Unix Scripting, • Supporting customers through their infrastructure and code deployments, • Work with a team of Engineers to design, deploy, and optimize connectivity solutions in the cloud and on-prem., • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions., • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community, • Collaborate within the team and with partner teams to drive automation solutions that optimize deployments, improve resiliency, and reduce downtime, • Support a maturing practice through development of infrastructure as code techniques and CI/CD pipeline automation, • Manage, grow and maintain vendor relationships to drive innovation, collaboration, and capability alignment.

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

Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $278,400 - $317,700 for Distinguished Applied Researcher Cambridge, MA: $306,300 - $349,500 for Distinguished Applied Researcher McLean, VA: $306,300 - $349,500 for Distinguished Applied Researcher New York, NY: $334,100 - $381,300 for Distinguished Applied Researcher San Francisco, CA: $334,100 - $381,300 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing 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 6 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 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing 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 Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 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 * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 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 * Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Technology Services team is integral to maintaining the Firm's overall technology, mobile and desktop devices, and core infrastructure to ensure reliable, secure and efficient operations. Technology Services is a single global operation with representation in each of the Firm's offices. Additionally, we have shared service centers in Tampa and Manila, supporting a wide range of technologies and operations. In addition to overseeing critical enterprise systems and providing world-class client service to our global user community, we are committed to achieving a balance between new and innovative technologies while constantly ensuring data security and compliance with legal and regulatory standards, resulting in realizing value from the latest developments in technology, such as generative artificial intelligence and cloud computing models, while safeguarding sensitive client information against cyber threats and other business interruption events. Technology Services plays a significant role in supporting the Firm's systems and people. As part of our Technology Applications Development team, you will play a pivotal role in designing, developing, and maintaining applications with Microsoft's AI toolset, including Copilot Studio, Azure AI Services, Power Platform, and full custom development in the M365 ecosystem along with React, and Node.js. Your work will contribute directly to enhancing business process efficiency within the Firm. You will also collaborate with the Innovation Team and data scientists to explore and implement AI-driven solutions that push the boundaries of legal technology. The ideal candidate has a strong technical foundation, a passion for software development, and a keen interest in AI research and development. You will work across various projects, applying a mix of technical expertise, creativity, and problem-solving skills. You will be proactive in identifying areas for improvement, innovating new solutions, and driving projects forward in an agile environment. Supporting the firm's needs, you will develop a good understanding of how the firm operates. You will also be an integral part of our focus on delivering the Firm's vision of profitable growth and will champion our internal culture. Aware of the contribution that you can make to the plans and decisions that will deliver engaged people and outstanding client relationships around the world, you will be confident in speaking up and proactively look for ways to make a difference and implement process improvements. In return, you will have a front-row seat in a business that is changing rapidly within a team that is friendly, supportive and welcoming. • Develop, integrate, and maintain AI-powered applications using Microsoft AI and cloud technologies (Azure OpenAI, Cognitive Services, Machine Learning, etc.)., • Leverage Azure AI services to implement NLP, computer vision, and predictive analytics solutions., • Build and integrate AI-driven solutions into business processes to enhance efficiency., • Develop applications within Azure Foundry, optimizing them for performance and scalability., • Collaborate with the Innovation Team and data scientists to explore R&D initiatives related to AI and automation., • Implement Copilot and Copilot Studio solutions to streamline workflows and automate tasks., • Work with Power Platform (Power Automate, Power Apps, Power Virtual Agents) to create intelligent workflow automation., • Participate in full software development lifecycle (SDLC) activities, including design, development, testing, deployment, and support., • Develop custom solutions using JavaScript, React, typescript, Python and the Graph API., • Develop and maintain cloud-native applications, ensuring optimal security, scalability, and compliance., • Follow DevOps best practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing., • Monitor and maintain existing applications, ensuring they remain performant, secure, and up to date., • Troubleshoot technical issues and implement bug fixes proactively., • Stay informed of the latest Microsoft and AI advancements, incorporating new technologies where applicable., • Maintain the practice of continuous improvement and education by attending seminars, etc., and keeping current on new leadership skills., • Maintain professional and technical knowledge by reviewing related professional publications., • Stay in tune with the Firm's growing projects for practical experience., • Interact with all levels of staff., • B.S. degree in Computer Science, Software Engineering or related field, or equivalent experience, • 3+ years of experience in software development with a focus on AI, automation, or cloud-based solutions., • Experience developing in Python, React, JavaScript/TypeScript, and PowerShell., • Knowledge of AI/ML frameworks and integration of AI models into applications., • Understanding AI/ML concepts, including NLP, chatbot development, and automation., • Strong knowledge of DevOps methodologies, CI/CD pipelines, and Git-based workflows., • Team player who is ambitious and motivated., • Excellent interpersonal skills and patience working with others., • Must be able to multitask and work in a fast-paced environment., • Must have excellent customer service skills, • Excellent verbal and written communication skills with the ability to write concise, accurate and readable technical documentation and reports, • Successful track record of working in an IT development team, • Demonstrate a high level of technical expertise and ability This role reports to Senior Manager, Applications Development Equal Opportunities White & Case is committed to creating a fair workplace. It is our Firm's policy to recruit, employ, train, compensate, and promote without regard to race, religion, creed, national origin, age, gender, sexual orientation, marital status, military or veteran status, disability, genetic information, or any other category protected by applicable law. If you require assistance and/or adjustment to participate in our application and/or interview process, please ___. We will be happy to work with you. The Firm may modify and amend any job description at any time in its sole discretion. Nothing herein creates a contract of employment or otherwise modifies the at-will nature of employment. The above is only a general description of the essential duties associated with this position and does not represent an exhaustive or comprehensive list of all duties. . New York Pay Range: $128,000 - $208,000. Salary range in other markets will vary. Note to Recruitment Agencies Our internal Recruitment team manages all aspects of lateral hiring. All agencies must have signed terms of business-specific to the relevant office-before submitting any candidates. CVs or applications sent directly to White & Case partners or employees will also not be considered formal introductions. If you have questions, please contact the relevant Recruitment team. We work with our preferred suppliers when engaging agencies.

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. Key Responsibilities: • Tool & System Development:, • Design, develop, and maintain tools that support trading operations, including automation solutions and risk management systems., • Work closely with trading teams to identify areas for improvement and innovation., • Alert & Monitoring Systems:, • Develop and implement real-time alerts and monitoring systems to identify anomalies, opportunities, and risks in the trading environment., • Continuously refine and optimize alert systems based on feedback and performance metrics., • Data Analysis & Reporting:, • Analyze trading data to identify trends, patterns, and insights that can inform trading strategies and tool development., • Generate reports and dashboards that provide clear and actionable insights to trading teams and management., • Collaboration & Support:, • Work closely with stakeholders across the trading department to ensure tools and systems meet the needs of the team., • Provide training and support to trading teams on new tools and systems., • Continuous Improvement:, • Stay up-to-date with the latest trends and technologies in sports betting and trading., • Proactively identify opportunities for process improvement and innovation within the trading function., • Lead or participate in special projects aimed at enhancing trading performance and operational efficiency. Essential Functions • Must be able to stand or sit and operate computers and other technological devices for extended periods of time Qualifications • 3+ years experience in a sports trading role required, • 3+ years experience in an analytical role preferred, • Technical skills in SQL, Python, Google Apps Script, cloud computing platforms (e.g., AWS, Azure, Google Cloud) preferred, • Experience with Apache Kafka for real-time data processing and streaming is a plus, • Experience in developing tools and systems for a trading department a plus, • Bachelor's degree preferred, • Ability to work under pressure in a fast-paced environment, • Ability to communicate effectively with a range of stakeholders, • Effective analytical and problem-solving skills, • High attention to detail, • Extensive knowledge of sports betting products and terminology, • High level of personal initiative and motivation, • Aptitude for project management and ability to clearly communicate updates at all stages of project lifecycle through delivery Compensation For Salaried Roles The annual salary range for this position is $79,840.00 to $106,454.00. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-IK1

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world. The Principal, Business Development – Physical AI is a strategic market-creation role responsible for developing and driving the Go-To-Market (GTM) strategy for the entire Physical AI ecosystem. You will act as the founding commercial lead, bridging the gap between our infrastructure and the three pillars of the industry: Model Builders (Foundation Models), Robot Builders (Humanoids/Autonomous Systems), and ISVs (Simulation/Data Tools). You will own the ecosystem strategy, ensuring Nebius becomes the default infrastructure for embodied intelligence. Operating at the intersection of supply (Nebius technology) and demand (The Physical AI Ecosystem), you will architect the strategy for winning developer mindshare, validate it through "Lighthouse" wins, and scale it by enabling the broader field. This is a definitive "Zero to One" opportunity to define the commercial strategy for a new category of cloud infrastructure from the ground up. You’re welcome to work remotely from the United States (SF Bay Area, CA & Austin, TX Preferred) Your responsibilities will include: • Ecosystem GTM Strategy: Create and own the comprehensive Go-To-Market strategy for the Physical AI vertical. Define the segmentation, targeting, and positioning for Model Builders, Robot Builders, and ISVs, ensuring we have a cohesive narrative for the entire value chain., • Lighthouse Deal Execution: Identify and secure relationships with the top 10 most innovative companies in the ecosystem (e.g., Foundation Model builders, Humanoid startups), converting them into "Design Partners" whose successvalidates our platform., • Drive Ecosystem Revenue: Own the long-term revenue trajectory of the Physical AI domain, ensuring that early "Lighthouse" technical wins translate into massive, high-volume compute consumption as our customers scale their training and simulation workloads., • Field Enablement: Act as a force multiplier for the sales organization by codifying your market learnings into a scalable "Physical AI Playbook." Create battle cards, training modules, and positioning guides to enable the core Sales, Marketing, and Partnership teams to identify and close opportunities independently., • ISV & Partner Alignment: Map the critical software stack (Simulation platforms, Data Labeling, Middleware) and structure partnerships that create a frictionless developer experience. Ensure our GTM strategy aligns with these partners to drive co-sell motions., • Product Signal: Serve as the primary sensor for Product & Engineering, synthesizing complex customer requirements regarding simulation, synthetic data, and reinforcement learning into clear product signals., • Orchestrate Joint Value: Structure "first-of-their-kind" partnerships and design partner agreements that serve as templates for the rest of the organization, moving beyond standard cloud consumption contracts., • Ecosystem Evangelism: Evangelize our vision at industry events (e.g., CVPR, CoRL, ICRA) and executive briefings, positioning Nebius not just as a vendor, but as a fellow innovator in the stack., • Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings, friction points, and unmet needs are tracked, communicated, and acted upon by leadership. We expect you to have: • 7+ years of experience in business development, strategic partnerships, or product strategy within Cloud, AI, or Robotics., • GTM Strategy Experience: Proven ability to define a strategy from scratch—segmenting a market, defining the pitch, and building the playbook for others to follow., • Market Maker Capacity: Experience taking new, complex technologies and finding their first foothold with technical early adopters before a playbook existed., • Deep Domain Fluency: You speak the language of the builders. You understand the difference between Sim2Real gaps, foundation model training, and inference latency. You know the key players (startups and ISVs) in the modern robotics stack., • Enablement Mindset: You enjoy teaching and scaling knowledge. You can take complex technical wins and distill them into simple, repeatable sales motions for a broader team., • Cross-Functional Orchestration: Proven track record of working across Sales, Marketing, Product Marketing, and Partnerships to align distinct teams behind a unified GTM strategy and execution plan., • Startup DNA: Experience working with (or within) high-growth, venture-backed startups. You understand the urgency, the technical depth, and the pivot-ready nature of this customer base., • Communication: Strong executive presence and communication skills, capable of holding your own with VC-backed founders and CTOs., • Comfort in Ambiguity: Experience operating in fast-moving environments where the sales motion is not yet defined and requires real-time iteration. Why Nebius: • Market Creation: You aren't just selling a commodity; you are validating and creating the market for specialized Physical AI infrastructure., • Strategic Impact: Operate with real influence over product direction, company-wide sales strategy, and ecosystem development., • Frontier Technology: Work at the bleeding edge of embodied intelligence, engaging with the companies defining the future of the physical world., • High Leverage: Focus on the top 10% of transformative customers and strategic partners that drive the next 90% of growth, • Mission: Help define how intelligence moves from the data center into the physical world. Key Employee Benefits: • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families., • 401(k) Plan: Up to 4% company match with immediate vesting., • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers., • Remote Work Reimbursement: Up to $85/month for mobile and internet., • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Compensation We offer competitive salaries, ranging from $265k - $315k OTE (On Target Earnings) and equity based on your experience, skills, and location. Join Nebius Today! If you’re passionate about pushing the boundaries of AI infrastructure and want to be part of a team that’s shaping the future of AI, we’d love to hear from you. Apply now and become a driving force in our global mission. What we offer • Competitive salary and comprehensive benefits package., • Opportunities for professional growth within Nebius., • Flexible working arrangements., • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Description: ABOUT THE COMPANY: Global-e (Nasdaq: GLBE) is the world’s leading platform to enable and accelerate global, direct-to-consumer cross-border e-commerce growth. The chosen partner of hundreds of retailers and brands across the United States, Europe and Asia, Global-e makes selling internationally as simple as selling domestically. With Global-e, retailers and brands can increase international traffic conversion and grow sales by offering customers in over 200 destinations worldwide a seamless localized shopping experience. Our end-to-end e-commerce solutions combine best-in-class localization capabilities, big-data best-practice business intelligence models, streamlined international logistics and vast cross-border experience, enabling online retailers to sell to and from anywhere in the world and seamlessly expand their brand worldwide. Our people play the key role in our success, and we are always looking for more driven, talented and ambitious individuals to join our growing international family. ABOUT THE ROLE: As a Principal Software Engineer at Global-e, you will design and deliver the core services behind our global logistics platform. You will drive innovation within our API‑first microservice architecture built on Scala, Kubernetes, and AWS. Working with cross‑functional teams you will design and implement robust distributed systems that handle millions of transactions. Your contributions will fuel our growth, shape global logistics capabilities for merchants worldwide, and elevate the technical bar for the entire organization. Our Logistics team is critical to Global-e’s success. We integrate with multiple global carriers, manage taxation and compliance, and offer real-time tracking for customers everywhere. By combining deep industry experience with cutting-edge technology, we deliver best-in-class e-commerce solutions. If you’re driven to build software that makes a real-world impact on a massive scale, we’d love to hear from you. This role reports to the Engineering Manager for the team and is based out of our Hoboken, NJ office or our Dublin, Ireland office. You Will: • Deliver High-Impact Features: Lead the design, development, and deployment of new capabilities across logistics (fulfillment, labels, tracking) and order management workflows., • Shape Technical Architecture: Define, communicate, and guide architectural decisions to ensure scalability and reliability., • Elevate Standards: Champion clean code, best practices, and robust testing frameworks, pushing the team to achieve technical excellence., • Scale the Product: Propose and implement features, tooling, and infrastructure that support exponential growth and operational efficiency., • Ensure Quality & Reliability: Employ a rigorous approach to verification, focusing on stable, high-performing systems that meet critical metrics and SLAs., • Move Fast with Confidence: Embrace a rapid, iterative release cycle, balancing speed and safety through CI/CD pipelines, effective monitoring, and efficient processes., • Collaborate & Share Knowledge: Work closely with other engineering teams, product managers, and stakeholders to ensure alignment and share expertise., • Curious & Enthusiastic: You thrive on tackling complex problems, learning new technologies, and sharing insights with others., • Continuous Learner: You stay updated on emerging trends in distributed systems, cloud computing, and software engineering best practices., • Effective Communicator: You translate intricate technical details into clear, actionable information for both technical and non-technical audiences., • A Deep Problem Solver: You analyze both technical and business challenges to identify optimal, future-proof solutions., • Adaptable & Resilient: You excel at navigating shifting priorities, managing unplanned work, and ensuring high-impact deliverables stay on track., • Team-Oriented: You believe great teams build world-class products, and you’re committed to mentoring and collaboration. Requirements: You Have: • 7+ Years of Experience: A proven track record building large-scale, customer-facing applications in a fast-paced environment (e-commerce, fintech, tech startups a plus)., • Distributed Systems Expertise: Familiarity with designing, deploying, and operating resilient, fault-tolerant systems that handle high traffic., • Engineering Practices Proficiency: Hands-on experience with Agile methodologies, CI/CD pipelines, and rapid release cycles., • Strong Database Skills: Ability to optimize and scale applications involving complex data interactions Why Join Global-e? • Impact at Global Scale: Build features used by millions, simplifying global commerce and transforming the e-commerce landscape., • Modern Technology Stack: Work on an advanced microservices platform, leveraging cloud-native tools and best-in-class engineering practices.

About Pantheon Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon’s multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard. Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon’s collaborative workflows. The Role We’re hiring an Enterprise Account Executive to join our US - West Coast team and drive net new revenue within our most strategic accounts. You’ll be responsible for the full enterprise sales cycle: from prospecting into large-scale target accounts to running complex discovery, building executive champions, and closing high-impact deals. This is a hunter role designed for a seasoned sales professional who thrives on outbound motion and excels at navigating the complexities of large enterprise organizations. Why This Opportunity Is Unique • Strategic Impact: You will be driving revenue in a key growth territory, helping to refine our enterprise sales playbooks and scale our presence in the Eastern US market., • Untapped Potential: While we have a leading position in North America, the enterprise segment in the East remains a high-potential area with many recognizable logos and significant white space., • Proven Stability & Growth: With $100M+ in ARR, profitability, and a strong balance sheet, we offer the product maturity and resources of an established leader with the agility of a high-growth company. What We’re Looking For • Entrepreneurial Spirit: Someone who enjoys solving challenges and is comfortable helping to create and refine processes., • Team Player: A team-first attitude with no ego and a positive, growth-oriented mentality., • Enterprise Experience: Proven B2B SaaS sales experience, specifically closing complex enterprise deals often exceeding $100k+ in ACV., • Outbound Excellence: A proven outbound seller capable of building a robust pipeline from scratch through systematic prospecting., • Value-Based Selling: Strong at leading technical discovery and building comprehensive business cases, including ROI calculators and "before/after" workflow analysis., • Sales Rigor: Fluent in MEDDIC, SPICED, or Command of the Message (or similar enterprise sales methodologies)., • Communication & Presence: Exceptional storytelling and communication skills, both written and verbal, with the ability to engage C-level stakeholders., • Willingness to Travel: Enjoys meeting face-to-face with prospects and partners; able to travel approximately 20-30% of the time. Responsibilities • Full Cycle Ownership: Own the entire sales cycle from initial outbound prospecting to "Closed Won.", • Territory Management: Treat your territory like a business—segment accounts, prioritize high-potential enterprise targets, and build focused plans for long-term market coverage., • Quota Achievement: Consistently deliver against quarterly and annual revenue targets., • Persona Alignment: Conduct deep discovery and value-selling tailored to Developer, Marketing, and IT personas., • Multithreaded Deal Management: Navigate complex deals involving stakeholders from Digital, IT, and Marketing to Procurement, Security, and external Partners., • Cross-Functional Collaboration: Partner with Sales Development, Marketing, Solutions Engineering, and Customer Success to ensure a high-impact buyer journey., • Forecasting: Maintain an accurate forecast using MEDDIC or a similar sales methodology., • Partner & Channel Execution: Build and execute a localized partner strategy within the East region. Actively collaborate with Referral Partners, VARs, and Cloud Computing Service Providers (GCP) to co-sell, drive warm introductions, and leverage the partner ecosystem to accelerate deal velocity and expand reach into key enterprise accounts. What We Offer We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team. • Industry competitive compensation and equity plan, • Flexible time off, sick days, and 13 paid holidays, • Comprehensive medical insurance including Health, Dental, and Vision, • Paid parental leave (plus fertility, adoption, and other family planning benefits), • In-office workspace, • Monthly allowance for wellness, reading, and access to LinkedIn Learning for continued development, • Events and activities both team-based and company-wide that inspire, educate, and cultivate The on-target earnings (OTE) range for this role is listed below. Pantheon’s compensation ranges are determined by role, level, and geographic location. US OTE: $285,000–$300,000 USD Pantheon is an equal-opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need reasonable accommodation due to a disability for any part of the interview process, please contact . Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment. After an offer is made and accepted, E-Verify will be used to confirm your identity and employment eligibility, as required by the U.S. Department of Homeland Security. Visa sponsorship is not available at this time. To review the Employee and Applicant's Privacy Policy, click ___.

About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Director, Center for DAIR. You will lead the coordination and execution of complex, large-scale AI research initiatives in mental health contexts. You will manage a team of approximately 10 data scientists and software engineers and collaborate closely with the Clinical Project Manager and project leadership, ensuring seamless collaboration and timely delivery of project milestones. You will oversee project planning, resource allocation, risk management, and stakeholder communication, using common project management tools and methodologies. This role requires strong project management expertise, technical fluency to communicate effectively with the engineering teams that will report to you, and the ability to navigate complex research environments while maintaining alignment with project objectives and organizational goals. This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions . The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Please note: We are not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming. You Will: • Work with team members across management, multiple engineering teams, clinical researchers, and stakeholders to develop project plans, timelines, milestones, resource requirements and deliverables, all in alignment with the overall mission of the project and organization., • Guide the team through the entire product development lifecycle, from road mapping and requirements gathering, through prioritization and scoping (OKRs), delivery of designs, and project management of engineering execution., • Coordinate cross-functional teams including data scientists, AI engineers, software developers, clinical researchers, and external collaborators to ensure efficient workflow and communication., • Achieve consensus around product vision and priorities across product research, design, engineering, and data science along with our leadership team., • Monitor project progress, identify risks and bottlenecks, and implement mitigation strategies to keep projects on track and within budget., • Help design and implement clinical validation and quality assurance testing for data generation, annotation workflows, and software development to ensure scientific rigor and reproducibility., • Ensure data quality, security, and compliance with privacy regulations for handling sensitive data. You Have: • Master's in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required., • 8+ years experience in technical project management for software development, data science, or AI/ML research projects., • 8+ years of experience working regularly with software development lifecycle, data engineering, machine learning, or cloud computing concepts., • 5+ years of practical experience with project management tools and methodologies (e.g., Notion, Jira, Kanban)., • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning)., • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required., • Demonstrated experience managing complex, multi-phase projects in software development environments with multiple stakeholders and competing priorities. #LI-hybrid #LI-remote Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at ___ This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Product Management Lead, Data Activation - CTO Office Location New York Business Area Engineering and CTO Ref # 10047855 Description & Requirements Who We Are / The Team Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative AI, and more. We are passionate about what we do. At Bloomberg, we put our users first. The world is always changing, and so are the ways people interact with data. We need product leaders who thrive in dynamic environments - building products and platforms that power global financial markets and enable innovation across industries. The Data Activation group, part of the Data & Analytics division in the Office of the CTO, is responsible for connecting Bloomberg's data systems to customer outcomes, both internal and external. This pillar brings together data, AI, APIs, and developer experience to ensure that Bloomberg's vast data assets can be discovered, accessed, and activated seamlessly. Our remit spans integrations with the Bloomberg Terminal, first- and third-party API platforms, external developer ecosystems, AI/ML applications, and BQL (Bloomberg's query language) that enables programmatic access to data. About the Role We're seeking a Product Management Lead to head the Data Activation pillar - a senior leadership role within the Data & Analytics group, reporting into the CTO organization. This leader will manage a multidisciplinary team of product managers, data scientists, technical writers, and developer relations professionals focused on enabling data-driven innovation and empowering customers - both inside and outside Bloomberg - to build on top of our data. You'll define and execute a product strategy that connects Bloomberg's internal data capabilities to real-world user experiences and outcomes. From shaping APIs and programmatic interfaces, to enabling AI and analytics use cases, to empowering external developers - you'll drive the "last mile" of data activation across the company's most strategic surfaces. This is a unique opportunity to build and scale a product function that sits at the intersection of data, AI, and developer experience, influencing how Bloomberg delivers data intelligence to the world. We'll Trust You To * Define and deliver a compelling product vision and roadmap for how Bloomberg's data is activated and experienced - across APIs, the Terminal, AI platforms, and developer ecosystems. * Lead and mentor a high-performing team of product managers, developer advocates, and data-focused specialists - fostering a culture of customer obsession, technical excellence, and collaboration. * Partner across engineering, AI research, and product teams to align on strategy and deliver seamless data access experiences that serve diverse user personas (developers, quants, analysts, researchers). * Drive innovation in programmatic data access through BQL, APIs, SDKs, and integrations - enabling customers to embed Bloomberg data in their own workflows and applications, including emerging agentic AI use cases. * Shape the external developer strategy, in partnership with engineering and business stakeholders, to extend the reach and impact of Bloomberg's data platform through robust tools, documentation, and engagement programs. * Define success metrics and KPIs, using data-driven insights to prioritize, measure adoption, and continuously improve the developer and data activation experience. * Stay ahead of industry trends in data APIs, AI/ML integration, developer platforms, and data monetization to ensure Bloomberg remains at the forefront of data innovation. You'll Need To Have * Bachelor's degree or equivalent practical experience. * 10+ years of experience in product management or related technical leadership roles, ideally within data, platform, or developer ecosystems. * 5+ years of experience managing product teams and leading cross-disciplinary groups. * Proven experience launching and scaling API or data platform products serving developers, analysts, or AI/ML practitioners. * Strong understanding of data systems, APIs, and developer workflows, including knowledge of query languages and programmatic data access patterns. * Exceptional ability to translate complex data and infrastructure capabilities into intuitive user-facing solutions. * A track record of customer-centric product thinking and delivering outcomes that drive measurable impact. * Excellent communication and collaboration skills, with the ability to align technical and business stakeholders around a shared vision. We'd Love To See * Master's degree in a technical or business-related field. * Experience building or scaling developer platforms or ecosystems. * Familiarity with AI/ML tools, APIs, and applied data products. * Background in data science, data engineering, or software development. * Demonstrable knowledge of financial markets * Deep curiosity about how data, AI, and APIs combine to unlock new possibilities for customers and the broader developer community. Salary Range = 235,000 - 350,000 USD Annual + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

HashiCorp Terraform, Datadog / Splunk, GitHub Actions, Okta) - Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents - Collaborate with other cloud-computing experts in your fiel

Job Description We are looking for someone that is generalist at heart, one who is curious, appreciates complexity, knows or wants to learn when to step back and when to dive deep. We call this role a Cloud Service Reliability Engineer. The Cloud Service Reliability Engineer will be responsible for effective design, execution, and maintenance of systems implemented on premise or in the cloud, primarily focused on identity and access management, cloud computing services/integrations, and data analytics technologies. Responsibilities of the Cloud Service Reliability Engineer: • Establishes technology product specifications and collaborates with various functions to ensure successful product development and implementation., • Deploys, supports and monitors new and existing services, platforms, and application stacks., • Drives improvements to processes and design enhancements for automation to continuously improve the production environment., • The Cloud Service Reliability Engineer will be responsible for effective design, execution, and maintenance of systems implemented on premise or in the cloud, primarily focused on identity and access management, cloud computing services/integrations, and data analytics technologies, • Establishes technology product specifications and collaborates with various functions to ensure successful product development and implementation, • Deploys, supports and monitors new and existing services, platforms, and application stacks, • Drives improvements to processes and design enhancements for automation to continuously improve the production environment Skills and Experience • Minimum of 5 years of experience in automating infrastructure, service delivery, and engineering site reliability, maintaining infrastructure on premise and in cloud environment, • Product does not really matter (any of Puppet, Chef, Fabric, Ansible, Salt is fine), • Proven experience with cloud Platforms (Azure, AWS, GCP), PaaS, SaaS experience, • DevOps Tools (GitHub, GitHub Actions, Jenkins, Jira and other CI/CD Tools), • Configuration Management and infrastructure as a Code(Terraform, Ansible) experience, • Expertise in Active Directory Domain Services, Active Directory Federation Services (ADFS), and Active Directory Certificate Services

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you! Responsibilities: • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models., • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals., • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints., • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency., • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data., • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems., • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards., • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields., • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures., • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation., • Strong mathematical foundations in linear algebra, probability, optimization, and information theory., • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.)., • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued., • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG)., • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data., • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains., • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro)., • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure)., • Contributions to open-source ML frameworks or custom CUDA kernels., • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment. At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. Expected Compensation: The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth. Base Salary Range: $85,000 - $150,000 USD What We Offer: • An opportunity to change the world and work with some of the smartest and most talented experts from different fields, • Growth potential; we rapidly advance team members who have an outsized impact, • Paid holidays, unlimited PTO

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at this Role: We are seeking a highly experienced and strategic Principal Engineer to lead the architecture, development, and operations of Managed databases for AI-workloads. In this role, you will help shape the vision and direction on how customers and internal stakeholders store and access operational data for AI/ML workloads. Further, the role will define the strategy and lead vertical stack integration of data needs for AI inferencing and Agentic flows. You will have direct access to customers and work closely with engineering stakeholders across CoreWeave products. What You'll Do: • Define and drive CoreWeave's Managed databases technical roadmap and strategy., • Design and implement advanced database solutions applicable to AI workloads, while ensuring fault tolerance, high-scale and low-latency., • Build solutions that offer programmatic access to creating, scaling, and modifying databases., • Champion initiatives to improve reliability, durability, and self-healing capabilities of systems, and assume operational responsibilities., • Develop operational review practices to assess performance against targets and iterating on those targets., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.Who You Are:, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field., • 10+ years of experience in distributed systems, with a focus on reliability and scale. Hands-on technical leader., • Prior experience with managed databases as a SaaS offering., • Proven experience building products to address customer needs., • Prior experience of building AI features in production is a plus., • Proficiency in Golang or Python., • Strong understanding of cloud computing infrastructure using Kubernetes, scalable architectures, and automation., • Excellent analytical and problem-solving skills, with the ability to synthesize problem statements from interactions with customers and design solutions given ambiguous requirements., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $227,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.What You'll Do • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment, • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Proactively identify risks, issues and provide mitigation strategies, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to help build and lead a best-in-class data practice, • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment, • Experience with project planning, including tasks, budgeting, resource allocation and balancing, • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc Preferred Additional Experience, • A solid understanding of key BI trends and the BI vendor landscape, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to understand/design small-to-medium size data architectures, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields

Job DescriptionAbout Us:Versana is an industry-backed fintech on a mission to make the syndicated loan market better. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You:Versana is looking for a Security Engineer to join our InfoSec squad. You will play an essential role in safeguarding our organization's information systems and data from potential threats and vulnerabilities. You will work collaboratively with senior engineers and cross-functional teams to enhance our security posture using cutting-edge technologies.Key Responsibilities: • Perform and validate application & API security testing (OWASP & API Top 10, business logic abuse, auth/authorization flaws, data exposure)., • Assist with vulnerability lifecycle management by gathering and normalizing findings (scanners, manual assessments, etc.), validating impact, setting priority, and assigning remediation tickets., • Integrate and maintain security tooling in CI/CD (SAST, SCA, DAST, SBOM, container and secrets scanning) and collaborate with developers to tune signal vs noise., • Assist with configuration and lifecycle management of AppSec tooling (e.g., CNAPP, WAF, secret management), • Contribute to threat modeling & secure design reviews (data flows, trust boundaries, abuse cases, cloud IAM, entitlement surfaces), • Partner with engineering, DevOps, product, and QA to embed secure patterns early (“shift left”) and provide code-level remediation guidance., • Automate repetitive security tasks and reporting where possible (scripts, pipeline jobs, policy-as-code), • Participate in incident response activities, including containment, eradication, and recovery efforts., • Support the implementation of security policies, procedures, and standards., • Stay up-to-date with the latest security trends, threats, and technology advancements.Must Haves:, • +5 years combined experience in software development and/or application security engineering., • Ability to read and develop secure code in at least one of: Python, Java, JavaScript/TypeScript, Go, or C#., • Understanding of Application Security principles and web application vulnerabilities such as OWASP Top 10, their risk and remediations, • Basic understanding of cloud computing principles and services (e.g., AWS, Azure, Google Cloud)., • Exposure to security tools such as vulnerability scanners., • Strong communication and teamwork skills., • Detail-oriented with a proactive approach to identifying and mitigating security risks.Nice to Haves:, • Pentest experience, • CompTIA Security+, CEH, GWAPT, OSCP or similar certifications., • Infrastructure-as-Code knowledge such as Terraform.

Job Description Overview Related Digital is a leading vertically integrated data center development and investment platform. We deliver digital infrastructure solutions to hyperscale technology companies so they can accelerate artificial intelligence and cloud computing ambitions. Founded by Related Companies, one of the most prominent, privately-owned real estate development firms in the United States, Related Digital uniquely combines Related’s 50-year+ history of executing complex real estate and infrastructure projects with its track record in real estate investing and clean energy solutions. With a multi-billion-dollar, near-term development pipeline in the U.S., Related Digital has the expert capabilities, depth of expertise and national scale to help hyperscale companies significantly grow their data center capacity on a rapid timeframe. Strategic Advantage: Related Digital harnesses expertise across real estate development and investment, data center development, complex infrastructure construction and clean energy development to bring differentiated solutions to hyperscale technology companies. National Footprint: Related Digital is based in New York and Dallas with operations across the United States. Related Companies has offices in gateway cities across the U.S. and London, and developments in 28 states and the District of Columbia, and boasts 4,000 employees. We are proud to be an equal opportunity employer and are deliberate about the team and culture we are building. We aim to ensure competitive total compensation that is commensurate with experience, workplace geography, and market standards. For information about how we use your personal information, including information submitted for career opportunities, please review our Privacy Policy at . #RelatedDigital #LI-RB1 #Onsite Responsibilities • Serve as the primary procurement lead for all owner-furnished equipment across multiple data center projects, ensuring alignment with design, schedule, and performance requirements., • Directly manage relationships with OEMs, distributors, and specialty vendors of mission-critical infrastructure such as switchgear, UPS systems, CRACs, PDUs, chillers, generators, and high-voltage equipment, • Drive the competitive sourcing process for OFCI packages: issue RFIs and RFPs, manage vendor Q&A, evaluate responses, and present clear recommendations for award to internal stakeholders, • Collaborate with design, development, and construction teams to align OFCI procurement schedules with fast-track project timelines and construction sequencing, • Work with internal teams to define technical and performance specifications for OFCI packages; coordinate with engineers to ensure documentation supports accurate vendor scoping, • Develop detailed bid and leveling packages for OFCI equipment, with an emphasis on total cost, lead times, warranty terms, logistics, and commissioning support, • Monitor production timelines, shipping milestones, and on-site delivery logistics in coordination with construction managers and trade contractors, • Lead scope review meetings and commercial negotiations with vendors; ensure contracts support project needs related to lead time, reliability, and uptime expectations, • Track and report OFCI procurement status across multiple projects, including commitments, remaining exposure, change orders, and cost impacts, • Stay current on supply chain trends in power and cooling equipment, identifying risks to schedule or pricing and proposing mitigation strategies, • Support project teams in resolving equipment-related disputes, delivery delays, or commissioning challenges; act as point of escalation for vendor performance issues, • Coordinate closeout documentation and warranty onboarding for all OFCI assets, ensuring a smooth transition to operations teams and facilities management. Qualifications • Minimum of 15 years of experience in real estate development, procurement, or construction management, with at least 5 years leading OFCI procurement for data centers or similar mission-critical infrastructure., • Demonstrated expertise in vendor negotiation, equipment sourcing, and procurement strategy for electrical and mechanical infrastructure in hyperscale or colocation environments, • Deep understanding of long-lead mission-critical components, including their role in commissioning and integration, • Strong ability to read and interpret complex design documents, technical specifications, procurement schedules, and vendor proposals, • Excellent stakeholder management and communication skills, including coordination with internal teams, OEMs, and contractors, • Experience developing and managing procurement schedules, tracking tools, and reporting frameworks for multi-phase data center builds, • Bachelor’s degree in Engineering, Construction Management, Supply Chain, or a related field. A master’s degree is a plus The anticipated base salary range for this position is listed below. In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives and a comprehensive benefits package. Anticipated base salary range: $250,000 - $300,000+ Actual base salary within the anticipated range will be determined by several components including but not limited to the individual's experience, skills, qualifications, and market factors.

Job Description Position Description A client of AlphaStaffHCM is seeking a Senior Software Engineer to lead frontend development initiatives across both our core product suite and digital customer experiences. This role requires a versatile engineer capable of building management consoles for our cloud and on-premise quantum devices while simultaneously delivering high-impact, interactive visualizations for market engagement. You will collaborate with backend engineers to integrate microservices for the core hardware control platform, while also working with UI/UX and Product teams to develop web-based demonstrations of our technology to a global audience. Responsibilities Product UI Engineering ● Develop a unified Next.js, React, and TypeScript codebase that functions as the central management interface for user access, system administration, and system auditing, which will be deployed in both cloud environments and on-premise hardware appliances. ● Integrate distributed backend microservices via RESTful APIs to visualize real-time hardware telemetry, job scheduling, and system status. ● Implement high-performance client-side data visualizations to visualize complex quantum phenomena. ● Manage runtime configuration strategies to ensure the application connects to the correct service endpoints regardless of the deployment environment. ● Implement Role-Based Access Control (RBAC) logic in the UI to enforce permissions and view-level security across complex application suites. Digital Experience & Interactive Applications ● Engineer interactive, web-based simulations that enable prospective customers to engage with quantum computing concepts in a browser environment. ● Implement advanced visualizations using Framer Motion, GSAP, Three.js or similar to represent complex physics logic intuitively. ● Maintain and optimize corporate web properties, ensuring compliance with Core Web Vitals, SEO standards, and mobile responsiveness. ● Oversee the technical integration of Content Management Systems to facilitate content updates by non-technical stakeholders. Required Qualifications ● 5+ years of professional experience in software engineering with a focus on frontend development. ● Strong knowledge of web security best practices, including the OWASP Top 10 (specifically XSS and CSRF mitigation), and experience implementing secure authentication flows (OAuth2/OIDC) and session management. ● Demonstrated ability to implement high-fidelity UI/UX designs with precision, strictly adhering to design specifications. ● Deep understanding of modern CSS layout models (Grid/Flexbox) and browser rendering engines. ● Experience integrating frontend applications with complex backend architectures, RESTful APIs, and microservices. ● Experience working with Content Management Systems or Headless CMS architectures (e.g., Next.js, Gatsby, Contentful). ● Knowledge of best practices for CI/CD. Preferred Qualifications ● Experience with WebGL, Three.js, D3.js, or similar for scientific data visualization. ● Knowledge of containerization workflows (Docker) for deploying frontend assets in on-premise environments. ● Familiarity with marketing technology stacks, including analytics implementation, A/B testing, and SEO best practices. Skills React, TypeScript, Next.js, CSS3, SCSS, Framer Motion, GSAP, REST APIs, Headless CMS, SEO, Responsive Design, Docker, CI/CD, OWASP, OAuth2 Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionCloud Systems Architect Employment Type: Full-Time, Mid-levelDepartment: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications:- Experience with and a complete understanding of the technology required for cloud computing.- Experience with the skills to migrate applications to the cloud.- Be able to build relationships between the customers and the team members.- The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing.- The ability and the knowledge to implement security information and event management to keep the customer's assets safe.- Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure.- Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails.- Typically a Bachelor's Degree and 6 years work experience or equivalent experience. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description SAS Technical IT Expert – W2 – BB4303 BB4303 Nutley, NJ 12+ Months Hybrid - On Site Tuesday-Thursday The SAS Technical IT Expert is responsible for the design, implementation, administration, and optimization of SAS analytics platforms and environments. This role ensures stable, secure, and high-performing SAS systems that support business intelligence, advanced analytics, grid computing, and regulatory or operational reporting. The expert works closely with data scientists, analysts, infrastructure teams, and business stakeholders to deliver reliable analytics solutions. Key Responsibilities • SAS Platform & Environment Management, • Install, configure, upgrade, and maintain SAS platforms (SAS 9.x, SAS Viya).Manage SAS servers across development, test, and production environments.Monitor system performance and proactively resolve issues., • Automation & Operations, • User & Application Support, • Continuous Improvement, • Strong experience with SAS Administration (SAS 9.x and/or SAS Viya)., • Proficiency in Linux/UNIX environments., • Experience with databases (Oracle, SQL Server, PostgreSQL)., • Knowledge of job scheduling and automation tools., • Cloud platform experience (AWS, Azure, or GCP) is a plus. TechData is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Company Description

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: As a Senior Cloud Support Engineer at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind. In this role, you will: • Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave., • Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA)., • Develop and deliver training sessions to improve the team's proficiency and efficiency in resolving customer issues., • Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes., • Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices., • Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions., • Contribute to refining processes, workflows, and playbooks for handling complex customer challenges., • Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches., • Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides., • Enhance the support team's knowledge of CoreWeave's products and services through continuous learning initiatives., • Have a Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position, • At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles, • Proven hands-on work experience with Kubernetes, • Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration, • Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback, • Experience with observability tools such as Grafana, • Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes, • Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes, • Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences, • CKA Certified, • Demonstrated experience with training, coaching, and creating onboarding materials., • Operates in a fast-paced, global, 24/7 support team environment, • Ability to collaborate across different time zones, • On-site office environment, hybrid, or remote options depending on location, • You love to dive into problems, test for solutions, and enjoy engaging with customers., • You're curious about AI. At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $122,000 to $163,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Overview Related Digital is a leading vertically integrated data center development and investment platform. We deliver digital infrastructure solutions to hyperscale technology companies so they can accelerate artificial intelligence and cloud computing ambitions. Founded by Related Companies, one of the most prominent, privately-owned real estate development firms in the United States, Related Digital uniquely combines Related’s 50-year+ history of executing complex real estate and infrastructure projects with its track record in real estate investing and clean energy solutions. With a multi-billion-dollar, near-term development pipeline in the U.S., Related Digital has the expert capabilities, depth of expertise and national scale to help hyperscale companies significantly grow their data center capacity on a rapid timeframe. Strategic Advantage: Related Digital harnesses expertise across real estate development and investment, data center development, complex infrastructure construction and clean energy development to bring differentiated solutions to hyperscale technology companies. National Footprint: Related Digital is based in New York and Dallas with operations across the United States. Related Companies has offices in gateway cities across the U.S. and London, and developments in 28 states and the District of Columbia, and boasts 4,000 employees. We are proud to be an equal opportunity employer and are deliberate about the team and culture we are building. We aim to ensure competitive total compensation that is commensurate with experience, workplace geography, and market standards. For information about how we use your personal information, including information submitted for career opportunities, please review our Privacy Policy at . #RelatedDigital #LI-RB1 #Onsite Responsibilities We are seeking an experienced Mechanical Engineer with a strong background in data center design to join our data center procurement team, which supports our growing development pipeline. This group is responsible for establishing equipment standards, evaluating long-lead vendors, and driving the technical decisions that shape our OFCI procurement strategy. This individual will play a key role in the design, technical evaluation, and delivery of complex, mission-critical facilities and should have deep expertise in HVAC systems, thermal management, and large-scale mechanical infrastructure. This position is based full-time at our Hudson Yards headquarters. Responsibilities * Lead and coordinate mechanical design for hyperscale projects from concept through construction. * Develop and review HVAC system layouts, load calculations, and equipment selections, ensuring alignment with performance, reliability, and energy-efficiency targets. * Ensure all designs comply with applicable codes, standards, and best practices (e.g., ASHRAE, SMACNA, NFPA). * Collaborate closely with internal project managers, electrical engineers, architects, and external consultants to deliver integrated and cost-effective solutions. * Evaluate utility and infrastructure requirements, including chilled water, condenser water, and air-side systems. * Review and approve submittals, RFIs, and shop drawings during construction. * Support commissioning and integrated systems testing to validate system performance, redundancy, and efficiency. * Participate in value engineering, constructability reviews, and risk assessments. * Stay current on innovations in mechanical systems, sustainability strategies, and energy-optimization technologies. Qualifications • Bachelor’s degree in Mechanical Engineering or related discipline; PE license preferred., • 5–10 years of professional experience in mechanical design, with a focus on data centers, mission-critical facilities, or large-scale commercial infrastructure., • Deep understanding of cooling and air distribution systems, hydronic systems, and energy-efficient design principles., • Understand, critique, and manage the development of energy models to inform design decisions and support the preparation of project OPEX budgets., • Familiarity with HVAC load modeling and BIM software (e.g., TRACE 3D Plus, Revit MEP)., • Strong technical writing, organization, and communication skills., • Proven ability to manage multiple priorities in a fast-paced environment., • Collaborative mindset and ability to work effectively with cross-functional teams and external partners.

Job DescriptionNo support / Sponsorship for Visa Holders, No C2C. Planview Solution Architect We are seeking a Solutions Architect with expertise in Planview to join our team. As a Solutions Architect, you will play a crucial role in designing and implementing effective solutions using Planview software. Responsibilities: • Collaborate with finance/IT owners to understand their business needs and develop tailored solutions using Planview software., • Develop and present technical proposals, including architecture diagrams, to Business and stakeholders., • Collaborate with cross-functional teams to ensure successful implementation and integration of solutions. Be an active participant in Scrum calls as required. Support the ongoing development of Planview knowledge management and transfer, including the creation, enhancement and retirement of knowledge articles and documentation. Ensure the maximum utilization of the Planview technology platforms to deliver Stakeholder Satisfaction, increase process maturity and cost optimization. Requirements: • At least 8 years' experience in designing and implementing solutions using Planview (Portfolios, Enterprise Architecture and Agile Place) software., • At least 3 full cycle Planview implementations., • Knowledge of agile methodologies and frameworks., • Solid understanding of enterprise architecture principles and best practices., • Experience with other project portfolio management (PPM) tools., • Familiarity with cloud computing platforms, such as AWS or Azure., • Certification in Planview or related technologies., • Excellent problem-solving and analytical skills.