Distinguished AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: - Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One - Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more - Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems - Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One The Ideal Candidate: - You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good - Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production - You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven - You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss - You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies - At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: - 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) - Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems - Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level - Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang - Master's degree in Computer Science, Computer Engineering, or relevant technical field - Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost - Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production - Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Distinguished AI Engineer Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : - Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform - Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics - Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows - Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models - Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions - Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities - Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: - Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies - At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : - Master's Degree in Computer Science or a Master's Degree in Software Engineering - Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) - Experience building platforms that support LLM training, fine-tuning, or high-throughput inference - Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies - History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Role Description The UNICEF Data & Analytics (D&A) Education team is developing a data portal that brings together information from different regional and global learning assessments in one place. The minimum viable product (MVP) for the portal covers: - Regional and global assessments at the foundational learning level for reading/numeracy outcomes at Grade 4 and below. - Programs such as TIMSS, PIRLS, EGRA/EGMA, the MICS Foundational Learning Skills (FLS) module, LLECE, AMPL, and ICAN/ICAR. Bringing these assessments together is not straightforward. Each programme documents its metadata and results differently across: - International reports - Technical annexes - Almanac spreadsheets - Microdata with no common structure, naming, or coding. For the portal to hold them side by side, this heterogeneous material must be transformed into harmonized tables that UNICEF's International Data Warehouse (IDW) can ingest. The purpose of this assignment is to establish how that transformation can be done reproducibly and at scale, and to build the underlying data model, extraction pipeline, and reference datasets that the MVP portal draws on. Qualifications - Master’s degree in Computer Science, Information Management, Data Science, or Public Policy. Requirements - At least 5 years of experience working with data structures, analysis, building pipelines. - Experience with Azure DevOps, Docker, Github, R, and Python. - Experience working with household survey data or large-scale national/international assessment datasets (e.g., MICS, DHS). Desirables - Prior experience working with UNICEF or other UNICEF/UN data collection systems. For every Child, you demonstrate... UNICEF’s Core Values of Care, Respect, Integrity, Trust and Accountability and Sustainability (CRITAS) underpin everything we do and how we do it. Get acquainted with Our Values Charter: - UNICEF promotes and advocates for the protection of the rights of every child, everywhere, in everything it does. - UNICEF is committed to include everyone, irrespective of their race/ethnicity, disability, gender identity, sexual orientation, religion, nationality, socio-economic background, minority, or any other status. - UNICEF encourages applications from all qualified candidates, regardless of gender, nationality, religious or ethnic backgrounds, and from people with disabilities, including neurodivergence. Application Process Qualified candidates are invited to submit the following documents via the online recruitment portal, TMS (Talent Management System): - An up-to-date TMS profile and curriculum vitae (CV). - Cover letter. - A separate financial proposal (only acceptable in the format of the linked template). - A detailed technical proposal (Add if applicable). UNICEF does not charge a processing fee at any stage of its recruitment, selection, and hiring processes. All UNICEF positions are advertised, and only shortlisted candidates will be contacted and advance to the next stage of the selection process.

Role Description Estamos em busca de um Arquiteto de Software para liderar a evolução arquitetural da nossa plataforma, implementando soluções que garantam alta disponibilidade, escalabilidade e confiabilidade. Você terá autonomia para propor e implementar mudanças significativas, trabalhando com um time engajado e tecnologias modernas. Essa é uma oportunidade única para quem deseja transformar um produto de tecnologia e alinhar soluções técnicas com o planejamento estratégico. - Liderar a modernização da nossa arquitetura, com foco em escalabilidade e resiliência - Mentoriar o time de desenvolvimento, compartilhando conhecimento e boas práticas - Definir padrões técnicos e garantir sua adoção através do time - Colaborar diretamente com Product e Tech Leads na definição de soluções - Participar ativamente das decisões estratégicas de tecnologia Qualifications - Sólida experiência com Python e/ou Node.js aplicados a sistemas de back-end de alta performance e APIs resilientes - Conhecimento profundo em arquitetura de software, padrões de projeto e princípios SOLID, DDD e Clean Architecture, aplicados em sistemas complexos - Experiência prática comprovada no design e implementação de soluções de IA Generativa, utilizando LLMs (via APIs como OpenAI, Bedrock, ou modelos open-source) - Domínio de arquiteturas RAG (Retrieval-Augmented Generation), incluindo estratégias de indexação e recuperação de documentos - Experiência obrigatória com frameworks de orquestração de IA, especialmente LangChain - Vivência prática com Bancos de Dados Vetoriais (ex: OpenSearch, Weaviate, ChromaDB, etc.) e bancos NoSQL (ex: MongoDB) - Vivência na transição de arquiteturas monolíticas para microsserviços e sistemas distribuídos - Conhecimento sólido em práticas de CI/CD, DevOps, Docker e serviços de Cloud (especialmente AWS) Requirements - Conhecimento profundo em arquiteturas orientadas a eventos (Event-Driven Architecture) e ferramentas de mensageria (ex: Kafka, RabbitMQ ou Amazon SQS) - Experiência prática na construção e orquestração de Agentes de IA (AI Agents) - Familiaridade com ferramentas de observability (logs, métricas e tracing) - Experiência com metodologias ágeis em times de alta performance Benefits - Vale alimentação e/ou refeição (R$837) - Inclusive nas férias - Vale transporte - Seguro de vida - Auxílio home office (R$100) - Auxílio creche para crianças de até 6 anos - Headhunter (valor por indicação de colaborador) - Indicação de clientes (valor por indicação de clientes) - Plano de saúde integral, sem coparticipação (com terapia online gratuita) - Convênio odontológico - Caju+ (assistência psicológica, assistência jurídica, consultoria financeira) - Wellhub (plataforma de saúde e bem estar) - DOT Break (Um dia de folga extra no ano, para usar como quiser) - Convênio Farmácia - Licença maternidade estendida de 6 meses - Licença paternidade estendida de 20 dias - Onhappy - Ofertas exclusivas de passagens e hospedagens - FeelingDOT sobre temas diversos (workshops sobre autoconhecimento, diversidade, inclusão e equilíbrio) - Mimos e gifts em datas comemorativas - Verba de Sophia de R$ 2.000,00 (auxílio educação) - Horas de Sophia (40 horas/ano em capacitação da sua escolha) - Verba Survival (auxílio educação no negócio) - DOTAcademy com cursos gratuitos - Mobilidade interna - DOTHUB (desenvolvimento de lideranças) - Cultura de feedback - DOTKnows (peer learning) - Cousera - Ilimitado - Home office: trabalhe de qualquer lugar do Brasil - Horário flexível - Nosso regime é de 40h semanais - Aprendizado contínuo - Pessoas que é bom de estar perto - Autonomia com responsabilidade - Local para refeições (presencial) - Lanches, snacks, frutas, chás e café passado (presencial) - Área de convivência (presencial) - Momentos de integração e festas