Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One's consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles. Hyper Personalization org is building the intelligence and infrastructure that will enable Capital One to deliver truly individualized, real-time customer experiences at scale - turning every channel into a context-aware decisioning surface, from home feeds to marketing and servicing messages. The org's mission is to move Capital One to deliver always-on, cohort-of-one personalization, powered by resilient data foundations, production-grade ML and GenAI systems, and low-latency application platforms that make it easy for teams across the company to experiment, innovate, and serve the right experience to every customer at the right moment. What you'll do in the role: - Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services. - Partner cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. - Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation, targeting rules, and real-time decisioning while integrating seamlessly with ML-driven recommendations. - Design, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. - Architect low-latency, event-driven systems for enabling real-time dynamic personalization and decisioning based on streaming data, user behavior, and contextual signals. - Drive the evolution of MLOps practices by building automated metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring & observability. - Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. - Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation. The Ideal Candidate: - You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. - Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. - You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. - You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. - You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: - Bachelor's degree - At least 10 years of experience designing and building data-intensive solutions using distributed computing - At least 7 years of experience programming in C, C++, Python, or Scala - At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: - 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure); Master's or PhD in Computer Science or a relevant technical field. - 5+ years of proven expertise in designing, implementing and scaling personalization platform and recommendation systems serving one or more areas of Feed Personalization/Ads Ranking/Targeted Marketing Messaging. - 5+ years of strong proficiency in Python, Java, C++, or Golang; hands-on experience with ML frameworks (PyTorch, TensorFlow) and orchestration tools (Databricks, Airflow, Kubeflow). - 5+ years of experience developing and applying state-of-the-art techniques for optimizing training and inference systems to improve hardware utilization, latency, throughput, and cost. - 5+ years of deep expertise in cloud-native engineering, containerization (Docker, Kubernetes), and automated CI/CD deployment. - 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 - Proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company. 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 Machine Learning Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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).

Duration: Six months Format: Full time (40 hrs/week), paid In the last year at Loka, our teams launched almost 200 GenAI projects for companies of all kinds, including the world’s Number 1 GenAI reading tutor, a startup that transforms homes into batteries and a leading cancer-fighting laboratory. And we did it all while enjoying every other Friday off 😎 As a Data - Machine Learning Intern, you'll gain professional experience supporting Loka’s certified specialists, technical experts and PhDs while elevating your skillset, building a portfolio and launching projects you’re proud of. The Role - Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data. - Collaborate with the team to implement and optimize ETL processes. - Integrate data from various sources into warehouses, data lakes and lakehouses. - Support data management tasks, including data cleaning, validation and transformation. - Understand business objectives and develop models that help achieve them, plus metrics to track their progress. - Implement ML systems using classical ML, DL and Foundation Models following best practices. - Participate in client communications by helping gather requirements and communicate deliverables. - Explore and visualize data with a careful eye for issues that require data cleaning as well as differences in data distribution that may affect performance after deployment. - Identify and analyze model errors. Required Hard Skills - Last year of a bachelor’s degree in Computer Science or related - Proficient in English - Basic knowledge of Python, ML, and Data libraries - Basic knowledge of Databases - Understanding of statistical, ML and deep learning algorithms - Experience visualizing and manipulating big datasets - Problem solving - Bonus: AWS knowledge, (Py)Spark, Airflow, Data Lakes and Data Warehouses Required Soft Skills - Curiosity: You’re ambitious to learn and grow in different industries utilizing a modern tech stack. - Autonomy and positivity: We’re a fully remote, globally distributed team. - Teamwork: Enjoy a collaborative approach. - Adaptability: Operate with a startup mindset and move at a startup pace. - Dependable: You can be trusted to deliver high-quality work. Benefits - Every other Friday off - Health Bonus - Remote and flexible - Paid sick days and local holidays Please submit your CV in English.

• Design, implement, and experiment with machine learning and deep learning models for product use cases • Work on end‑to‑end ML workflows, including: Data preprocessing and feature engineering, Model training, evaluation, and optimization, Experiment tracking and result analysis • Contribute to Generative AI and agentic systems, including: LLM‑based workflows, AI agents, orchestration, and prompt engineering • Develop prototypes and proof‑of‑concepts that can evolve into production features • Write clean, maintainable, and well‑documented Python code • Collaborate with cross‑functional teams (engineering, product, platform) • Present findings, demos, and outcomes to the broader team

Job Title Learning Services Coordinator Job Description The Learning Services Coordinator is responsible for coordinating complex programs, ensuring all logistics are meticulously handled and aligned with customer needs and organizational goals. The role acts as the main contact for high-level inquiries, providing expert guidance and resolving complex issues to maintain high customer satisfaction. The role oversees the entire participant journey, from registration to post-course evaluation, ensuring a seamless experience. The role analyzes and presents training data, contributes to course material development, and manages logistics, including multi-site coordination and technical setup. The role collaborates with cross-functional teams and external partners to enhance the Learning services catalog and executes sophisticated communication strategies to align with organizational priorities. Job Responsibilities: • Coordinates and delivers complex Learning services programs, taking full responsibility for all logistical aspects and ensuring seamless execution aligned with both customer requirements and organizational goals. • Serves as the primary point of contact for high-level inquiries and issues related to Learning services, leveraging deep expertise to provide strategic guidance, resolve complex challenges, and maintain high standards of customer satisfaction. • Exercises autonomy within established procedures, utilizes specialized skills to perform in-depth analysis of assigned tasks, identifying key issues and patterns and resolves moderately complex problems to drive results. • Serves as an informal resource for colleagues with less experience, working on issues where analysis of situation or data requires review of relevant factors and utilizes experience and in-depth knowledge to complete a wide range of tasks in resourceful and effective ways. • Keeps an oversight on the entire participant journey, from initial registration through post-course evaluation, ensuring a high-quality experience by managing communications, addressing special requests, and ensuring all logistical needs are met with precision. • Performs the maintenance, analysis, and presentation of comprehensive training data, generating detailed reports that inform strategic decisions and contribute to continuous improvement in program effectiveness and participant outcomes. • Contributes to the design, development, and continuous improvement of course materials, ensuring they are innovative, meet high educational standards, and are delivered effectively across multiple platforms and formats. • Coordinates all aspects of logistics for complex training programs, including multi-site coordination, advanced technical setup, vendor management, and on-site troubleshooting, ensuring every session is delivered to the highest standard. • Collaborates closely with cross-functional teams, including senior management, project managers, and external partners, to integrate Learning services into broader business initiatives, optimizing resource allocation and ensuring alignment with strategic goals. • Provides input to enhance the Learning services course catalog and departmental tools, leading initiatives to incorporate new technologies and methodologies that improve efficiency and participant engagement. • Executes sophisticated communication strategies, including detailed program plans, executive summaries, and stakeholder updates, ensuring all communications are clear, comprehensive, and aligned with organizational priorities. Minimum 4 years of experience in Learning Services, Training Delivery or equivalent with Vocational Education OR no prior experience with Bachelor's Degree. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. Indicate if this role is an office/field/onsite role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. • Learn more about our business. • Discover our rich and exciting history. • Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.