AI Jobs in Gaithersburg, MD
Capital One
McLean, VA
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. 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.
Capital One
McLean, VA
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. 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.
Capital One
McLean, VA
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. 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.
Capital One
McLean, VA
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. 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.
Herndon, VA
You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proof-of-concepts, and troubleshoot any technical questions and roadblocks related to Google’s first-party Generative AI solutions for customer experience applications. Share AI expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
DataRobot
Washington, DC
Knowledge of the AI/ML landscape for on-premises and cloud infrastructure, with the ability to shape strategy and engage with stakeholders.8 years experience in product management with technical productsBachelor’s degreeMinimum 8 years experience as a technical product manager or managing delivery of technical capabilitiesNice to have:An active secret clearance (or higher)Masters’ degree in Engineering or Data ScienceMBAMinimum 4 years of experience working with cloud services for Data and MLCompensation StatementThe U.S. annual compensation range for this full-time position is between $184,500 and $289,000 USD/year. The Principal Product Manager, AI Platform will work closely with stakeholders across all parts of the business including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams to execute growth projects and new products and features.
Herndon, VA
Minimum qualifications:Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.5 years of experience with cloud infrastructure (hardware shapes, sizes, auto-scaling, auto-provisioning, etc.), working with infrastructure as a service, platform as a service, or software as a service. About the job As an Enterprise AI Infrastructure Field Solution Architect, you will support Google Cloud sales teams to incubate, pilot, and deploy Google Cloud’s industry leading AI/ML accelerators (TPU/GPU) at AI innovators, large enterprises, and early stage AI startups.
Maxar Technologies
$131000 - $219000 undefined
McLean, VA
You'll join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, tensorflow, pytorch and related software packages) and enhance an evolving analytic tradecraft. Project: As part of a research and development shop in our customer’s space, we’re identifying, obtaining, and analyzing various data sets using object detection and large language models to provide quantitative analytic techniques to model events, trends, and behavior in support of national security objectives.
NasTech Global, Inc.
Falls Church, VA
Maintains the existing code base of in-production applications, performing bug fixes, updates of code and component libraries to meet security and performance needs as required, and capability enhancements as planned in the sprint schedule. Major Duties/Tasks: • Designs and develops software requirements for multiple Artificial Intelligence based support capabilities including the software architectures, APIs, frameworks, and libraries.
Capital One
McLean, VA
Coordinate and execute proactive Information Security consulting to the business and technology teams covering Infrastructure Security, Resiliency, Data Security, Network Architecture and Design, and User Access Management. 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.
Herndon, VA
Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages, and with data structures/algorithms.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience with Natural Language Processing (NLP) concepts, algorithms, and experience in designing NLP solutions.3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).Preferred qualifications:Master's degree or PhD in Computer Science or related technical field.1 year of experience in a technical leadership role. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.