Part of MITRE Labs’ Infrastructure and Networking Innovation Center, we research, develop, and employ advanced technologies in the areas of network modeling and simulation, dynamic network analysis, machine learning, cellular networking, software defined networking, programmable data plane, operational technology systems, future network science, and more.

To accelerate our clients' transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design - with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.

Knowledge of machine learning, artificial intelligence, or data analytics. MITRE's Software Engineering Department in the Software Engineering Innovation center focuses on rapid software prototyping and proof of concepts across a wide range of sectors, including defense, homeland security, health, space, and law enforcement.

4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.

Center 1 (19052), United States of America, McLean, VirginiaLead Machine Learning Engineer (Remote-Eligible)As a Capital One Machine Learning Engineer (MLE), 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.

Elder Research is a growing consulting firm specializing in data (analytics, data science, AI and machine learning), and related strategy and training. This is a unique opportunity to work on an exciting project that is very rewarding and join a growing center of excellence in machine learning and artificial intelligence within the Intelligence Community.

2+ years of professional experience as a Machine Learning Engineer, Data Scientist or in a related role for candidates with a PhD, or 5+ years of experience for candidates with a Master’s degree.

Master’s Degree plus a minimum of 15 years of experience in an Operations, Engineering, Scientific, Data Science, Software Programming, Artificial Intelligence, Machine Learning, Analysis, Policy or Planning field, or equivalent experience/responsibility.

We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency-s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.

Collaborate with the Enterprise Data and Machine Learning SRE staff to promote a DevOps culture among EDML app teams in accordance with You Build You Own (YBYO) principles. Center 1 (19052), United States of America, McLean, VirginiaSenior Software Engineer, DevOps (Remote-Eligible)Do you love being part of a solution, identifying and developing preventative solutions.

Our portfolio includes the Assistant Secretary of Air Force for Space Acquisition & Integration (SAF/SQ), Joint Warfare Analysis Center (JWAC), Space Security and Defense Program (SSDP), National Space Defense Center (NSDC), Space Warfighting Analysis Center (SWAC), Strategic Capabilities Office (SCO), US Space Command (USSPACECOM) and US Space Force (USSF.

As ABSC’s next TS/SCI-cleared Data Center Manager Engineer, you will play a critical role in the design, engineering, development, deployment, and use of software for the 10-year DOMEX Technology Platform (DTP) contract, where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Department of Defense (DoD) and Intelligence Community (IC) enterprise.

The Machine Learning Experience (MLX) team supports an internally hosted Model Training ecosystem running critical infrastructure for machine learning and data analysis across Capital One. You will get an opportunity to collaborate on the 1000's of models being trained on the platform by 4000+ users and dive deep into the unique engineering challenges we have around compute, data access, security and scale.

Contribute to interdisciplinary solutions that combine data engineering and Artificial Intelligence/Machine Learning to integrate predictive models. A successful candidate should be able to demonstrate technical proficiency with these mentioned Machine Learning tools and have a proven track record engineering software solutions to process and analyze unstructured data sets.

The Leidos Innovation Center is seeking a Software Engineer Intern in Arlington, VA for Fall 2024 Internship. This work may also encompass a number of other areas including modeling and simulation, and machine/deep learning.