Contribuer à la compréhension de l'apprentissage contextuel dans les modèles de fondation en menant des recherches, en développant des méthodes d'explicabilité et en rédigeant un article scientifique.
Compensation
L'indemnité mensuelle brute de stage proposée est comprise entre 1300 et 1600 euros selon votre niveau d'études en cours.
Responsibilities
Faire une revue de littérature sur l'ICL
Concevoir des tâches synthétiques contrôlées pour isoler les facteurs qui influencent l'ICL
Analyser les mécanismes d'attention et les représentations internes
Appliquer et comparer des méthodes d'attribution existantes et des méthodes développées en interne
Étudier l'effet de la sélection, de l'ordre et du format des exemples, développer des métriques de fidélité et de robustesse des explications, tester des modèles variés
Requirements
Bac+5 (école d'ingénieurs ou Master 2) en intelligence artificielle, data science ou mathématiques appliquées
KBR is seeking a Senior DevOps Engineer to join our team in El Segundo, CA. The role involves leading release management, designing security and compliance controls, and deploying DevOps practices across multiple projects in a space communications environment.
Compensation
For California only, the salary range for this position is approximately $126,900 - $158,600. The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.
Responsibilities
Lead release management and deployment of microservices in a Kubernetes environment (AWS EKS, Azure AKS).
Design and implement vulnerability management, security monitoring, compliance controls, and incident response automation.
Work with developers to implement secure coding practices and application security testing.
Deploy DevOps practices for automating the software engineering practices across multiple projects.
Ensure solid foundational processes are in place.
Requirements
Bachelor's degree in engineering or computer science
Nice to have: Active Secret clearance
Nice to have: Master’s degree in engineering or computer science
Nice to have: CI/CD on classified software development networks
Make a difference for national security by joining a team of dedicated professionals in San Diego, CA or Colorado Springs, CO who assist the US Space Force in developing and deploying the next generation of satellites and ground systems for Mobile User Objective System (MUOS) contract.
Locations (2)
San Diego, California, United States
Colorado Springs, Colorado, United States
Compensation
Basic Compensation: $90 to $120k
Responsibilities
Executing MBSE model development to support architecture development and digital engineering initiatives in support of program milestones
Applying MBSE tools and techniques to capture system functions, services, interfaces, requirements, and concept of operations to support system design
Supporting requirements analysis and functional allocation to hardware, software, operator and other segments and components of the system(s) within the models
Production of model views, including DoDAF products, to support program milestones and documentation
Lead and mentor a team of reverse engineers, design scalable solutions, and conduct full‑scope reverse engineering across hardware, firmware, software, and network protocols.
Design, develop, and enhance business-critical applications supporting our Sales organization, combining full-stack development, solution design, and modern AI capabilities.
Compensation
for this role the yearly starting salary is 40.040 EUR Gross
Responsibilities
Develop and maintain modern web applications across frontend and backend technologies.
Assess existing applications and recommend architecture, technology, and user experience improvements.
Partner with Sales, Finance, and IT stakeholders to understand business needs and translate them into technical solutions.
Design and develop APIs, integrations, and data models that support scalable business processes.
Explore and implement AI-powered capabilities such as workflow automation, intelligent assistants, and business insights.
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
Data Engineer to support a government customer in Reston, Virginia, focusing on data automation, optimization, and analysis for national security and space missions.
Locations (2)
Reston, Virginia, United States
Chantilly, Virginia, United States
Compensation
$100,000 to $124,400
Responsibilities
Develop and implement methods of automation and optimization of data and products
Demonstrate understanding of statistical analysis such as regression, anomaly detection and clustering
Communicate data science activities and technical findings to technical and non-technical customers
Combine diverse data sources including Open Source, PAI, CAI, and intelligence records
Elicit and define system requirements, track progress, evaluate test results
Requirements
Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics
Provide systems engineering and analytical support for national security space decisions, integrating intelligence with engineering analysis, modeling, and simulation.
Locations (2)
Chantilly, Virginia, United States
Reston, Virginia, United States
Compensation
$140,200 to $167,000
Responsibilities
Support threat‑informed mission engineering activities, including end‑to‑end mission thread analysis, resiliency assessments, and deployment analysis.
Develop and execute modeling and simulation (M&S) cases using tools such as STK, AFSIM, or custom Python/MATLAB models to characterize system performance, coverage, and timelines.
Translate intelligence on foreign space and counterspace systems into technical requirements, measures of performance/effectiveness (MOP/MOE), and risk considerations for architectures and programs.
Coordinate with stakeholders across customer mission centers, Service components, USSF/SSC, the IC, and Combatant Commands to ensure analytic consistency and support decision processes.
Contribute to test and evaluation planning (developmental and operational), including modeling for test design, data sufficiency, and evaluation criteria.