Safran

Scientist

• Develop, train and test Deep Learning or signal-processing models that will be delivered to the client
• Participate in upstream scoping to translate the client’s operational needs into technical objectives, proposing the solutions best suited to the challenges posed by the data or specific contexts
• Contribute to low-TRL projects on new data types to address emerging problems
• Ensure the maintainability and scalability of the various components of our MLOps tools that improve team productivity, including conducting periodic technology watch and proposing evolutions of the team’s technical vision
• Propose creative and innovative approaches to improve the performance of delivered detectors and the efficiency of our development work
• Mentor more junior team members by sharing your technical expertise and disseminating best practices
• Occasionally participate with the sales teams in the upstream scoping/estimation of a technical project
• Regularly travel to client sites, on average two to four days per month, to deploy our tools on target data

Senior Deep Learning Scientist – Acoustic

Technical Project Manager

• Serve as the primary technical point of contact for clients during the project execution phase
• Work closely with Product, Engineering, Deployment and Support teams
• Drive the fulfillment of commitments and ensure the quality of deliverables
• Contribute to the implementation of high-value solutions
• Take end-to-end responsibility for delivery on time and within budget
• Provide progress updates and manage risks
• Promote and apply company methodologies

• Develop and train deep learning models, working across all stages of the algorithm development lifecycle — from writing annotation guidelines to packaging and deploying detectors, including training, optimization, and designing evaluation protocols.
• Contribute to defining the technical vision and experimental plans to improve detectors.
• Design and develop MLOps tools to increase the team’s productivity across the different stages of algorithm production. In particular, you will help address the challenges of working in a classified/air-gapped environment.
• Monitor the state of the art on topics relevant to the project.
• You may be asked to lead a squad of 3–4 deep learning scientists, facilitating rituals (weekly meeting, sprint planning), assigning tasks within the squad, and participating in the preparation of upcoming development cycles with the Technical Project Manager.

Deep Learning Scientist

Systems Engineer

• We are seeking a skilled Model-Based Systems Engineering (MBSE) Engineer to support the development and validation of complex systems through digital modeling and simulation. This role involves working closely with cross-functional teams to integrate model-based methodologies into the product development lifecycle, ensuring efficient design, testing, and optimization.
• **Key Responsibilities:**
• - Develop and validate system models using tools like MATLAB/Simulink.
• - Perform simulations to analyze system performance and identify design improvements.
• - Support model-in-the-loop (MIL), software-in-the-loop (SIL), and hardware-in-the-loop (HIL) testing.
• - Collaborate with engineering teams to integrate models into design and development workflows.
• - Document modeling processes, simulation results, and technical recommendations.
• - Contribute to the automation of verification and validation (V&V) processes.
• - Participate in external funding opportunities and research initiatives.

Model-Based Systems Engineering Engineer

DevOps Engineer

• Build and improve the technical foundation for managing cloud environments and the Kubernetes orchestrator.
• Manage and expand monitoring coverage.
• Maintain and manage software forge tools.
• Provide support for the platform's use to embedded SREs within development teams.
• Provide industrialized and secure modules to provision cloud infrastructure initially, and later on-premise and air-gapped infrastructure.
• Assist the security team in implementing security best practices.
• Ensure operational maintenance and continuity of the platform and its components.

Senior Deep Learning Scientist – Acoustic

Technical Project Manager

Deep Learning Scientist

Model-Based Systems Engineering Engineer

Site Reliability Engineer – Cloud & Infra