CAREERS
In constant search of new talents
In constant search of new talents
Ingénieur de recherche appliquée – Fiabilité de l'IA
Permanent contract - Full time
Paris (or hybrid remote)
Your role
Your role
Your mission: transform research prototypes into robust, measurable, and deployable solutions. As an Applied Research Engineer, you are at the interface of:
• Algorithmic research (uncertainty, calibration, robustness)
• Software engineering
• Real customer use cases
Your mission: transform research prototypes into robust, measurable, and deployable solutions. As an Applied Research Engineer, you are at the interface of:
• Algorithmic research (uncertainty, calibration, robustness)
• Software engineering
• Real customer use cases
Your missions
Your missions
Applied Research & Experimentation
Implement and train vision/multimodal models on client data
Implement:
Uncertainty estimation
Calibration
OOD detection
Robustness & drift analysis
Design experimental protocols in operational conditions
Benchmark different approaches and analyze their industrial limitations
Applied Research & Experimentation
Implement and train vision/multimodal models on client data
Implement:
Uncertainty estimation
Calibration
OOD detection
Robustness & drift analysis
Design experimental protocols in operational conditions
Benchmark different approaches and analyze their industrial limitations
Transition from research to product
Industrialize bricks from research (internal or academic)
Collaborate with:
Research Engineer
Lead Engineer
MLOps Team
Product Team
Structure the interfaces between models, metrics, and TrustalAI SDK
Stabilize the code (tests, performance, reproducibility)
Transition from research to product
Industrialize bricks from research (internal or academic)
Collaborate with:
Research Engineer
Lead Engineer
MLOps Team
Product Team
Structure the interfaces between models, metrics, and TrustalAI SDK
Stabilize the code (tests, performance, reproducibility)
MLOps & industrialization
Set up training and evaluation pipelines
Manage client datasets (versioning, traceability)
Participate in deployments (POC → production)
Contribute to post-deployment monitoring
Ensure robustness and reproducibility of results
MLOps & industrialization
Set up training and evaluation pipelines
Manage client datasets (versioning, traceability)
Participate in deployments (POC → production)
Contribute to post-deployment monitoring
Ensure robustness and reproducibility of results
Structuring Projects
Contribute to client projects and national/European projects
Produce technical deliverables (reports, POC, demonstrators)
Be a driving force for proposals on the evolution of applied research components
Structuring Projects
Contribute to client projects and national/European projects
Produce technical deliverables (reports, POC, demonstrators)
Be a driving force for proposals on the evolution of applied research components
Desired profile
Desired profile
Engineer training or PhD in AI / ML / Vision / Data Science
Strong mastery of applied machine learning
Experience in:
Computer vision or multimodal models
Rigorous experimentation
Industrial or production environments
Good understanding of reliability, uncertainty, or robustness issues (strong plus)
Ability to work in a startup environment with autonomy and responsibility
Engineer training or PhD in AI / ML / Vision / Data Science
Strong mastery of applied machine learning
Experience in:
Computer vision or multimodal models
Rigorous experimentation
Industrial or production environments
Good understanding of reliability, uncertainty, or robustness issues (strong plus)
Ability to work in a startup environment with autonomy and responsibility
Why join us?
Why join us?
Build a unique technology in an emerging market: AI reliability
Work on concrete use cases (industry, autonomous systems)
Be at the heart of the transformation from research to product
Join a fast-growing deep tech startup
Have a real impact on the security of AI systems
