AI Data Scientist

Location: Catania

OUR STORY
At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.

When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.

Developing technologies takes more than talent : it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.

Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.

YOUR ROLE
STMicroelectronics Malta is seeking a skilled and motivated AI Data Scientist who leads the design, deployment, and continuous improvement of physical assets to augment or replace manual tasks in semiconductor manufacturing environments.

Duties & Responsibilities
The responsibilities include, but are not limited to :

AI Model Identification & Development

Analyze technician / operator workflows to identify repetitive, high-precision, or hazardous tasks suitable for AI / physical automation.

Develop, train, and validate embodied AI models leveraging Vision-Language Models (VLM) and Vision-Language-Action (VLA) frameworks to enable integrated perception, natural language understanding, and task execution capabilities.

Utilize NVIDIA Omniverse or similar simulation platforms for high-fidelity 3D simulation and digital twin environments to train, test, and optimize physical assets AI models in realistic virtual manufacturing settings.

Integrate multimodal data (image, sensor, process logs, SPC data) into AI models for robust decision-making and adaptive control.

Continuously improve models using feedback from simulation and real-world performance.

Physical manufacturing asset System Integration

Collaborate with robotics vendors to adapt physical assets or semiconductor environments (cleanroom compliance, ESD safety, precision control).

Integrate AI models with physical asset control systems and factory MES / SCADA systems.

Configure robots / related physical asset for complex task execution such as wafer cassette transfer, equipment start-up / shutdown, parameter verification, inline inspection, and reporting.

Simulation and Virtual Training Environment Development

Design and maintain simulation scenarios within Omniverse / similar platform to replicate manufacturing processes and environments for embodied AI training.

Employ VLM and VLA techniques to simulate realistic robot-environment interactions, enabling the AI to learn visual perception coupled with language understanding and action planning.

Validate AI behavior in virtual environments before physical deployment to reduce risk and improve efficiency.

Testing, Validation, and Qualification

Define test plans to validate robot / physical asset accuracy, repeatability, and safety before deployment.

Establish qualification metrics : task success rate, downtime reduction, human replacement efficiency.

Work with EHS to ensure compliance with safety and cleanroom standards.

Deployment and Continuous Improvement

Lead pilot projects for physical manufacturing asset-assisted lines and scale up successful deployments.

Analyze performance data, identify model drift or mechanical degradation, and retrain models as needed.

Conduct root-cause analysis for failed or abnormal tasks.

Provide ongoing model tuning and system maintenance.

Cross-Functional Collaboration

Work closely with process engineers, maintenance teams, IT, and data scientists.

Serve as the liaison between physical manufacturing assets providers and internal automation engineering teams.

Train human technicians to supervise and interact with physical manufacturing assets systems safely.

Skills & Qualifications
The ideal candidate shall :

Bachelor’s or Master’s degree in Robotics, AI / ML, Mechatronics, Electrical Engineering,…