Senior ML Engineer
Pubblicato il 10-08-2026 - Jobgether in Italia
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior ML Engineer (AI Research, Physical AI) based in Italy.
This role offers the opportunity to contribute to cutting-edge AI research focused on creating intelligent systems capable of interacting with the physical world.
You will work on advanced machine learning challenges involving robotics, multimodal models, reinforcement learning, and embodied intelligence.
The position combines research innovation with practical engineering, transforming experimental ideas into reliable AI capabilities.
You will collaborate with world-class researchers and engineers to develop scalable solutions across simulation, data, and real-world robotic systems.
The role requires deep technical expertise, curiosity, and the ability to move quickly from hypotheses to impactful prototypes.
This is an opportunity for an experienced ML professional to shape the future of AI-driven physical systems in an international environment.
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Accountabilities:
The role focuses on researching, designing, and implementing advanced machine learning solutions for physical AI applications. The professional will develop models, algorithms, and infrastructure that enable intelligent agents to perceive, reason, and act in real-world environments while collaborating with multidisciplinary research and engineering teams.
Design, implement, train, and evaluate large-scale machine learning models and algorithms for robotic agents.
Develop vision-language-action architectures that connect multimodal perception, language understanding, and physical control.
Research and apply reinforcement learning, imitation learning, and learning-from-demonstration techniques for complex robotic tasks.
Build scalable approaches for incorporating human demonstrations, simulation data, video, and autonomous robot experiences into AI models.
Create datasets, evaluation methodologies, data-quality pip