Senior AI Research Engineer, Visual Perception

Your Contributions

• Exploring, developing, and implementing cutting-edge technological advancements in multi modal (vision, audio, thermal, gas,...) machine learning.
• Identifying emerging technologies, conducting in-depth evaluations, and translating these findings into innovative products.
• Developing prototypes and conducting pilot projects to test new technologies in controlled environments.
• Driving collaborations with tech startups, research institutions, and industry leaders to leverage external expertise and accelerate innovation.
• Connecting with the engineering teams for the adoption and integration of new technologies into existing systems and processes, ensuring a seamless transition.

Your Profile

• A PhD in Machine Learning (or a related technical field) OR 4+ years of relevant industrial hands-on experience.
• Excellent at designing and deploying state-of-the-art computer vision and AI perception models including multi-modal approaches.
• Excellent expertise in modern deep learning techniques, including transformer-based architectures, large Vision-language models (VLMs), Video generative models and diffusion algorithms or Vision Language Action models (VLAs) with hands-on experience training and fine-tuning such systems for scene understanding applications.
• Strong track record of implementing and evaluating advanced AI algorithms for perception and scene understanding in real-world scenarios.
• Strong practical experience across the MLOps pipeline—from data collection and curation to training, fine-tuning, and evaluation.
• Strong in fast prototyping, concept validation, and rapid iteration—you build to learn and use experimentation as a core development tool.
• Strong programming skills in Python, with the ability to write clean, and efficient code.
• Experienced in leading R&D initiatives or small cross-functional teams, with a focus on transferring promising ideas into impactful products.
• Strong in self-coordination and project ownership, able to structure your work independently, align with strategic goals, and deliver meaningful outcomes.
• Excellent communication skills, with the ability to effectively share knowledge and insights.

Bonus Points

• Experience with large scale machine learning compute systems.
• Demonstrated coding, debugging, and engineering skills in writing modern C++.  
• Good familiarity with GPU programming, performance benchmarking and optimization, to deploy on edge or cloud systems