Hybrid Senior Engineer – Multimodal AI Model Development Research

at Axelera AI

• Job title: Senior Engineer – Multimodal AI Model Development Research
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: PyTorch, Tensorflow
• Location requirements: Hybrid, Leuven, Belgium

About the role

• Senior AI Research Engineer developing and optimizing multimodal AI models for generative AI at Axelera AI. Collaborating across teams to enhance AI platform capabilities with cutting-edge technology.

Responsibilities

• Design, develop, and optimize multimodal AI models for real-time, high-efficiency inference across a variety of deployment environments (edge, server-side, and embodied AI).
• Work closely with cross-functional teams, including AI researchers, hardware engineers, and software engineers to integrate AI models into the broader platform.
• Focus on optimizing models for memory efficiency, low-latency inference, and high throughput.
• Stay up-to-date with the latest research in multimodal AI, proposing and implementing new techniques to push the boundaries of what's possible in generative AI.
• Implement best practices for model testing, deployment, and continuous improvement to ensure models scale effectively in production environments.

Requirements

• Proven experience (for all levels) in developing and deploying multimodal models, including text, image, and/or audio data.
• Strong background in deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Proficiency in natural language processing (NLP), computer vision (CV), and speech processing techniques.
• Experience with model optimization techniques (e.g., quantization, pruning, distillation).
• Familiarity with distributed computing, in-memory computing platforms, or high-performance computing.
• A strong understanding of the latest advancements in AI/ML research, particularly in generative models (e.g. transformers and diffusion models).
• Ability to work in a highly collaborative, fast-paced startup environment and communicate complex technical concepts clearly.

Benefits

• Impact: Work on groundbreaking technology that will power the next wave of AI applications, from edge computing to embodied AI systems.
• Culture: Join a diverse, driven team that values innovation, collaboration, and continuous learning.
• Growth: As a Series B startup, you’ll have significant growth opportunities, including the chance to shape the direction of the product and AI strategy.
• Compensation: Competitive salary, equity options, and benefits package.