AI Research Engineer – Multimodal Model Development

European Series B startup revolutionizing AI with in-memory computing platform for high-performance inference
Milan, Metropolitan City of Milan, ItalyFlorence, Metropolitan City of Florence, ItalyBologna, Metropolitan City of Bologna, Italy
Machine Learning
Staff Software Engineer
Hybrid
5+ years of experience
AI

Description For AI Research Engineer – Multimodal Model Development

Axelera AI, a European Series B startup, is revolutionizing the AI landscape with their in-memory computing platform. They are seeking an AI Research Engineer specialized in multimodal AI model development. The role focuses on advancing their platform's capabilities in inference for Generative AI, working with state-of-the-art models that integrate multiple data modalities.

The position offers an opportunity to work at the cutting edge of machine learning, in-memory computing, and high-performance AI inference. The ideal candidate will be responsible for designing and optimizing multimodal AI models, collaborating with cross-functional teams, and implementing best practices for model deployment.

The role requires expertise in deep learning frameworks, natural language processing, computer vision, and speech processing. Candidates should have a strong understanding of AI/ML research, particularly in generative models, and experience with model optimization techniques. A PhD or advanced degree in a relevant field is preferred.

Working in Italy (Milan, Florence, or Bologna), you'll join a diverse, driven team that values innovation and continuous learning. As a Series B startup, Axelera AI offers significant growth opportunities, including the chance to shape the product and AI strategy. The company provides competitive compensation, including equity options and relocation support for international talent.

This is an excellent opportunity for those passionate about solving real-world challenges with AI in dynamic, high-performance environments. The company embraces equal opportunity and diversity, creating an inclusive environment for all team members.

Last updated 2 months ago

Responsibilities For AI Research Engineer – Multimodal Model Development

  • Design, develop, and optimize multimodal AI models for real-time inference
  • Collaborate with cross-functional teams for AI model integration
  • Optimize models for memory efficiency and low-latency inference
  • Stay current with multimodal AI research and implement new techniques
  • Implement best practices for model testing and deployment

Requirements For AI Research Engineer – Multimodal Model Development

Python
  • Experience in developing and deploying multimodal models
  • Strong background in deep learning frameworks (TensorFlow, PyTorch, JAX)
  • Proficiency in NLP, computer vision, and speech processing
  • Experience with model optimization techniques
  • Strong understanding of AI/ML research, particularly in generative models
  • PhD or advanced degree in Computer Science, Machine Learning, AI, or related fields preferred
  • Experience in deploying models on edge devices preferred

Benefits For AI Research Engineer – Multimodal Model Development

Relocation Benefits
Equity
  • Competitive salary
  • Equity options
  • Benefits package
  • Relocation support

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