Senior Engineer – Multimodal AI Model Development Research

We are seeking an AI Research Engineer with expertise in developing and optimizing multimodal AI models to join our team and help drive the future of AI. This is an exciting opportunity to work at the intersection of advanced machine learning, in-memory computing, and high-performance AI inference on cutting-edge hardware architectures.

Requirements

• Proven experience 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.
• Knowledge: A strong understanding of the latest advancements in AI/ML research, particularly in generative models (e.g. transformers and diffusion models).
• Collaboration & Communication: Ability to work in a highly collaborative, fast-paced startup environment and communicate complex technical concepts clearly.

Benefits

• Competitive salary
• Equity options
• Benefits package