Applied AI Scientist
Core
Research and optimize foundational multimodal machine learning models (VLMs, diffusion, transformers) for scalability and product integration.
Role type
Senior Applied AI Scientist (Multimodal ML & Systems)
Builds
Production multimodal models (vision-language, generative, action-based) and large-scale ML compute systems
Domain
Artificial Intelligence, Computer Vision, Large Language Models, Deep Learning
Deliverable
production ML models
Required skills
Python, C++, PyTorch, TensorFlow, Jax, model pruning, knowledge distillation, finetuning, large-scale ML system design, research publication track record
Preferred skills
experience with pre/post-training of large vision-language models, video generative models, diffusion algorithms, action-based transformers (VLAs)
Technologies
PyTorch, TensorFlow, Jax, CPUs, GPUs, NPUs
Responsibilities
Research novel machine learning algorithms and models; Work on pre and/or post training of foundational multimodal models; Build data and learning solutions for scalability, efficiency, and performance; Curate training and evaluation datasets/benchmark; Optimize models for CPUs, GPUs and NPUs and integrate into products
Seniority
Senior, hands-on IC with research impact
