Multimodal
Core
Design, deploy, and optimize large-scale multimodal and conversational AI models, including foundation models, distributed architectures, and data pipelines.
Role type
Senior Multimodal AI Engineer / ML Infrastructure Lead
Builds
Production multimodal models, conversational AI systems, and scalable data infrastructure for foundation models
Domain
Artificial Intelligence, Large Language Models, Multimodal Systems, Cloud/HPC
Deliverable
production ML models
Required skills
Large-scale distributed systems design, multimodal model development, data engineering for foundation models, LLM interaction and deployment, ML frameworks (PyTorch, TensorFlow), cloud/HPC environments, Python, C/C++/Java/JavaScript/C#, data curation and annotation, bias detection, Responsible AI principles
Preferred skills
Algorithm design, model architecture innovation, rigorous ablation studies, training/deployment efficiency optimization, cross-functional collaboration
Technologies
PyTorch, TensorFlow, Azure, Pandas, NumPy
Responsibilities
Design and deploy distributed architectures for multimodal or conversational models; build multimodal dataset design, curation, and annotation pipelines; integrate conversational AI into production systems; conduct safety-aligned evaluation and bias detection; partner with engineering, product, and design teams to advance AI technologies
Seniority
Senior, hands-on IC with technical leadership
