Research Scientist - Multi-modal AI & Efficient Generative Models

Responsibilities

• Drive the organization's goal towards relevant machine learning techniques in the area of multi-modal understanding and generation to build & optimize our intelligent systems that improve Meta's products and experiences
• Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
• Conduct applied research to advance the state of the art in efficient generative models (Diffusion models, Multi-modal LLMs, Vision Language Action models) and efficient perception models (Scene and Video understanding)
• Apply research to advance Meta's smartglasses and VR product lines
• Advance the state of the art in your problem area by defining and executing research roadmaps over 6-month or longer timeframes
• Collaborate with different cross-functional teams across the globe in research and product
• Present the outcomes of the research findings as papers in top-tier peer-reviewed conferences in the area

Minimum Qualifications

• PhD in Computer Science or a related field with published projects in the fields of machine learning, Deep learning with a focus on vision-language models
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 7+ years of experience leading research projects with industry-wide impact
• Proven development skills in Deep Learning, working with PyTorch or TensorFlow
• Experience developing deep learning models or infrastructure in Python or C/C++
• Experience in one or more of the following areas: deep learning, Computer Vision, language models, Machine Learning or artificial intelligence
• First-authored publications at peer-reviewed conferences, e.g. ICLR, ICML, CVPR, ECCV, ICCV, NeurIPS

Preferred Qualifications