Research Scientist - Multi-modal AI & Efficient Generative Models

Meta; Redmond, Burlingame (WA, CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Reality Labs at Meta is hiring researchers to bring capabilities of generative vision and language models to resource constrained settings. The team focuses on AI and compute across smart glasses and VR headsets, combining fundamental research with technology development.

The ideal candidate has a PhD with published ML/vision-language work, 7+ years leading research with impact, and strong skills in PyTorch or TensorFlow, Python or C/C++, and mobile optimization.

Qualifications

• PhD in Computer Science or related field with published projects in machine learning and vision-language models.
• Bachelor's degree in CS/CE or related field or equivalent practical experience.
• 7+ years of leadership in research projects with industry-wide impact.
• Proven development skills in deep learning with PyTorch or TensorFlow.
• Experience developing DL models or infrastructure in Python or C/C++.
• Experience in DL, CV, language models, ML or AI.
• First-authored publications at peer-reviewed conferences (ICLR, ICML, CVPR, ECCV, ICCV, NeurIPS).
• Experience with CPU/GPU and mobile optimization.
• Ability to evaluate trade-offs and diverse viewpoints to determine a path forward.

Skills

Deep Learning

Python

C/C++

Computer Vision

Language Models

Problem Solving

Research Leadership

Education

PhD in Computer Science or related field

Bachelor's degree in Computer Science or Computer Engineering or related field

7+ years of experience leading research projects

First-author publications at peer-reviewed conferences

Tools

PyTorch

TensorFlow

Mobile Optimization

CPU/GPU Optimization

Job description

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most by enabling compelling experiences in novel computing platforms: Smart Glasses and VR headsets. We are a team of experts developing and shipping products advancing the state of the art in both AI and compute. The Core-AI team brings together a team of applied Vision-Language researchers and systems ML experts working on a range of foundational problems in perception, vision-language models, generative models and model optimization. We do a mix of fundamental research and technology development. We are seeking researchers with a passion to bring capabilities of generative vision and language models to resource constrained settings. 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 Experience with CPU/GPU and mobile optimization Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward

• 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
• Experience with CPU/GPU and mobile optimization
• Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward