AI Research Scientist/Engineer Multimodal VLM and MLLM

Description

• Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
• Lead on research projects within a global team
• Explore new data sources and discover techniques for best leveraging data
• Develop new ML models and AI techniques

Requirements

• Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions)
• Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs
• Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms
• Publication track record in machine learning conferences and/or journals
• Strong coding abilities in Python
• Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience)
• A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines
• Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
• Familiarity with PyTorch, PyTorch Lightning, or similar frameworks
• Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction domain
• Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance