Researcher - Generative AI

Our team has an immediate 12-month contract opening for a Researcher.

Responsibilities:

• Working closely with a team of experienced researchers to solve real world challenges in the domain of Embodied AI.
• Developing state-of-the-art approaches for Embodied AI applications. Directions include, but not limited to, generative AI, representation learning, foundation models, reasoning, planning, data generation and augmentation, reinforcement learning, and low-level control.
• Translating mathematical problem definitions and model/solution specifications into efficient executable code.
• Conducting evaluation and empirical studies using robotic platforms in both simulation and real-world.
• Proposing high-impact intellectual properties (e.g., patents), and publishing or contributing to research papers in top-tier AI venues.

Requirements

What you'll bring to the team:

• M.Sc./ PhD degree in computer science or related fields (Exceptional candidates with Bachelor degree will be considered)
• Prior experience with generative AI, in particular diffusion models, normalizing flows, or generative flow networks
• Proven research record in AI by having at least one paper as the first author in top tier machine learning venues, such as NeurIPS, ICML, ICLR
• Proficiency in Python programming language with emphasis on clean coding and building experimental settings
• Experience with one or more mainstream deep learning frameworks e.g. PyTorch, TensorFlow
• Experience in robotic platforms for tasks, such as object manipulation and navigation tasks is an asset
  
• Experience with large-language models and vision-language models is an asset
• Experience with use of various transformer architectures and diffusion models