Lead Generative AI Engineer specializing in generative AI model development and AI transformation for KPMG clients. Drive innovation and address complex business challenges with AI initiatives.
About the role
- Conduct research on large language modeling and adaptation for Conversational Avatars (e.g. Neural Avatars, Talking-Heads).
- Develop methods to model both verbal and non-verbal aspects of conversation, adapting and controlling avatar behavior in real time.
- Experiment with fine-tuning, adaptation, and conditioning techniques to make LLMs more expressive, controllable, and task-specific.
- Partner with the Applied ML team to take research from prototype to production.
- Stay up to date with cutting-edge advancements — and help define what comes next.
Requirements
- A PhD (or near completion) in a relevant field, or equivalent research experience.
- Hands-on experience with LLMs or VLMs and a strong foundation in generative language models.
- Experience in fine-tuning/adapting LLMs for control, conditioning, or downstream tasks.
- Solid background in deep learning and familiarity with foundation model methods.
- Strong PyTorch skills and comfort building deep learning pipelines.
Benefits
- Remote within the U.S. or Europe available for exceptional candidates.
Job title
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Tech skills
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