Job Summary
The role involves leading essential post-training and advanced reasoning investigations into large language models and diffusion structures. Additionally, it requires collaboration with internal teams to seamlessly incorporate algorithmic innovations into operational systems and to contribute actively to the broader research community.
Responsibilities
- Conduct foundational and advanced research on large language models and diffusion architectures.
- Collaborate with cross-functional teams to implement algorithmic advancements into live production systems.
- Engage with the research community to share findings and enhance collective knowledge.
Qualifications
- Bachelor’s degree in a technical field.
- Minimum of 2 years’ experience with machine learning and artificial intelligence algorithms, alongside proficiency in Python.
- A master’s degree or PhD is preferred.
- Demonstrated history of research publications is advantageous.
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