- M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics physics or computer engineering) with a focus on computer vision and/or machine learning or comparable professional experience.
- Strong ML and Generative Modeling fundamentals
- Experience using one or more of the following: Pre-training or Post-training of Multimodal-LLMs Reinforcement Learning Distillation
- Familiarity with distributed training
- Proficiency in using ML toolkits e.g. PyTorch
- Youre aware of the challenges associated to the transition of a prototype into a final product
- Proven record of research innovation and demonstrated leadership in both applied research and development
- Experience with building & deploying AI agents LLMs for tool use and Multimodal-LLMs
Required Experience:
Unclear Seniority
M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics physics or computer engineering) with a focus on computer vision and/or machine learning or comparable professional experience.Strong ML and Generative Modeling fundamentalsExperience using one or more of the foll...
- M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics physics or computer engineering) with a focus on computer vision and/or machine learning or comparable professional experience.
- Strong ML and Generative Modeling fundamentals
- Experience using one or more of the following: Pre-training or Post-training of Multimodal-LLMs Reinforcement Learning Distillation
- Familiarity with distributed training
- Proficiency in using ML toolkits e.g. PyTorch
- Youre aware of the challenges associated to the transition of a prototype into a final product
- Proven record of research innovation and demonstrated leadership in both applied research and development
- Experience with building & deploying AI agents LLMs for tool use and Multimodal-LLMs
Required Experience:
Unclear Seniority
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