Our research themes include, but are not limited to: multimodal understanding of documents/video/audio, post-training of multimodal FMs including supervised fine tuning and RL, automated annotations, in-context learning and context compression, model distillation and optimization.Work/Life Balance
Mentorship & Career Growth
- Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics or Physics or related field.
- 7+ years of experience in AI and Machine Learning in industry and/or academia.
- 3+ years of experience recruiting and managing PhD level Scientists, Researchers and Engineers from industry and/or academia.
- Proven research science publication background with a track record of thought leadership and contributions that have advanced the field
- Strong skills in programming languages, such as C/C++ and Python.
- Proven experience in commercializing computer vision, machine learning, or deep learning solutions
- Strong record of delivery in industry and academic contexts, ability to handle multiple competing priorities in a fast-paced environment.
- Excellent written and verbal communication skills.
- PhD or MSc in computer science or related fields - 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia.
- 5+ years of experience recruiting and managing PhD level Scientists, Researchers and Engineers.
- Strong publication history in top peer reviewed conferences
- Proven experience in designing and delivering computer vision or machine learning systems with multiple components
- Professional traits that are not unique to this position, but necessary for Amazon leaders
- Exhibits excellent judgment
- Hires and develops great people
- Has relentlessly high standards (is never satisfied with the status quo)
- Is able to dive deep and is never out of touch with the details of the business or the technology
- Expects and requires innovation of her/his team
- Has passion and convictions and the innate ability to inspire passion in others
- Oriented towards delivering results
- Thinks big
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