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Description:
Conduct research and development in Generative AI, focusing on text, images, and time-series data.
Work with a team to innovate and advance Generative AI across model architectures, distributed computing, optimization techniques, and deployment.
Design and implement algorithms to push the state-of-the-art in Generative AI.
Collaborate with cross-functional teams to design and implement large-scale cloud-native products and APIs.
Stay updated on the latest developments in Generative AI.
Publish research findings in top-tier conferences and journals.
Mentor and coach the research and technology team to foster a culture of innovation.
Requirements:
Master’s degree in computer science, Computer Engineering, or relevant field.
10+ years of AI research experience with a focus on Generative AI.
Strong background in Generative AI, Deep Learning, Machine Learning, Probability, and Statistics.
Proven track record of publications in top-tier conferences and journals.
Proficiency in Python and/or Go, with deep understanding of Deeplearning techniques.
Knowledge of cloud providers like AWS, Google Cloud, and/or Azure.
Ability to solve complex problems, make data-driven decisions, and apply best practices for secure software development.
Exceptional problem-solving skills and attention to detail.
Ability to thrive in a fast-paced startup environment and collaborate effectively.
Benefits:
Professional development opportunities, training, and mentorship programs.
Flexible work arrangements, including remote/hybrid options.
Access to the latest technologies and tools.
Regular social events and team-building activities.