We are seeking a highly skilled and experienced Generative AI Engineer to join our team. The ideal candidate will have a deep understanding of language models, text-to-image, and other generative AI models. They must possess advanced knowledge of PyTorch, and the Tensorflow GPU API. They should have experience publishing research and be able to demonstrate their expertise in the field.
Responsibilities:
Develop and implement generative AI models, including LLMs and text-to-image models, using PyTorch and TensorFlow.
Design and optimize neural network architectures for scalability and performance.
Train and evaluate models using large datasets.
Troubleshoot and debug code to ensure high-quality results.
Keep up-to-date with the latest developments in the field of generative AI and apply them to our projects.
Collaborate with other engineers and researchers to develop innovative solutions.
Deep understanding of how to scale generative models and their limitations
Ability to quickly identify opportunities for model improvement
Deep understanding of Nvidia CUDA parallel programming
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3+ years of experience in developing generative AI models.
Strong programming skills in Python and experience with PyTorch, TensorFlow, and the Tensorflow GPU API.
Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP.
Experience with training and evaluating large-scale models on high-performance computing clusters.
Strong understanding of deep learning, natural language processing, and computer vision.
Excellent problem-solving skills and ability to work independently and in a team environment.
Experience publishing research in top-tier conferences and journals is highly desirable.
Published research findings in top-tier conferences and journals.
Preferred Qualifications:
Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
Demonstrated experience in developing generative AI models and publishing research in top-tier conferences and journals.
Strong knowledge of deep learning, natural language processing, and computer vision.
Experience with scaling up generative models and deploying them in production environments.
Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.