we're seeking an experienced Principal Scientist to lead our research and development efforts in generative AI. The ideal candidate will have a strong background in machine learning, deep learning, and natural language processing, with specific expertise in generative models.

What you will do

Lead research initiatives in generative AI, focusing on advancing state-of-the-art techniques
Design and implement novel architectures for generative models
Collaborate with cross-functional product and engineering teams to integrate generative AI technologies into our products
Mentor junior researchers and engineers, fostering a culture of innovation
Publish research findings in top-tier conferences and journals
Stay current with the latest developments in the field and identify new opportunities for innovation

What you will need

B.Tech in Computer Science, Machine Learning, or a related field with at least 8+ years of experience in AI/ML research
Deep understanding of transformer architectures, large language models, and diffusion models
Expertise in PyTorch or TensorFlow, and proficiency in Python
Experience leading research teams and mentoring junior researchers- Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences

Preferred Qualifications:

M.Tech or Ph.D in Computer Science with a specialization in Machine Learning
Experience with multi-modal generative models
Track record of successful research-to-product transitions
Experience with distributed computing and large-scale model training
Experience in large scale LLM Ops and optimizing LLMs for efficient inference
Strong publication record in top AI conferences (eg, NeurIPS, ICML, ICLR, KDD, CVPR, AAAI)

Principal Data Scientist

Job Description

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