The Oracle Global Business Unit (GBU) Generative AI team is seeking a Principal/Sr. Principal Applied Scientist to spearhead Generative AI and Agent use cases. The candidate will be responsible for driving the development and implementation of cutting-edge technologies, collaborating with teams of applied scientists and engineers, and working closely with development and consulting teams.
Requirements
- PhD, MS in computer science, engineering, mathematics or a field related to deep learning.
- Strong knowledge of ML fundamentals – supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data.
- 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field.
- Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers).
- Hands-on experience with distributed training of large language models.
- Strong development experience of deep learning modeling in Python.
- Familiarity with the latest advancements in LLM and generative AI technologies.
- Familiarity with engineering best practices, including shared codebase, version control, containerization, etc.
Benefits
- Competitive benefits based on parity and consistency
- Flexible medical, life insurance, and retirement options
- Volunteer programs
- Opportunities for global work
- Work-life balance