United States onlyThe Oracle Global Business Unit (GBU) Generative AI team is seeking a Principal/Sr. Principal Applied Scientist to lead Generative AI and Agent use cases that support GBU business applications. The role requires a passion for innovative products, strong collaboration skills, and hands-on experience as a data scientist applying AI to solve business problems.
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.
- Passionate about being a builder and working with talented peers to solve hard problems at scale
- Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders
Benefits
- Competitive benefits based on parity and consistency
- Flexible medical, life insurance, and retirement options
- Volunteer programs
- Equal Employment Opportunity Employer
Germany only
CL and MX only
Netherlands only
