We are looking for a Senior Research Engineer to support the development of next-generation generative AI powered solutions for Oracle Analytics. As a software developer embedded in an applied science team you will work closely with both scientists and engineers to implement, improve, and productionize cutting-edge scientific solutions for Oracle's analytics platforms and applications. You will be responsible for streamlining machine learning operations, implementing highly scalable experimentation and evaluation infrastructure, and optimizing code for operational performance. You will have an opportunity to deepen your knowledge of AI/Generative AI and, jointly with Applied Scientists, engage in forward-looking science development. Demonstrated experience implementing, scaling, and productionizing complex AI solutions is required. The successful candidate will have in-depth experience with MLOps, LLMs, prompt engineering, fine-tuning, data processing pipelines, and evaluation pipelines. Familiarity with frameworks such as OpenSearch, LangChain/LangGraph is required; hands-on experience with distributed training and inference frameworks as well as SQL and analytics tools is a plus.
Responsibilities:
• Develop and maintain efficient tooling and infrastructure for research experimentation.
• Implement model prototypes, optimize code for speed and scalability.
• Run experiment series and ablation studies.
• Collaborate closely with cross-functional teams to deliver solutions into various applications and products.
• Guide junior scientists and engineers on best practices for software development.
• Keep abreast of industry developments and innovations in AI computing.
• Engage in customizing AI solutions for specific verticals or customers.
Qualifications and Experience:
• MS or PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field and a minimum of 5 years of work experience.
• Hands-on experience in generative AI model/application implementation and evaluation.
• Hands-on experience implementing experimentation frameworks, data pipelines, MLOps.
• Solid understanding of generative AI and deep learning algorithms and architectures.
• Excellent problem-solving and analytical skills.
• Excellent proficiency in Python/PyTorch/Pyspark, MLFlow, SQL, Scikit-learn, Git, Bash, SLURM, Linux/Unix.
• Familiarity with a cloud-computing environment (OCI, AWS, GCP, Azure).
• Knowledge of Oracle Analytics platforms and services is a plus.
• Familiarity with LangGraph, OpenSearch, LLM APIs, MCP, A2A.
• Ability to iterate quickly and work in a fast-paced environment.
• Strong communication skills and ability to work successfully with both applied scientists and engineering teams.
Career Level - IC3
Disclaimer:
Career Level - IC3
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Company:
OracleEmployee Type:
Full timeLocation:
United StatesSalary:
$ 66800 - $ 178100