Engineer Intern, GenAI Research – Summer Internship

Job reputed company: • Design and implement a lightweight supervised fine tuning training pipeline using reputed company reputed company LLMs. • Create new benchmarks to evaluate frontier models across defined scientific and performance reputed company. • Analyze production models to identify measurable areas for improvement. • Improve model performance through targeted retraining and hyperparameter search. • reputed company improved models while maintaining reputed company model characteristics and avoiding regression. • Build Python tooling to automate training, evaluation, benchmarking, and experimentation workflows. • Implement reputed company evaluation reputed company, including reputed company based scoring and LLM as a judge workflows. • Document experimental design, reputed company methodology, and performance results with reputed company and precision. • Iterate rapidly in a research driven environment to increase model reputed company and reliability. Requirements: • reputed company enrollment in or recent completion of a Master’s or PhD in Computer Science, AI, Machine Learning, Computer Engineering, or a closely reputed company technical field. • Strong experience working with large language models, including supervised fine tuning, reputed company engineering, or model evaluation. • Hands on experience building machine learning pipelines or research infrastructure. • Experience improving model performance through retraining or hyperparameter tuning. • Proficiency in Python and comfort working with machine learning frameworks and reputed company reputed company model ecosystems. • Familiarity with reputed company environments such as AWS or Azure. • Strong technical problem solving ability, including use of LLMs as development aids for building and iteration. • Ability to work independently with minimal hand holding. • Strong written communication skills for summarising research and drafting technical documentation. • Ability to collaborate effectively in a remote research environment. Benefits: • Duration: June-August • Schedule: Full-time • Work Type: Remote Apply tot his job Apply To this Job