AI Research Scientist

This is a fully remote position, open to applicants in Bangladesh.

📋 Description

• Train, fine-tune, and enhance large language models (LLMs) utilizing PyTorch and Hugging Face frameworks.

• Construct large-scale synthetic data generation pipelines.

• Create benchmarks for LLMs, automated evaluation workflows, and LLM-as-a-Judge systems.

• Conduct experiments involving supervised, semi-supervised, and unsupervised learning methodologies.

• Investigate modern LLM techniques such as Mixture-of-Experts (MoE), model ensembles, distillation, and more.

• Convert research concepts into reproducible experiments and production-ready systems.

• Collaborate closely with Stanford University researchers.

• Develop benchmarks and contribute to scholarly publications in conferences and journals.

• Engage with real-world challenges in LLM and healthcare AI domains.

⛳️ Requirements

• A Bachelor’s degree (minimum) in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related discipline.

• Thesis work in LLM/NLP is highly desirable.

• Previous publications in LLM/NLP are strongly preferred.

• Demonstrated hands-on experience with large language models.

• Proficient in Python programming.

• Familiarity with PyTorch, Hugging Face, and skills in model training, fine-tuning, and evaluation.

🏝️ Benefits

• Fully remote work environment.

• Approximately 50% overlap in working hours with California office hours, typically from 9 AM to 1 PM Pacific Time.

• Access to high-performance GPU servers, including A100 GPUs, for model training and fine-tuning tasks.

• Opportunities for collaboration with Stanford researchers.

• Chances to develop benchmarks and publish research findings in conferences and journals.

• Engage directly with complex, real-world LLM and healthcare AI challenges.

• Full-time employment commitment of 40 hours per week.