Remote Research Data Scientist – Generative AI & LLMs

Hammerjack Pty Ltd; Philippines; Remote; PHP 1,100,000 - 1,700,000; Full time

Job summary

Hammerjack Pty Ltd is seeking a Research Data Scientist to lead research-driven AI and ML initiatives across generative AI, LLMs, NLP, and multimodal AI. The role designs experiments, develops evaluation methodologies, analyzes complex datasets, and builds research prototypes for practical delivery.

This depth role emphasizes strong research capability, statistical rigor, and collaboration with researchers, data scientists, AI/ML engineers, domain experts and client teams.

Qualifications

• Master's or PhD in computer science, artificial intelligence, machine learning, data science, statistics, mathematics, computational science or a related discipline.
• Assessed on research capability with publications, patents, conference presentations or substantial applied AI/ML research preferred.

Responsibilities

• Conduct independent and collaborative research in generative AI, LLMs, NLP, multimodal AI, machine learning, model evaluation and AI data.
• Formulate research questions and translate complex AI/ML problems into structured research methodologies and experiments.
• Design, execute and analyze experiments to evaluate and improve AI/ML models and solutions.
• Build analytical models, prototypes and research pipelines using Python and relevant ML frameworks.
• Stay current with emerging research in generative AI, LLMs, NLP, multimodal models and AI evaluation.
• Develop and implement LLM evaluation frameworks, benchmarks, datasets and evaluation criteria.

Skills

Python

SQL

NumPy/Pandas

PyTorch/TensorFlow

Statistics

LLM Evaluation

Git & Cloud

Education

Master's or PhD in CS/AI/ML

Research publication record

Tools

AWS

Azure

Google Cloud

Job description

Hammerjack Pty Ltd is seeking a Research Data Scientist to lead research-driven AI and ML initiatives across generative AI, LLMs, NLP, and multimodal AI. The role designs experiments, develops evaluation methodologies, analyzes complex datasets, and builds research prototypes for practical delivery.

This depth role emphasizes strong research capability, statistical rigor, and collaboration with researchers, data scientists, AI/ML engineers, domain experts and client teams.