AI Distillation Researcher: Efficient LLM Deployment

Jobgether; Ireland; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Ownership over research

Publish research

Open-source projects

Job summary

Jobgether is seeking an AI Researcher focused on distillation based in Ireland. You will research and implement distillation techniques to transform large models into smaller, faster, deployable systems, while collaborating with engineers to productionize successful approaches.

The role combines fundamental ML research with hands-on experimentation and aims to publish findings and contribute to open-source projects. You will own research directions and work with a small, highly technical team.

Qualifications

• Strong academic or professional background in machine learning research.
• Hands-on experience with model distillation or related areas such as model compression, pruning, quantization, or representation learning.
• Demonstrated publication experience through conference or journal papers, workshop publications, or arXiv preprints.
• Strong understanding of optimization, training dynamics, generalization, and modern deep learning methodologies.

Responsibilities

• Design, implement, and evaluate advanced model distillation techniques.
• Investigate tradeoffs between model size, latency, memory, throughput and accuracy.
• Develop novel approaches to distilling large language models and long-context architectures.
• Conduct large-scale experiments, ablations, and rigorous analysis to validate hypotheses.
• Translate research findings into production-ready implementations with engineering teams.
• Prepare and submit research papers to leading ML conferences and venues.

Skills

Model distillation

Research publications

Experiment design

PyTorch

Communication

Optimization theory

Inference optimization

Education

PhD in ML

Tools

PyTorch

Experimentation frameworks

Job description

Jobgether is seeking an AI Researcher focused on distillation based in Ireland. You will research and implement distillation techniques to transform large models into smaller, faster, deployable systems, while collaborating with engineers to productionize successful approaches.

The role combines fundamental ML research with hands-on experimentation and aims to publish findings and contribute to open-source projects. You will own research directions and work with a small, highly technical team.