Remote AI Researcher - Training Optimization & Efficiency

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

Benefits offered by this job

Remote-friendly

Open research environment

Job summary

Jobgether is seeking an AI Researcher focused on Training Optimization in Ireland. This research‑driven role targets improving efficiency, stability, and scalability of large‑scale model training, combining machine learning research with systems engineering.

You will design rigorous experiments, analyze results, and publish findings. You’ll collaborate with infrastructure and inference teams to translate research into production, while maintaining strong scientific rigor in a fast‑moving

Qualifications

• Strong background in machine learning research, with expertise in training dynamics, optimization, and large-scale model training.
• Experience training large neural networks, including large language models, multimodal models, or other large sequence models.
• Publication experience at machine learning venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, COLM, arXiv, or equivalent open research.
• Strong proficiency in Python and PyTorch; distributed training and large-batch training.

Responsibilities

• Design, implement, and evaluate training optimization techniques for large-scale neural networks, including optimization algorithms, schedulers, normalization methods, and curriculum strategies.
• Investigate approaches for improving training efficiency, stability, convergence speed, and overall model quality across long training runs and large datasets.
• Research and implement techniques involving optimizer and scheduler innovations, mixed- and low-precision training, memory-efficient training, gradient noise reduction, scaling laws, and convergence analysis.
• Explore training-time regularization and robustness techniques that can improve model performance and reliability.
• Design and execute large-scale experiments, analyze results rigorously, and translate findings into actionable improvements to training systems and methodologies.
• Author or co-author research papers, technical reports, blog posts, and other forms of high-quality technical communication.
• Collaborate with infrastructure and inference engineering teams to connect training decisions with real-world production performance and constraints.
• Independently investigate emerging research directions and contribute to core model training decisions.

Skills

Training dynamics

Optimization theory

Large-scale model training

Python

PyTorch

Distributed training

Research publication

Tools

PyTorch

FSDP

ZeRO

Job description

Jobgether is seeking an AI Researcher focused on Training Optimization in Ireland. This research‑driven role targets improving efficiency, stability, and scalability of large‑scale model training, combining machine learning research with systems engineering.

You will design rigorous experiments, analyze results, and publish findings. You’ll collaborate with infrastructure and inference teams to translate research into production, while maintaining strong scientific rigor in a fast‑moving