AI Research Scientist

• Finetune LLMs using RL and other SOTA methods
• Create conversational workflows involving tool-calls and static knowledge
• Work with agent teams to build business logic into conversation
• Employ multimodals to enrich the conversational UX
• Innovate and build novel methods for faster inference

Senior AI Research Scientist

• Evaluate & Benchmark: Run rigorous evaluations on frontier LLMs and autonomous agents across diverse tasks.
• Data Engineering: Create or modify benchmark data to test the reasoning and linguistic limits of modern AI.
• Experimental Research: Design and run experiments to identify "model-breaking points" and interpret the resulting data.

Werkstudent – AI Research, Data Evaluation

• Stay at the bleeding edge of foundation model research. You will identify, implement, and iterate on novel approaches to estimating data quality, synthetic data generation, curriculum learning, and advanced curation techniques.
• Design and lead rigorous ablation studies across various scales. You will systematically analyse how changes in data composition, deduplication strategies, heuristic and model-based curation, and scaling laws affect training dynamics and target model and system capabilities.
• Move beyond basic perplexity filtering. Research and build advanced algorithms to score and select data, such as influence functions, gradient-based matching, or using smaller models to curate data for larger ones.
• Partner closely with a diverse team to scale your research from prototypes to trillions-of-tokens-scale pipelines, and work with the post-training team to ensure pre-training distributions effectively support targeted fine-tuning and customer-alignment.

See all jobs on JobTailor

Senior AI Research Scientist

Werkstudent – AI Research, Data Evaluation

Senior AI Researcher – Pre-training Data