AI Research Engineer

about 2 hours ago

Remote, United KingdomSenior / Mid Level

Responsibilities

Lead independent research projects in AI evaluation methodologies, alignment techniques, and synthetic data generation.
Design and implement novel evaluation frameworks for LLMs and agent systems grounded in human data.
Contribute to the academic AI community through publications and open-source contributions.
Stay at the forefront of AI research and pioneer innovative approaches to tackle pressing challenges.
Design and conduct rigorous experiments to study AI models and systems.
Develop scalable frameworks for systematic evaluation of model behaviors and capabilities.
Create tools and frameworks that transform research insights into practical applications.
Build infrastructure to support large-scale research experiments.
Apply knowledge of model fine-tuning and optimization techniques to support research goals.
Work closely with ML engineers, data scientists, and product teams to translate research insights.
Mentor team members on advanced AI concepts and emerging research directions.
Communicate complex technical concepts to diverse stakeholders.

5+ years of engineering experience with significant AI/ML focus.
Demonstrated research experience through publications or impactful projects.
Strong engineering fundamentals and experience implementing AI systems in production.
Deep knowledge of LLM evaluation methodologies and alignment techniques.
Experience with model fine-tuning, adapters, quantization, and distillation frameworks.
Self-motivation and ability to define and pursue research directions independently.
Excellent understanding of current challenges in AI safety, reliability, and alignment.
Strong communication skills to explain complex research concepts clearly.
Passion for staying current with the rapidly evolving AI research landscape.