AI Research Engineer

Job Description

Prolific is seeking an AI Research Engineer to conduct innovative research in key AI areas including evaluation methodologies, alignment techniques, and synthetic data generation. The Research Engineer will bridge the gap between cutting-edge AI research and practical applications, helping to translate research insights into valuable products and services. The role involves writing papers that advance the field and directly impacting how Prolific understands, evaluates, and improves AI systems through high-quality human data.What this role involves:

• Leading independent research projects in AI evaluation methodologies, alignment techniques, and synthetic data generation.
• Designing and implementing novel evaluation frameworks for LLMs and agent systems that are grounded in human data.
• Contributing to the academic AI community through publications and open-source contributions.
• Developing scalable frameworks for systematic evaluation of model behaviours and capabilities.
• Creating tools and frameworks that transform research insights into practical applications.
• Working closely with ML engineers, data scientists, and product teams.

Requirements:

• 5+ years of engineering experience with significant AI/ML focus.
• Demonstrated research experience through publications, open-source contributions, or impactful projects.
• Strong engineering fundamentals and experience implementing AI systems in production environments.
• Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches.
• Experience with model fine-tuning, adapters, quantization, and distillation frameworks.
• Excellent understanding of current challenges in AI safety, reliability, and alignment.
• Strong communication skills and ability to explain complex research concepts clearly.

What Prolific offers:

• Competitive salary and benefits.
• Remote working.
• Opportunities for groundbreaking research.