AI Research Engineer

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

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Prolific

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🤝 B2B

AI • B2B • Research

Prolific is a platform that facilitates fast and high-quality data collection by connecting researchers with participants, including AI taskers. Researchers can launch tasks, surveys, and experiments and receive responses from a global community of over 200,000 active participants within hours. Prolific prides itself on providing accurate and detailed data while ensuring that participants are fairly rewarded for their contributions. The platform is trusted by leading academics and organizations for its flexibility, simplicity, and rapid project execution.

📋 Description

• 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 that are 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 open challenges in the field • Design and conduct rigorous experiments to study AI models and systems with sound methodological approaches • Develop scalable frameworks for systematic evaluation of model behaviours and capabilities • Create tools and frameworks that transform research insights into practical applications • Build infrastructure to support large-scale research experiments when needed • Apply knowledge of model fine-tuning, optimization techniques, distillation, and other ML engineering practices to support research goals • Work closely with ML engineers, data scientists, and product teams to translate research insights into practical applications • Mentor team members on advanced AI concepts and emerging research directions • Communicate complex technical concepts to diverse stakeholders

🎯 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 • 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 and ability to explain complex research concepts clearly • Passion for staying current with the rapidly evolving AI research landscape.

🏖️ Benefits

• Competitive salary • remote working within our impactful, mission-driven culture.