AI Research Engineer

Overview
Join to apply for the
AI Research Engineer
role at
Prolific .This range is provided by Prolific. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range
Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that''s reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it''s the quality and diversity of human-generated data that truly differentiates products and models.Responsibilities
What You’ll Be DoingLead independent research projects in AI evaluation methodologies, alignment techniques, and synthetic data generationDesign and implement novel evaluation frameworks for LLMs and agent systems that are grounded in human dataContribute to the academic AI community through publications and open-source contributionsStay at the forefront of AI research and pioneer innovative approaches to tackle pressing open challenges in the fieldTechnical ImplementationDesign and conduct rigorous experiments to study AI models and systems with sound methodological approachesDevelop scalable frameworks for systematic evaluation of model behaviours and capabilitiesCreate tools and frameworks that transform research insights into practical applicationsBuild infrastructure to support large-scale research experiments when neededApply knowledge of model fine-tuning, optimization techniques, distillation, and other ML engineering practices to support research goalsCross-Functional CollaborationWork closely with ML engineers, data scientists, and product teams to translate research insights into practical applicationsMentor team members on advanced AI concepts and emerging research directionsCommunicate complex technical concepts to diverse stakeholdersWhat You’ll Bring
5+ years of engineering experience with significant AI/ML focusDemonstrated research experience through publications, open-source contributions, or impactful projectsStrong engineering fundamentals and experience implementing AI systems in production environmentsDeep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approachesExperience with model fine-tuning, adapters, quantization, and distillation frameworksSelf-motivation and ability to define and pursue research directions independentlyExcellent understanding of current challenges in AI safety, reliability, and alignmentStrong communication skills and ability to explain complex research concepts clearlyPassion for staying current with the rapidly evolving AI research landscapeWhy Prolific is a great place to work
We\''ve built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.We believe that the next leap in AI capabilities won\''t come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and best of humanity.Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
Engineering and Information TechnologySoftware DevelopmentReferrals increase your chances of interviewing at Prolific by 2xGet notified about new Artificial Intelligence Engineer jobs in
London, England, United Kingdom .London, England, United Kingdom 12 hours agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 month agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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