AI Research Engineer
New
P
ProlificAI Research
Remote, UKFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of engineering experience with significant AI/ML focus
- Required Skills
- Machine LearningLLM
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
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 that are grounded in human data
- Contribute to the academic AI community through publications and open-source contributions
- 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
- 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
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