AI Research Engineer

Responsibilities

We are representing a confidential AI research organization seeking an AI Research Engineer to conduct innovative research in evaluation methodologies, alignment techniques, and synthetic data generation. You will bridge the gap between cutting-edge AI research and practical applications, helping to translate research insights into valuable products and services.

Research & Innovation

• 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

Technical Implementation

• 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

Cross-Functional Collaboration

• 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

What We're Looking For

• 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

How We Work with You

Our talent team at Get A Job.ai will guide you through the entire process. When you apply through our platform at getajob.ai, one of our experienced recruiters will screen your application and discuss the opportunity with you in detail. We will then submit qualified candidates to our client for consideration. Please do not contact the client directly, as all communication should flow through Get A Job.ai to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Equal Employment Opportunity

Get A Job.ai is committed to inclusive hiring practices and works with clients who value diversity in their workforce. We encourage applications from candidates of all backgrounds.