AI/ML Engineer

Job Description

Prolific is seeking an AI/ML Engineer to join its Data Team. Prolific is a company focused on providing human data infrastructure for AI development. The AI/ML Engineer will be responsible for building cutting-edge AI systems that enable leading AI companies to incorporate high-quality human feedback and data into their models. This role involves architecting the intelligence that powers Prolific's human-in-the-loop platform, developing for both traditional ML models and modern AI systems.

What this role involves:

• Transforming existing models into robust, monitored systems.
• Designing and implementing AI/ML systems to enhance human feedback collection and utilization.
• Architecting solutions for intelligent task routing, quality issue detection, and human-AI interaction optimization.
• Balancing technical approaches with business requirements.
• Designing and architecting the AI/ML platform.
• Implementing AI/ML observability systems.
• Developing reproducible training and deployment pipelines.
• Establishing data-centric AI practices.
• Driving technical standards and best practices.
• Collaborating with data scientists, platform engineers, and research teams.

Requirements:

• Strong track record implementing AI/ML systems that solved real business problems.
• Skills in both building models and creating the infrastructure that supports them.
• Expertise in modern AI/ML engineering practices and technologies (e.g., LLMOps or agentic AI).
• Strong software engineering fundamentals with expertise in Python, AI/ML frameworks, and cloud infrastructure.
• Experience mentoring teams and influencing AI/ML strategy.
• Track record of improving AI/ML systems through better engineering practices.
• Passion for improving how AI systems learn from and interact with humans.
• Experience with human-in-the-loop systems, synthetic data, or AI alignment is a plus.

Prolific offers:

• Remote working.
• Opportunities for groundbreaking research.