At a Glance
- Tasks: Design and prototype AI/ML methods to enhance data quality and support AI evaluation workflows.
- Company: Prolific is focused on transforming ambiguous problems into clear methodologies in AI.
- Benefits: Work closely with product and engineering teams on critical AI system problems.
- Other info: Strong Python skills are essential for this role.
- Why this job: Join a team dedicated to translating scientific methods into scalable AI capabilities.
- Qualifications: Requires 3+ years of applied ML experience and a PhD or MSc in a relevant field.
The predicted salary is between 60000 - 84000 £ per year.
Prolific seeks an Applied Scientist to design and prototype AI/ML methods enhancing data quality and supporting AI evaluation workflows. You will collaborate closely with product and engineering teams to transform ambiguous problems into clear methodologies and benchmarks.
The role requires:
- 3+ years of applied ML experience
- A PhD or MSc in a relevant field
- Strong Python skills
You will work on critical problems in AI systems, translating scientific methods into scalable capabilities.
Lead Applied AI Scientist - AI Quality & Evaluation employer: Prolific
Prolific offers a dynamic environment for AI innovation, located in a collaborative workspace. The team focuses on enhancing data quality and AI evaluation, making impactful contributions to the field.
We think you need these skills to ace Lead Applied AI Scientist - AI Quality & Evaluation
Applied Machine Learning (ML)
Python
Data Quality Enhancement
AI Evaluation Workflows
Collaboration with Product Teams
Collaboration with Engineering Teams
Methodology Development
