At the heart of Maki People, the Science team is shaping the future of hiring through innovation, rigour, and collaboration. Led by our Head of Science, Aiden Loe, and working closely with our COO, Paul-Louis Caylar, this team drives the development of high-quality content that sets our platform apart.
We don’t just create and validate assessments—we innovate. Our work spans:
Expanding a cutting-edge library of tests and tools.
Designing bespoke activities and experiences for clients.
Evaluating and refining AI-driven scoring algorithms and large language models (LLMs) to ensure fairness, accuracy, and transparency.
Leveraging psychometric expertise to build reliable, valid, and impactful assessments.
Developing tools that analyze candidate and job data to predict performance and potential with precision.
Supporting clients in using assessment data to optimize their workforce strategies, from talent acquisition to development and retention.
Leading original studies to explore emerging psychological and technological trends and sharing insights through publications, presentations, and client reports.
Collaborating with regulatory bodies and industry leaders to establish new standards in ethical AI use and hiring practices.
Equipping internal teams and clients with the knowledge and skills needed to understand and apply psychological and AI-driven insights effectively.
As Maki continues to grow, the Science team is central to understanding user experiences, refining assessments, and driving broader adoption—all while upholding the highest scientific standards.
Your impact as a AI Scientist Intern will go beyond day-to-day responsibilities— you’ll be a key partner in shaping the future of recruitment while driving exceptional outcomes for our clients.
About the RoleYou'll work at the intersection of AI and psychometrics, helping ensure Maki's automated scoring systems are scientifically sound and fair. As an early member of the team, you'll have real ownership over the work you do.
Your main areas of focus will be:
Model evaluation — testing how accurately and reliably our LLMs score assessments across languages and skills
Human-AI comparison — designing studies that compare AI scoring against expert human judgment
Bias & fairness — detecting and analysing potential biases across demographic groups and helping build fairer models
Predictive analytics — working with assessment data to understand what predicts job performance and retention
Model monitoring — investigating anomalies and tracking model performance over time
Research — translating findings into insights for non-technical stakeholders and contributing to publications
What We're Looking For
Studying towards or recently completed an MSc or PhD in Data Science, Psychometrics, Computational Linguistics, or Psychology
Strong hands-on experience with LLMs — prompt engineering, evaluation, benchmarking, and understanding model behaviour
Familiarity with NLP techniques used in automated scoring and assessment
Some exposure to psychometric methods (IRT, CFA) is a plus
Comfortable with Python or R
Curious, rigorous, and able to communicate technical findings clearly
Stage 1 - Screening assessment (20 mins)
Stage 2 - Hiring manager interview (45 min)
Stage 3 - Power skill assessment with our AI agent (15 min)
Stage 4 - Deep-dive technical interview (60 min)
MakiPeople London, England Office
London, United Kingdom
