AI Applied Scientist
Maki
AI Applied Scientist
Maki
Automates hiring with conversational AI assessments
The Science and AI team is at the heart of Maki People. It builds the science and AI behind our platform, from job analysis and assessments to AI interviews and predicting performance. Led by our Head of Science, Aiden Loe, and working closely with our COO, Paul-Louis Caylar, the team brings together business psychologists, psychometricians and AI scientists. Together, they make sure every hiring decision on our platform is accurate, consistent and fair.
As Maki grows, the Science and AI team’s job is to show, with evidence, that our approach leads to better hiring decisions.
The AI Applied Scientist turns our science into results for clients. Most of your time goes on client projects: adapting our AI scoring to each client’s roles, analysing their data, and showing them what it means. The rest goes on improving the scoring systems that every client relies on.
1. Client projects
Adapt AI scoring for structured interviews, job-specific skills and multilingual proficiency to each client’s roles and needs.
Analyse client assessment and performance data to show how scores relate to job performance and retention.
Set and review cut-offs and thresholds with clients, backed by evidence.
Present findings and recommendations directly to clients, in a way non-technical audiences can act on.
Work closely with implementation and customer success teams from setup to go-live.
2. Testing scoring quality
Compare AI scores with expert ratings to check accuracy and reliability before anything goes live.
Test robustness to prompt variation, input noise and adversarial behaviour such as prompt injection.
3. Fairness in practice
Run bias checks across demographic groups for each client project.
Apply mitigation techniques such as reweighting and calibration without losing model performance.
Support fairness reports and compliance documentation for clients.
4. Improving our scoring systems
Help choose the right models and prompts for production, balancing accuracy, speed and cost.
Support the move onto self-hosted open-weight models, including fine-tuning on expert-rated data.
Work with engineering to roll out scoring changes safely.
As one of Maki People’s early employees, you’ll help shape the team’s future.
Our Ideal Candidate
Required
MSc or PhD in data science, machine learning, psychology or a related field, or equivalent industry experience.
Hands-on experience with LLM-based scoring or evaluation.
Strong Python or R skills, with solid statistical analysis.
Experience presenting data-driven findings to clients or senior business stakeholders.
Able to manage several projects at once and keep to deadlines.
Preferred
Experience in consulting, people analytics or assessment.
Working knowledge of psychometric concepts such as reliability, validity and IRT.
Experience testing AI systems for fairness and bias.
Experience fine-tuning language models, for example with LoRA.
Working knowledge of ethical AI and compliance, such as the EU AI Act.
Stage 1 - Screening assessment (25 min)
Stage 2 - Power skill assessment with our AI agent (15 min)
Stage 3 - Hiring manager interview (45 min)
Stage 4 - Executive interview (45 min)
Stage 5 - Deep-dive technical interview (60 min)
Stage 6 - Interview with Co-founder (30 min)
Maki People uses conversational AI agents to automate the full talent acquisition workflow, from sourcing to selection, through adaptive conversations via voice, video, or text. It evaluates hard and soft skills with a library of over 200 expert-designed tests, focusing on capabilities rather than resumes. The platform combines large language models, speech recognition, psychometric assessments, and anti-fraud measures, and connects with 30+ ATSs to keep data synchronized. Its goal is to speed up hiring—claiming up to 80% of screening tasks automated and faster time-to-hire—while helping clients reduce turnover, with a push to expand in the United States under new leadership.
Explore more opportunities at Maki