People Scientist: AI-PsychometricsThe People Scientist works at the intersection of psychometrics, AI, and research, ensuring that Maki’s automated scoring systems are scientifically robust, fair, and continuously improving.
Assess the statistical accuracy and reliability of LLMs used for automated scoring (e.g., structured grid methods; job-specific skills; multi-lingual proficiency tests - written and spoken).
Compare and validate STT/TTS models and assess their downstream impact on candidate scores.
Continuously identify and evaluate emerging LLM, STT, and TTS models to optimise scoring precision and efficiency.
Evaluate and calibrate psychometric models (e.g., CTT, IRT, CFA) to ensure the scientific validity and comparability of AI-scored assessments across populations and test forms.
Design research comparing AI-scored assessments with expert human judgments to ensure validity and alignment.
Benchmark semantic and embedding models (e.g., BERT, GPT-4, MPNet, DeepSeek) for diverse assessment types.
Develop hybrid scoring pipelines combining human oversight and AI-driven analytics.
Detect and analyse potential biases in AI-generated or psychometric scores across demographic groups.
Apply fairness and bias-mitigation techniques (e.g., reweighting, calibration, subgroup analysis) while maintaining model performance integrity.
Contribute to internal fairness dashboards and compliance documentation, supporting transparent model governance.
Continuously evaluate model generalisability and fairness to ensure all predictive algorithms adhere to ethical and scientific standards.
Work with large-scale assessment and performance datasets to model relationships between candidate scores, job performance, and retention outcomes.
Develop and test predictive models that estimate success probabilities or identify key behavioural and linguistic predictors of performance.
Collaborate with data science, implementation and customer success teams to translate insights into actionable recommendations for clients and internal stakeholders.
Investigate anomalies raised by clients or internal QA.
Conduct diagnostic analyses and recommend evidence-based improvements.
Explore fine-tuning, prompt-engineering, and evaluation methods to enhance model performance.
Translate technical findings into actionable insights for non-technical stakeholders.
Prepare and disseminate research through internal reports, publications, or conferences.
Eventually as one of the early employee of MakiPeople, you’ll be be able to shape the future of the team. We share as much ownership on the way we work and on the product itself as we can as we’re convinced our success is 99% due to our team.
Advanced degree (PhD/MSc) in Data Science, Machine Learning, Psychometrics, Computational Linguistics, or Psychology.
Proven expertise in AI model evaluation, psychometric validation, and statistical analysis.
Basic knowledge of psychometric modelling (e.g., IRT, CFA, CAT) and its application in assessment design and validation.
Familiarity with LLMs and NLP techniques used for automated assessment and scoring.
Experience applying fairness and bias testing methodologies in AI-driven decisions.
Skilled in validation research ensuring reliability, construct validity, and practical relevance of assessments.
Proficiency in Python or R and experience with statistical software (e.g., SPSS, Mplus, JASP) and cloud databases (e.g., BigQuery).
Strong grounding in ethical AI, data governance, and compliance.
Experienced in collaborating across teams (engineering, product, content) and communicating insights clearly to both scientific and business audiences.
Skilled in data visualisation and research writing, with a track record of publications or applied studies.
A note on diversity @MakiPeople
“Don’t meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.”
Make a Real Impact: As part of our small, dynamic team, your contributions will have a direct and visible impact on the company’s success. Your work truly matters here.
Unlock Career Growth: With plenty of learning and development opportunities, this is your chance to grow your career in autonomy, problem-solving, process design, innovation, and client management.
Ambitious Futures Welcome: We value ambition and are excited to support your journey toward more senior roles as you grow and as new opportunities emerge within the company.
Shape Your Path: We are committed to supporting your career evolution, offering flexible “transversal” mobility opportunities tailored to your aspirations and goals within the organisation.
🤩 A competitive salary and generous equity packages
📍 A complete flexible working policy (hybrid)
🍽️ A lunch card with a dedicated monthly budget
👨👩👧👧 Team socials (weekly lunch & drinks, quarterly MakiDays)
🏠 WeWork offices located in Paris or London.
⛑️ A delightful healthcare insurance, with 100% of the contribution covered for you
👪 A supportive working environment
Give human resources more-than-human powers.
Build the conversational AI agent that liberates HR teams, advances organisations, and expands human potential.
We are still very young and our culture is evolving as we grow together. Nonetheless, below are values we identify ourselves with:
Play to Win - Our ambition is limitless. We relentlessly aim for the top, pushing forward to be number one.
Push the Boundaries - Innovation drives us. We adapt, evolve, and set new standards to redefine whatʼs possible.
Trust is Earned - Trust is our foundation. We hold ourselves to the highest standards of transparency, security, and responsibility.
Embrace Intensity - Speed and precision define our approach. We execute with urgency, focus, and purpose to create immediate, tangible impact.
Stronger together - We succeed as one. Collaboration, shared purpose, and collective ownership are at the heart of our progress.