Your goal : Put AI at the heart of AssessFirst and supplement our existing knowledge.

Your missions : Put machine learning at the core of AssessFirst, crafting cutting-edge algorithms that predict and optimize job success, team performance, and beyond. You'll play a critical role in shaping innovative AI-powered solutions that redefine how we understand and unlock human potential.

👉 To do this, you will have to:

• Create impact: Develop and refine predictive algorithms that power groundbreaking features in AssessFirst, from job compatibility to team dynamics and performance optimization.
• Explore and innovate: Collaborate with behavioral scientists to identify the most meaningful data and translate it into actionable insights.
• Build smarter systems: Design and implement efficient ML pipelines to handle complex data and drive better predictions.
• Push the boundaries of ML: Experiment with state-of-the-art techniques to develop models that go beyond the status quo.
• Analyze and iterate: Evaluate the performance and limitations of your models, ensuring continuous improvement and adaptability.
• Contribute to the science: Work with the Science and Product teams to bring ML-driven features to life in ways that directly impact our users.




Projects examples :

Work on a cutting-edge solution designed to assess language proficiency and technical skills through personalized, voice-based evaluations. 

Develop advanced algorithms that analyze recorded responses, extract meaningful insights, and deliver precise predictions of performance and potential.

Your future team

You’ll be part of the Science team, led by Emeric (Head of Science), and work alongside Konrad (Psychometrician and AI Engineer), Jianqiu (Data Engineer) and Simon (Chief Product Officer). 

This cross-disciplinary team thrives on collaboration, where behavioral science meets machine learning to deliver innovative solutions. You'll also engage closely with the back-end team and product team to turn insights into reality.

Find out what the team has to say on our Glassdoor page !

What we would need...

• Fluent in both English & French 🇬🇧🇫🇷 (requirement)
• Strong foundations in ML modeling and a passion for solving complex problems.
• Proficiency in Python and ML libraries like NumPy, Pandas, TensorFlow, PyTorch, and Scikit-Learn.
• Familiarity with Bayesian statistics and a strong grasp of mathematical principles.
• A desire to learn, experiment, and stay on top of advancements in machine learning research.
• The ability to work closely with teams from different disciplines, translating ideas into impactful ML solutions.

At AssessFirst, you'll have the chance to:

• Build innovative solutions at the intersection of psychology, machine learning, and technology.
• Join a team that values creativity, collaboration, and curiosity.
• Be part of a company making a real difference in how people and organizations thrive.
• Have a direct impact on the products we build and the lives we touch.

What you would need ?

• Autonomy ! There is a lot of space in AssessFirst, but make sure to take it.
• A really dynamic environment - Be ware, you need to follow our fast speed rythme !
• Give meaning to your work ! Reminder: We have the ambition to transform the world of recruitment ! ✨
• Freedom: This is a full remote position, meaning you can work wherever you want from Europe ! 
• We offer horizontal or vertical career opportunities 🌟
• A Swile card with €10 per working day.
• Access to coworking spaces up to 5 times/month.
• A strong culture and events to get together: 2 seminars/year and incredible teambuildings!
• Partnership with “Choisir ma crèche”: nurseries all over France.

Our recruitment process

1. You are in love with the job and the company

2. You complete our questionnaires by applying 

3. Agathe, our Talent Acquisition Manager, will contact you

4. 3 interviews max: with Emeric (your future manager), Tales (our current MLE) and finally Simon (CPO) & David our founder!

5. Welcome to the team! 👏

6. Go on, you need to apply now !

🌍 Diversity and inclusion are part of our values and we encourage everyone to apply (even if you don’t meet 100% of the requirements) regardless of their gender, ethnicity, age or academic/career path.