Machine Learning Engineer
As a Machine Learning Engineer at Featurely.ai, you will be at the forefront of human behavioral prediction, pioneering innovative approaches to understanding and simulating human behavior. You will architect and enhance simulation models, lead research initiatives, and translate insights into deployable solutions, leveraging cutting-edge language models and advanced ML techniques.
Featurely.ai is an innovative platform designed to help businesses streamline their product development process by providing rapid, actionable insights from real users. The platform leverages advanced AI technology to simulate user feedback, enabling teams to test product decisions against a diverse, representative group of users before launch. With Featurely, companies can eliminate launch anxiety, ship products faster by simulating thousands of options in minutes and maximize impact by investing in what works from day one.
By offering the ability to refine products based on real-time user data, Featurely.ai empowers businesses to create products that resonate with their target audience while saving time and resources. We're looking for someone who thrives on solving complex technical challenges and is excited about building technology that's redefining how companies understand and predict user behaviour. If you're passionate about creating elegant solutions to complex problems and want to be part of a team that's pushing the boundaries of AI technology, we want to talk to you.
We're looking for a creative problem-solver who's excited about defining the future of behavioral AI. If you're passionate about pushing the boundaries of machine learning while tackling real-world challenges in human behavior prediction, you'll find yourself at home with our team of ambitious innovators.
Be at the forefront of human behavioral prediction as a Machine Learning Researcher/Engineer at Featurely. You'll pioneer innovative approaches to understanding and simulating human behavior, leveraging cutting-edge language models, autonomous agents, and advanced ML techniques to push the boundaries of behavioral simulations.
This is an opportunity to work on groundbreaking technology that bridges the gap between theoretical ML research and practical applications in understanding human behavior.
Posted June 11, 2026