Foundation Model Scientist / Engineer

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Job Reference:

ecr65wsp-56769

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2

Posted:

27.04.2025

Expiry Date:

11.06.2025

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Job Description:

TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully.

With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset.

We are looking for a Foundation Model Scientist/ Engineer for our client in a hybrid role, preferably based in Paris. Join us to create cutting-edge solutions that drive significant business impact.

What You’ll Do

Develop and optimize the training and inference stack for Vision-Language-Action foundation models in robotics

Collaborate with simulation and real-world robotics teams to curate high-quality, diverse, and large-scale datasets

Design new generative simulation techniques to expand simulation data scale and diversity, training and evaluating generative models of 3D objects and environments, and language/code models to generate tasks and reward functions

Collaborate with a team of driven individuals committed to building general-purpose Physical AI

What You’ll Bring

Passion for your craft and demonstrated excellence in foundation model research and engineering

Exceptional ownership and initiative—finding and solving problems independently

Extensive experience pioneering new machine learning ideas or refining existing methods, supported by first-author publications or impactful projects (5+ years)

A relentless commitment to data and code quality, rigorous evaluation, and meticulous attention to detail

Production-level expertise in modern Python

Bonus: Experience with Vision-Language-Action models for robotics or web agents