Time-Series AI Scientist: Foundation Models

UMA is seeking a Research Scientist/Engineer to develop architectures and training methods that make robotic foundation models more capable and efficient to train. You will focus on pretraining and explore multimodal architectures, faster training recipes, and compute-efficient scaling strategies for real robots.You will collaborate with AI researchers and...

Sigma Nova is seeking a Research Scientist (Reinforcement Learning) to bring RL into the core of how foundation models are adapted for industrial use. You’ll design learning signals from expert feedback and build robust evaluation protocols.You’ll work with engineers to deploy RL methods on production-ready models, address safety and uncertainty, and...

The role We’re hiring a Research Scientist (Reinforcement Learning) to help bring RL into the core of how foundation models are adapted and improved for industrial use. In industry, models don’t live in isolation: domain experts validate, correct, and act on model outputs. We want RL to leverage that expert feedback not only as a post‑training patch,...

Sigma Nova in Paris is building foundation models for complex scientific signals, starting with EEG, fMRI, and ultrasound, with the aim to extend to other data-scarce domains. The role emphasizes architecture-level thinking, pre-training strategies, and multimodal alignment in a collaborative team.As a key contributor, you will own experiments from...

About MistralMistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.We are a...

About MistralMistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.We are a...

Snap Inc. in Paris, France, seeks a Machine Learning Engineer to join the Brain-Computer Interface team. You will design and deploy ML models for time-series data on wearable devices, collaborating with hardware and software teams worldwide.Ideal candidates have MSc in ML or CS, 3+ years in ML research or engineering, strong Python or C++, and experience...

Snap Inc. in Paris is hiring a Machine Learning Engineer to advance ML for time-series data on wearable devices. You will design, implement and deploy models across Specs hardware and software teams, collaborating globally to push the next generation of sensing technology.You will write clean, tested code, work with ML frameworks like PyTorch and mlflow, and...

Sr. Machine Learning Engineer, Foundation Models Inference - Cloud OS & InferenceParis, Ile-de-France, France Machine Learning and AIWe are the Foundation Model Inference team within Cloud OS and AI Inference organization. We are on a mission to build the most highly performant, secure and private inference stack that powers Siri AI, Apple Intelligence and...