A fast-growing deeptech startup is advancing the field of AI for scientific discovery, building cutting-edge models to accelerate research and innovation. The team is now hiring a Machine Learning Engineer in Paris to help push the boundaries of foundation models for science.
Responsibilities
- Design, train, and evaluate large-scale deep learning models for scientific applications
- Build robust, scalable pipelines for data preprocessing, model training, and deployment
- Collaborate with research scientists to translate breakthroughs into production systems
- Contribute to shaping the product roadmap and the technical vision of the team
- 3+ years of experience in machine learning engineering or applied deep learning
- Strong background in Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX)
- Experience building and scaling ML pipelines for training and inference
- Familiarity with distributed computing and GPU acceleration
- Excited to work on-site at our Paris office
- Authorised to work in the EU without sponsorship
#LI-TK1