Preferred Experience

5+ years of experience in Machine Learning Engineering or software development and data architecture.
Strong coding experience using Python or Typescript and Rust
Expertise in deep learning frameworks: PyTorch, JAX, or TensorFlow.
Experience in Inference and RL framework: vLLM, SGLang, Slime
MLOps & model deployment know-how: versioning, monitoring, experiment tracking.
Proven track record delivering projects in an agile, collaborative environment.
Genuine desire to mentor and grow more junior profiles over time.
Demonstrated ability to thrive in a demanding, fast-growing environment.
Excellent analytical skills, attention to detail, and strong prioritization.
Fluent English, mandatory (working language with our clients and the labs).

The extras that make the difference

Experience with GCP (or equivalent), Modal or GPU cluster and serverless technologies
Experience with infrastructure as code (Terraform, CloudFormation).
Strong interest in data anonymization, multi-modality, and RL environments.

Entrepreneurial adventure, play a key role and live the early days of an ambitious company, right at the front line of the AI revolution.
Backed by Y Combinator, join just as we accelerate.
Founding impact, shape the product, the tech stack, and the engineering culture from day one.
Offices in central Paris + 1–2 days WFH.
Package:
- €70–90k/year depending on profile
- BSPCE 0.2–0.5% depending on profile
- Alan health insurance (mutuelle)
- 50% Navigo covered

Recruitment Process