Applied Scientist & Research Engineer (EMEA) — AI Systems

Mistral; Amsterdam; On-site; EUR 110,000 - 160,000; Full time

Job summary

Mistral is seeking an Applied Scientist/Research Engineer to drive research efforts and partner with clients to solve AI problems. You will build and apply models across text, image, and speech, delivering measurable impact while collaborating with science, engineering and product teams.

Join a distributed, cutting-edge research team and contribute to scalable AI solutions with real-world results, working with thousands of GPUs, data pipelines and premier frameworks.

Qualifications

• Fluent English with clear communication across technical and non-technical audiences.
• Expert with PyTorch or JAX.
• Able to navigate a large codebase independently with minimal guidance.
• Writes clean, high-performance Python code.
• Demonstrates self-direction, low ego and collaboration.
• Proven track record via projects, work or academia.

Responsibilities

• Run pre-training, post-training and deploy state-of-the-art models on clusters with thousands of GPUs.
• Generate and curate data for pre-training and post-training, evaluating model performance against expectations.
• Develop tools and frameworks to support data generation, training, evaluation and deployment.
• Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
• Manage research projects and communications with client research teams.

Skills

Fluent English

PyTorch/JAX

Readable Python

Self-directed

Collaborative

Track record

Education

PhD / MSc in ML or related

Job description

Mistral is seeking an Applied Scientist/Research Engineer to drive research efforts and partner with clients to solve AI problems. You will build and apply models across text, image, and speech, delivering measurable impact while collaborating with science, engineering and product teams.

Join a distributed, cutting-edge research team and contribute to scalable AI solutions with real-world results, working with thousands of GPUs, data pipelines and premier frameworks.