Robotics Research Engineer — State-of-the-Art AI

Mistral.ai; Paris; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal and transportation allowances

Job summary

Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA) and apply them to diverse use cases, working cross-functionally with science, engineering, and product teams to deliver high-impact AI solutions.

You will run pre-training, post-training and deploy models on large clusters, generate datasets, build evaluators, and develop tools to support data generation, model training, evaluation and deployment.

Qualifications

• Fluent in English with excellent communication skills.
• Expert with PyTorch or JAX.
• Experience with Vision Language Models (VLM), Vision-Language-Action (VLA) models, perception, navigation and manipulation, simulation tools (e.g. Isaac SIM).
• Clean, readable, high-performance Python code.
• Doesn't need roadmaps. Ships.
• Low-ego, collaborative and eager to learn.
• Track record of success through personal projects, professional projects or academia.

Responsibilities

• Run pre-training, post-training and deploy state of the art models on large clusters.
• Generate and curate datasets (image-text, video-text), and build evaluators/benchmarks for perception, navigation and manipulation tasks.
• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
• Collaborate with cross-functional teams to tackle complex use cases.
• Manage research projects and communications with client research teams.

Skills

Fluent English

Collaborative

Education

PhD/Master in Robotics or ML

Tools

PyTorch

JAX

Isaac SIM

Python

Job description

Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA) and apply them to diverse use cases, working cross-functionally with science, engineering, and product teams to deliver high-impact AI solutions.

You will run pre-training, post-training and deploy models on large clusters, generate datasets, build evaluators, and develop tools to support data generation, model training, evaluation and deployment.