Robotics AI Research Engineer (VLM/VLA)

CDFAM - Computational Design Symposium; Singapore; On-site; SGD 120,000 - 180,000; 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 state‑of‑the‑art robotics models (VLM, VLA) and apply them to diverse use cases.

You’ll work cross-functionally with internal and external science, engineering, and product teams to deliver high‑impact AI solutions. You will run pre-training, post-training, and deployment on large clusters, generate datasets, build evaluators, and develop tools for data generation, model

Qualifications

• Strong expertise in PyTorch or JAX.
• Experience with Vision Language Models (VLM) and Vision-Language-Action (VLA) for robotics tasks.
• Proficiency in Python with clean, readable, high-performance code.
• Excellent English communication and collaboration skills.
• Track record of delivering research or product-ready results.

Responsibilities

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

Skills

PyTorch or JAX

VLM / VLA models

Python

English fluency

Collaboration

Education

PhD / Master in Robotics or ML

Tools

Isaac Sim

Job description

Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy state‑of‑the‑art robotics models (VLM, VLA) and apply them to diverse use cases.

You’ll work cross-functionally with internal and external science, engineering, and product teams to deliver high‑impact AI solutions. You will run pre-training, post-training, and deployment on large clusters, generate datasets, build evaluators, and develop tools for data generation, model