About the role

Aplyr's Quick Take

This role is for a Research Engineer focused on machine learning, working closely with research scientists to build and optimize large-scale ML systems. You’ll either enhance shared infrastructure or embed within research teams to turn ideas into scalable code. It's a hands-on technical position requiring strong coding skills and experience with ML frameworks.

Good fit

Ideal candidates have a Master's or PhD in Computer Science and at least 4 years of experience with large-scale ML codebases. A collaborative mindset and comfort with distributed training are essential for success in this dynamic environment.

Worth noting

The role offers flexibility to move between platform and embedded teams based on interests, which is a unique opportunity for career growth. The company culture emphasizes low-ego collaboration and innovation, which may appeal to those seeking a supportive team environment.

About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

Role Summary

About the Research Engineering team

The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve.

As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:

- Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or

- Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, …) and turn fresh ideas into repeatable, scalable code.

What will you do

• Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.

• Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.

• Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs).

• Design, implement and benchmark ML algorithms; write clear, efficient code in Python.

• Deliver prototypes that become production-grade components for Le Chat and our enterprise API.

About you

• Master’s or PhD in Computer Science (or equivalent proven track record).

• 4 + years working on large-scale ML codebases.

• Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).

• Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.

• Strong software-design instincts: testing, code review, CI/CD.

• Self-starter, low-ego, collaborative.

Skills & Tags

python go machine learning ai data product design

Aplyr's read

Mistral AI is at the forefront of AI innovation, attracting talent keen on advancing natural language processing and machine understanding.
Synthesized from recent postings & public sources

What's promising

•Mistral AI focuses on cutting-edge natural language processing technology.
•The company has a diverse range of roles, indicating growth and expansion.
•Mistral AI's work aims to improve automation across various industries.

What to watch

•Limited public information about the company's financial stability.
•Potentially high competition in the AI sector could impact market share.
•Rapid technological changes may require constant adaptation and learning.

Why Mistral AI

•Mistral AI specializes in enhancing machine understanding of human language.
•The company hires globally, indicating a commitment to diverse perspectives.
•Mistral AI's focus on natural language processing sets it apart in the AI field.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Mistral AI

Mistral AI

mistral.ai

View company

Mistral AI is an innovative company focused on developing advanced AI models and solutions, particularly in the realm of natural language processing. Their work aims to enhance machine understanding and generation of human language, impacting various industries by improving automation and efficiency.