Research Engineer, Mistral AI

Machine Learning

Salary not provided

+ Equity

Kubernetes

Python

Tensorflow

CUDA

PyTorch

Mid and Senior level

San Francisco Bay Area

Offers Visa sponsorship

Office located in Palo Alto, CA

Generative AI model developers

Be an early applicant

Generative AI model developers

501-1000 employees

B2BArtificial IntelligenceDeep TechSaaS

Be an early applicant

Salary not provided

+ Equity

Kubernetes

Python

Tensorflow

CUDA

PyTorch

Mid and Senior level

San Francisco Bay Area

Offers Visa sponsorship

Office located in Palo Alto, CA

501-1000 employees

B2BArtificial IntelligenceDeep TechSaaS

Company mission

To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.

Job

Company

Role

Who you are

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

What the job involves

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
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

Our take

Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.

Mistral features up to 176 billion parameters, and its open-source nature has sparked concerns about potential misuse. However, Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.

In 2025, Mistral secured a massive €1.7 billion funding round, raising its valuation to €11.7 billion. This Series B funding, led by European chip firm ASML, underscores significant interest in alternatives to ChatGPT and a push away from Silicon Valley dependence by European AI competitors.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 5 rounds)

Sep 2025

$2.0bn

SERIES C

Jun 2024

$556.2m

SERIES B

Total funding: $3.2bn

Company benefits

Competitive bonus structure
Equity
Opportunities for professional growth and development

Company HQ

Villette, Paris, France

Leadership

Timothee Lacroix

(Co-Founder & CTO)

Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD

Guillaume Lample

(Co-Founder & Chief Scientist)

Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital

Arthur Mensch

(Co-Founder & CEO)

Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria

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