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Research Engineer, Forge

Mistral AIParisSolutions
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
4 Sept 2026
Status
Open · checked 7d ago

About this role

Mistral AI is seeking a Research Engineer for the Forge team in Paris to develop dependable machine learning workflows and production systems. This remote-friendly opportunity suits engineers with strong Python skills who enjoy bridging research experimentation with real-world client requirements.

Role Overview

As a Research Engineer on Forge, the primary focus is transforming complex customer requirements into reliable training and deployment workflows. Operating within the Applied Science department, this role bridges research experimentation and production constraints. The position involves working end-to-end across model adaptation, post-training, evaluation, data pipelines, and infrastructure to deliver impactful client solutions.

Key Responsibilities

Build and improve post-training and evaluation workflows including CPT, SFT, RL, and distillation, turning prototypes into repeatable Forge recipes.
Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment.
Debug and harden large-scale machine learning systems covering distributed training, scheduling, execution, checkpointing, observability, and reproducibility.
Enhance the Forge codebase through clear APIs, robust tests, comprehensive documentation, and maintainable abstractions.
Advance the reinforcement learning training stack, focusing on high-throughput asynchronous rollout and scalable post-training systems.
Ensure seamless Forge deployments that adapt to diverse client needs across varying hardware, software stacks, cloud environments, and on-premises setups.
Partner closely with researchers and infrastructure engineers to translate system bottlenecks into concrete performance improvements.

Requirements

Strong Python engineering skills with experience managing large codebases through testing, code reviews, continuous integration, and operational ownership.
Hands-on practical experience using PyTorch, JAX, or similar frameworks.
Strong fundamentals in systems and infrastructure.
Experience working with large language model training or post-training, such as fine-tuning, reinforcement learning, distillation, evaluation, or data pipelines.
Excellent debugging capabilities when navigating ambiguous systems like distributed jobs, data issues, quality regressions, or infrastructure failures.
Clear communication skills suitable for interacting with both technical and non-technical stakeholders.
High agency, low ego, and comfort working in fast-moving, under-specified environments.

Nice to Have

Distributed training experience with tools like FSDP, DeepSpeed, or Megatron.
Cluster and orchestration experience using SLURM, Ray, Kubernetes, Kueue, Karpenter, or Skypilot.
Background in building reliable machine learning infrastructure, evaluation systems, or large-scale data processing pipelines.
Research experience focused on large language models, agents, multimodal models, reasoning, code, or domain adaptation.
Open-source contributions, academic publications, or widely utilized internal tooling.
Experience training multi-billion-parameter models during pre-training or reinforcement learning phases, including petabyte- and exabyte-scale datasets.
Ability to identify system bottlenecks across the entire stack and drive architectural improvements from first principles.

Skills and Tools

Python
PyTorch
Kubernetes
LLM
JAX
Distributed Training Systems

Salary and Benefits

Mistral AI offers a comprehensive benefits package that supports well-being, growth, and work-life balance. Available benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, and meal or transportation allowances. Candidates should visit the official Mistral AI benefits page for location-specific details.

About the Company

Mistral AI provides full-stack artificial intelligence solutions ranging from frontier models to developer tools, applications, and compute. The company partners with enterprises tackling complex challenges across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector. Operating as a dynamic, collaborative team distributed across Europe, North America, Asia, and the Middle East, Mistral AI is driven by innovation and a creative, low-ego culture.

How to Apply

Interested candidates should visit the official Mistral AI careers page to submit their application for the Research Engineer, Forge position.

Skills and tech stack

PythonPyTorchKubernetesLLM

Questions candidates ask

What department does the Research Engineer, Forge role sit in?

The role sits in the Applied Science department at Mistral AI.

Where is the Research Engineer, Forge position located?

The position is based in Paris with remote work options available.

What programming languages and frameworks are required?

Applicants need strong Python engineering skills and hands-on experience with PyTorch, JAX, or similar frameworks.

What types of industries does Mistral AI partner with?

Mistral AI partners with enterprises in high-stakes industries including finance, manufacturing, defense, healthcare, and the public sector.

How can I apply for this job?

You can apply directly through the official Mistral AI company careers page.

Ready to apply?

The application is on the official Mistral AI careers page.

Apply on company site