Research Engineer, Orchestral

Mistral AI; Greater London; Vor Ort; GBP 90.000 - 140.000; Vollzeit

Zusammenfassung

Mistral AI is seeking a Research Engineer for the Orchestral team to help build the agentic platform used to train and evaluate models. You will own significant pieces end to end, from design to production, focusing on a distributed RL system and tooling for researchers.

We value strong Python skills, a builder mindset, and experience delivering robust, scalable software. You will collaborate across a distributed team across Europe, North America, Asia and the Middle East.

Qualifikationen

• Strong Python skills and software-design instincts.
• Experience building distributed systems at scale with reliability in mind.
• Self-starter, collaborative, with a product mindset toward users.

Aufgaben

• Design and build the core of the Orchestral platform: library, abstractions and tooling for training and evaluating models.
• Evolve rollout engine with long-running tasks and subagents.
• Run Orchestral as a production system ensuring workloads run reliably at scale.
• Improve data and job flow through the platform: scheduling, routing and request handling.
• Treat researchers as users and translate their needs into shared tooling.
• Raise engineering quality across the platform: testing, code reviews, CI/CD, observability and docs.
• Contribute to open-source rollout-engine and agent-infrastructure projects where beneficial.

Kenntnisse

Python

Distributed systems

CI/CD

Testing

Collaboration

Open-source contributions

Tools

Ray

Agent-infrastructure

Jobbeschreibung

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

As a Research Engineer on the Orchestral team, you will help build the agentic platform we use to train and evaluate our models. Orchestral is the system our researchers rely on to run training and evaluation at scale — from the rollout engine that powers agentic workflows to the infrastructure that keeps their workloads running reliably. What you build becomes the foundation the whole science team works on.

Your work will span the platform's core: the library, tooling, abstractions and rollout engine — including new capabilities like long-running tasks, subagents and RL features — and the machinery that runs data and jobs at scale, with a focus on resiliency, routing and request handling. You will own significant pieces end to end, from design to production.

This is a software engineering role rather than an ML or infrastructure-operations one: RL or PyTorch experience is not required, and you will spend your time building the platform, not operating it. You will be building a distributed RL system, with the scientists as your users.

What You Will Do

• Design and build the core of the Orchestral platform: the library, abstractions and tooling researchers use to train and evaluate models.

• Build and evolve the rollout engine, shipping new capabilities such as long-running tasks and subagents.

• Run Orchestral as a production system: keep training and evaluation workloads reliable at scale.

• Improve how data and jobs flow through the platform as usage grows — scheduling, routing and request handling.

• Treat researchers as your users: understand their workflows and turn recurring needs into robust, shared tooling.

• Raise the bar on engineering quality across the platform: testing, code review, CI/CD, observability and documentation.

• Contribute to open-source rollout-engine and agent-infrastructure projects where it benefits the platform.

What We're Looking For

• Experience directly building and debugging complex distributed systems at scale, with an emphasis on reliability and scalability.

• Strong Python skills and solid software-design instincts: testing, code review, CI/CD.

• A builder mindset: you have constructed systems from the ground up, not just operated polished ones.

• A track record in small teams running complex systems at scale — for example in finance, crypto or ad tech.

• Self-starter, low-ego and collaborative, with a product mindset toward your users.

• Curiosity about ML and RL — this experience is not required, but a desire to learn is.

Nice-to-haves

• Hands-on experience with Ray or similar distributed-computing frameworks.

• Open-source contributions, especially to rollout-engine or agent-infrastructure projects such as SLIME, verl or PrimeRL.

• Experience building or working with agentic workflows and environments.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

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