Research Engineer, Orchestral
Mistral AI6 days ago
Paris, France +2 moreSenior
Responsibilities
- Design and build the Orchestral platform’s core libraries, abstractions, and researcher tooling.
- Evolve the rollout engine with capabilities including long-running tasks and subagents.
- Run the Orchestral production system and maintain reliable training and evaluation workloads at scale.
- Improve data and job flow through scheduling, routing, and request handling.
- Translate researcher workflows into robust shared tooling and contribute to engineering quality through testing, code review, observability, documentation, and CI/CD.
- Contribute to open-source rollout-engine and agent-infrastructure projects when useful to the platform.
Requirements
- Direct experience building and debugging complex distributed systems at scale, with an emphasis on reliability and scalability.
- Strong Python skills and solid software-design instincts, including testing, code review, and CI/CD.
- Experience constructing systems from the ground up rather than only operating existing systems.
- A track record working in small teams running complex systems at scale, such as in finance, crypto, or ad tech.
- A collaborative, self-starting, low-ego approach with a product mindset toward users.
- Curiosity about ML and RL; prior RL experience is not required.
- Experience with Ray or similar distributed-computing frameworks, open-source contributions, and agentic workflows or environments is preferred.
Benefits
- 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.
About Mistral AI
Mistral AI builds foundation language models and full‑stack AI solutions for enterprises, offering APIs, on‑prem deployment, developer tools, and applications. The privately held company, founded in 2023 and headquartered in Paris, partners with organizations in finance, manufacturing, defense, healthcare, and the public sector to co‑create customized systems. It releases open‑source models alongside commercial offerings and makes its models available through major cloud marketplaces.