Research Engineer, Orchestral

Job summary

Responsibilities

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…

• 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.

What they'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.

Tech stack

• PyTorch
• Python
• Ray