Staff Engineer, AI Environments & Evaluations (Hybrid)

REMANENCE; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation support

Hybrid work

Job summary

Remanence is building the next era of enterprise AI with high-fidelity simulation environments and scalable training loops. We seek a technically strong individual who can design pipelines, curricula, and evaluators to push model reliability in complex tasks.

The role blends research and engineering across environments, data, and tooling. You will work on pipelines, simulators, and evaluation harnesses while collaborating with a fast-moving team in Paris or London.

Qualifications

• Strong engineering background with experimental judgment.
• Experience with synthetic data, world models, agents, curriculum learning, or evaluation.
• Able to learn unfamiliar domains quickly and contribute across stack.

Responsibilities

• Build pipelines that generate tasks, initial states, tool configurations, and verifiers; filter for validity, diversity, and difficulty.
• Develop curriculum strategies that select and generate tasks based on model failures and learning progress.
• Train learned simulators from deployment traces to model user behavior and environment dynamics; validate fidelity against real interactions.
• Build reproducible evaluation harnesses and held-out tests to detect reward exploitation and generalization failures.

Skills

Pytorch

Transformers

vLLM

Ray

Docker

OpenEnv

Gymnasium

Playwright

Tools

Docker

Ray

OpenEnv

Gymnasium

Playwright

Parquet

LanceDB

DVC

Job description

Remanence is building the next era of enterprise AI with high-fidelity simulation environments and scalable training loops. We seek a technically strong individual who can design pipelines, curricula, and evaluators to push model reliability in complex tasks.

The role blends research and engineering across environments, data, and tooling. You will work on pipelines, simulators, and evaluation harnesses while collaborating with a fast-moving team in Paris or London.