Staff Engineer - Environments & Evals (Hybrid, Equity)

Remanence; Paris; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation support

Hybrid work

Job summary

Remanence is assembling an advanced team to build adaptive AI training environments and evaluators. You will craft pipelines that generate tasks, states, and tool configurations, while filtering for validity and diversity.

You’ll design curricula that adapt to model failures and progress, and train simulators from deployment traces to model user behavior and dynamics. You will also implement evaluation harnesses to detect reward exploitation and generalization gaps, leveraging PyTorch-based

Qualifications

• Experience designing curricula and tasks for learning agents.
• Knowledge of model evaluation and reliability checks.
• Interest in synthetic data and world-model concepts.

Responsibilities

• Build pipelines that generate tasks, initial states, and configurations.
• Develop curriculum strategies based on failures and learning progress.
• Train simulators from deployment traces to model behavior.
• Create reproducible evaluation harnesses and tests.

Skills

Curriculum learning

World models

Synthetic data

Evaluation

Tools

Ray

Docker

Playwright

Gymnasium

Job description

Remanence is assembling an advanced team to build adaptive AI training environments and evaluators. You will craft pipelines that generate tasks, states, and tool configurations, while filtering for validity and diversity.

You’ll design curricula that adapt to model failures and progress, and train simulators from deployment traces to model user behavior and dynamics. You will also implement evaluation harnesses to detect reward exploitation and generalization gaps, leveraging PyTorch-based