You will be cooperating with a leading provider of AI evaluation and optimization solutions, trusted by multinational companies to optimize AI agents and detect performance issues in large language models.
In this role, you’ll help develop advanced reinforcement learning (RL) environments and scalable evaluation systems that guide and shape the behavior of cutting-edge AI models. The company’s mission is to enable safe, verifiable, and aligned AGI through rigorous, real-world agent evaluation.
Due to the client’s time zone, we would appreciate a candidate who can work until 5:00 p.m., or occasionally until 6:00 p.m. If you prefer working slightly later hours, that’s perfectly okay with the client - but it’s not a requirement.
This is a 100% remote position, but if you enjoy working from an office, you’re warmly welcome to join us there too ?
responsibilities :
Design and implement RL environments that support large-scale agent evaluation and reinforcement learning experiments.
Build task generation pipelines, dynamic datasets, and scripted environments with controlled complexity and stochasticity.
Develop verifiers and reward models to automatically score trajectories and evaluate model reasoning.
Collaborate with infrastructure and systems engineers to ensure environments are scalable, reproducible, and instrumented for detailed telemetry.
Design APIs and orchestration frameworks for running, resetting, and evaluating agents across environments.
Optimize environment performance, logging, and reward reproducibility across distributed setups.
requirements-expected :
5+ years of experience in software engineering, simulation systems, data science, or ML infrastructure.
Strong command of Python and systems-level programming.
Experience designing scalable task pipelines, browser or API simulations (e.g. Playwright, Selenium), or distributed compute frameworks.
Understanding of RL concepts - reward modeling, environment dynamics, verifiability, evaluation, and agent interaction loops.
Familiarity with instrumentation, metrics, and data pipelines for RL evaluation.
Curiosity and conviction around building environments that steer AGI.
offered :
Great atmosphere - we value a friendly, informal atmosphere, and direct contact with everyone in the company.
Outstanding People - we understand that great teams are about personalities, not just skills. Therefore our team accommodates a fantastic blend of individuals and management that removes roadblocks.
Modern technologies - we use proven technologies that are currently up-to-date. Even if you have not used all of them, you can make up for it with us!
Unlimited possibilities - you’ll get the opportunity to develop your qualifications thanks to sponsorship for industry meetups and conferences and working on challenging international projects with the latest technologies.
Private medical care and Multisport - we care about your health and wellbeing so you’ll get access to private medical care for you and your family, and partial funding for a sports card.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
remote work opportunities
flexible working time
integration events
corporate sports team
no dress code
video games at work
coffee / tea
drinks
parking space for employees
leisure zone
extra social benefits
baby layette
school layette
employee referral program
charity initiatives
company sports team
Gift vouchers for kids (birthdays, Christmas, Childs Day)
