Our client builds self-organizing technical teams and provides end-to-end software development services for partners worldwide. With over 300 successful projects and a cooperative organizational model, they emphasize long-term collaboration, shared responsibility, and collective success. Team members have the opportunity to become co-owners, shaping both the business and its future.
We are looking for a skilled Python Engineer to join an innovative AI initiative focused on building diverse, high-quality Reinforcement Learning (RL) environments. These environments facilitate the development of advanced AI systems across various domains, including coding, mathematics, gaming, and problem-solving.
What You Will Work On
You will contribute to designing, implementing, and refining RL environments that enable advanced AI training pipelines. Your work will directly impact the quality, stability, and diversity of the training tasks used to evaluate and improve modern AI models.
Key Responsibilities
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Design and implement RL environments across domains including coding, math, and games
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Define reward functions, evaluation metrics, and task specifications
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Continuously improve the reliability, diversity, and overall quality of the RL environment suite
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Provide technical guidance and feedback to improve the RL infrastructure
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Collaborate closely with a fast-moving, research-oriented engineering team
What We’re Looking For
- Strong background in machine learning — gained through work experience, academic training, or personal projects
- High fluency in Python with a track record of writing clean, efficient code
- Active user of large language models with a practical understanding of their capabilities and limitations
- Professional level of English
- Creative, self-directed mindset with the ability to generate new ML task ideas independenty
- High sense of ownership, responsibility, and consistent delivery of high-quality work
What We Offer
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Fully remote contractor role with flexible hours
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Competitive compensation
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Opportunity to transition into a full-time position
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Career growth possibilities within a cooperative structure
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Supportive, collaborative, and innovative team environment
If you are interested, please apply through the link or send your detailed CV to gergana@evolvetalent.eu.
Only shortlisted candidates will be invited for an interview.
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