Thesis project: reinforcement learning environments for ai agents Jobs

Thesis project: reinforcement learning environments for ai agents

Predli

Location:
Sweden, Stockholm

Category:
Research and Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Your thesis will connect to our ongoing work with Predli Studio and help shape how we design and evaluate AI agent behaviors in practice. This thesis will focus on the development of advanced RL scenarios that challenge agent adaptability, generalization and decision-making under uncertainty, providing valuable insights into the capabilities and limitations of current RL approaches.

Job Responsibility:

Focus on the development of advanced RL scenarios that challenge agent adaptability, generalization and decision-making under uncertainty, providing valuable insights into the capabilities and limitations of current RL approaches
Collaborate with engineers and researchers to define a clear scope that fits both academic requirements and ongoing applied AI work

Requirements:

Enrolled in a master’s program in Machine Learning, AI, Data Science, Computer Science, or Engineering Physics (or a related field)
Curious, analytical, and eager to explore how AI can be applied in practice
Skilled in Python and Typescript
Confident in taking initiative, communicating ideas clearly, and working both independently and collaboratively
Excited to learn from and contribute to a small, high-impact team where knowledge sharing and experimentation are part of everyday life
Preferably based in Stockholm, with the possibility to work partly remote
Fluent in English

What we offer:

Work alongside experienced AI engineers and researchers who will collaborate with you throughout your thesis
Get access to real-world data, infrastructure, and insights from ongoing AI projects
Contribute directly to the development of Predli Studio and help shape how organizations build and deploy AI in practice
Be part of a collaborative environment where learning, curiosity, and knowledge sharing are valued and encouraged
Gain exposure to both the consulting and product sides of applied AI
Possibility to continue your journey with us after your thesis

Additional Information:

Job Posted:
December 11, 2025

Work Type:

Hybrid work

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