Research Engineer

4 weeks ago


London, United Kingdom Karkidi Full time

As a RE in RL you’ll be both part of the Engineering team in Berlin and part of a project-focused cross-office team that has to deliver innovative AI technologies to a client. REs are involved at every step of the project life cycle, including providing technical expertise and establishing projects before sales, driving R&D for POCs, developing MVPs, and ensuring continuous improvement and maintenance for industrialized solutions.
Develop novel algorithms and research ideas in fields such as RL and operational research with ML.
Collaborate with the Research team to turn concept work into actionable content.
Report and present experimental results and research findings clearly and efficiently, both internally and externally, orally and in writing in English.
You have learned how to use an extensive data frameworks and RL frameworks to create the pipelines needed to feed models with the appropriate data.
You have a solid understanding of software development, data engineering, ML, and RL principles.
You deeply understand data science and statistical methods, tools, and algorithms, such as RLLib, CleanRL, SB3, Scikit-Learn, TensorFlow, PyTorch, Jax, XGBoost, Pandas, MLFlow, or similar MLOps frameworks.
D. degree in Computer Science, Operational Research, Reinforcement learning or related field.
Experience in developing and debugging in Python. C/C++ or similar languages are a plus.
Proficiency with Git workflow or similar development with best coding practices.
Research and software engineer experience demonstrated via contributions to open source, work experience or coding competitions.
Excellent English skills. German fluency is a plus.
Professional experience in AI or similar fields is a plus.
Some background in Electrical Engineering is a plus.



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