Research Scientist - FMTA
DeepL(26 days ago)
About this role
As a Research Scientist in Foundation Model Task Adaptation at DeepL, you will design, implement, and deploy advanced reinforcement learning algorithms to improve alignment between large language models and human intent. Your responsibilities include building scalable reinforcement learning pipelines, overseeing the entire research lifecycle from concept to production, and collaborating with engineering and ML platform teams to enhance model performance and safety. Additionally, you will foster partnerships with academic and industry experts to advance the impact of your work in Language AI.
Required Skills
- Reinforcement Learning
- Post-Training
- Model Evaluation
- Prototyping
- Collaboration
- Mathematical Skills
- Python
- Machine Learning Frameworks
- Large-Scale Models
- Research Projects
+5 more
Qualifications
- Masters degree, diploma, PhD, or equivalent industry experience in mathematics, physics, computer science, or a related field
About DeepL
www.deepl.comDeepL is an advanced translation technology company that offers high-quality translation services for texts and documents in over 30 languages. Their platform, recognized for its accuracy and efficiency, is widely used by individuals and businesses alike, providing tools for text translation, document translation, and writing enhancement. Additionally, DeepL offers an API for developers to integrate their translation capabilities into various applications. Trusted by over 200,000 organizations globally, DeepL is committed to improving multilingual communication and user experience through innovative language technology.
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