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Research Scientist(m/w/x)
Developing and optimizing Language AI models for translation and multi-modal voice processing on dedicated GPU clusters. Deep practical experience in Python and PyTorch, JAX, or TensorFlow required. Hybrid work schedule, flexible hours.
Requirements
- PhD, Master’s, or equivalent industry experience
- Deep practical experience in Python and PyTorch, JAX, or TensorFlow
- History of leading self-directed research projects
- Specialized experience in LLM, NMT, or Voice/Audio modalities (beneficial)
- Experience scaling and shipping deep learning models (plus)
- High proficiency in English
- Ownership over technical tasks and autonomy
Tasks
- Design and deploy state-of-the-art AI models
- Develop models for translation and large-scale alignment
- Create multi-modal voice processing systems
- Train neural networks on dedicated GPU clusters
- Optimize models for low-latency production environments
- Manage the full research lifecycle from modeling to deployment
- Conduct theoretical prototyping and ablation studies
- Collaborate with ML Platform, HPC, and DevOps teams
- Integrate research into high-scale infrastructure
- Lead initiatives to improve neural network understanding
- Ensure scientific reproducibility and high standards
- Participate in shared on-call rotations for service reliability
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
- TensorFlow
Benefits
Flexible Working
- Hybrid work schedule
- Flexible working hours
Modern Equipment
- Modern technology
Informal Culture
- Open and welcoming work culture
- Diverse and internationally distributed team
- Open communication
Career Advancement
- Regular feedback
Competitive Pay
- Virtual Shares
Team Events
- Regular in-person team events
- Monthly full-day hacking sessions
More Vacation Days
- 30 days of annual leave
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Research Scientist(m/w/x)
Developing and optimizing Language AI models for translation and multi-modal voice processing on dedicated GPU clusters. Deep practical experience in Python and PyTorch, JAX, or TensorFlow required. Hybrid work schedule, flexible hours.
Requirements
- PhD, Master’s, or equivalent industry experience
- Deep practical experience in Python and PyTorch, JAX, or TensorFlow
- History of leading self-directed research projects
- Specialized experience in LLM, NMT, or Voice/Audio modalities (beneficial)
- Experience scaling and shipping deep learning models (plus)
- High proficiency in English
- Ownership over technical tasks and autonomy
Tasks
- Design and deploy state-of-the-art AI models
- Develop models for translation and large-scale alignment
- Create multi-modal voice processing systems
- Train neural networks on dedicated GPU clusters
- Optimize models for low-latency production environments
- Manage the full research lifecycle from modeling to deployment
- Conduct theoretical prototyping and ablation studies
- Collaborate with ML Platform, HPC, and DevOps teams
- Integrate research into high-scale infrastructure
- Lead initiatives to improve neural network understanding
- Ensure scientific reproducibility and high standards
- Participate in shared on-call rotations for service reliability
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
- TensorFlow
Benefits
Flexible Working
- Hybrid work schedule
- Flexible working hours
Modern Equipment
- Modern technology
Informal Culture
- Open and welcoming work culture
- Diverse and internationally distributed team
- Open communication
Career Advancement
- Regular feedback
Competitive Pay
- Virtual Shares
Team Events
- Regular in-person team events
- Monthly full-day hacking sessions
More Vacation Days
- 30 days of annual leave
About the Company
DeepL
Industry
IT
Description
DeepL is a global communications platform powered by Language AI, focused on breaking down language barriers and improving communication.
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