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Senior Research Scientist(m/w/x)
Designing and deploying state-of-the-art Language AI models on dedicated GPU clusters for low-latency production at a global communications platform. Deep practical experience in Python and LLM/NMT/Voice/Audio research required. Hybrid work schedule.
Requirements
- PhD, Master’s, or equivalent industry experience
- Deep practical experience in Python
- Experience with PyTorch, JAX, or TensorFlow
- History of leading self-directed research projects
- Experience in LLM, NMT, or Voice/Audio
- Experience scaling deep learning models
- High proficiency in English
- Ownership of technical tasks and autonomy
Tasks
- Design and deploy state-of-the-art AI models
- Train neural networks on dedicated GPU clusters
- Optimize models for low-latency production environments
- Manage the full research lifecycle from prototyping to deployment
- Conduct theoretical modeling and ablation studies
- Collaborate with ML Platform, HPC, and DevOps teams
- Integrate research into high-scale infrastructure
- Lead initiatives to improve neural network mathematical understanding
- Ensure scientific reproducibility and high standards
- Participate in shared on-call rotations for service reliability
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
- TensorFlow
Benefits
Informal Culture
- Diverse and international team
- Open, welcoming work culture
- Open communication
Career Advancement
- Regular feedback
Flexible Working
- Hybrid work schedule
- Flexible working hours
Competitive Pay
- Virtual Shares
Team Events
- Regular in-person team events
- Monthly full-day hacking sessions
More Vacation Days
- 30 days of annual leave
Mental Health Support
- Mental health resources
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Senior Research Scientist(m/w/x)
Designing and deploying state-of-the-art Language AI models on dedicated GPU clusters for low-latency production at a global communications platform. Deep practical experience in Python and LLM/NMT/Voice/Audio research required. Hybrid work schedule.
Requirements
- PhD, Master’s, or equivalent industry experience
- Deep practical experience in Python
- Experience with PyTorch, JAX, or TensorFlow
- History of leading self-directed research projects
- Experience in LLM, NMT, or Voice/Audio
- Experience scaling deep learning models
- High proficiency in English
- Ownership of technical tasks and autonomy
Tasks
- Design and deploy state-of-the-art AI models
- Train neural networks on dedicated GPU clusters
- Optimize models for low-latency production environments
- Manage the full research lifecycle from prototyping to deployment
- Conduct theoretical modeling and ablation studies
- Collaborate with ML Platform, HPC, and DevOps teams
- Integrate research into high-scale infrastructure
- Lead initiatives to improve neural network mathematical understanding
- Ensure scientific reproducibility and high standards
- Participate in shared on-call rotations for service reliability
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
- TensorFlow
Benefits
Informal Culture
- Diverse and international team
- Open, welcoming work culture
- Open communication
Career Advancement
- Regular feedback
Flexible Working
- Hybrid work schedule
- Flexible working hours
Competitive Pay
- Virtual Shares
Team Events
- Regular in-person team events
- Monthly full-day hacking sessions
More Vacation Days
- 30 days of annual leave
Mental Health Support
- Mental health resources
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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