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AI Research Engineer - Pre training(m/w/x)
Description
In this role, you will be at the forefront of AI innovation, developing and optimizing architectures for advanced models. Your day-to-day responsibilities will involve experimenting with cutting-edge techniques and enhancing model performance on powerful distributed systems.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Degree in Computer Science or related field
- •PhD in NLP, Machine Learning, or related field
- •Solid track record in AI R&D
- •Good publications in A* conferences
- •Hands-on experience in large-scale LLM training
- •Experience with large, distributed servers
- •Familiarity with distributed training frameworks
- •Practical experience with training libraries and tools
- •Deep knowledge of transformer modifications
- •Deep knowledge of non-transformer modifications
- •Strong expertise in PyTorch
- •Strong expertise in Hugging Face libraries
- •Practical experience in model development
- •Experience in continual pretraining and deployment
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Drive innovation in architecture development for AI models
- •Enhance model intelligence and efficiency
- •Explore and implement novel techniques and algorithms
- •Curate data and strengthen baselines
- •Identify and resolve pre-training bottlenecks
- •Conduct pre-training on large, distributed servers
- •Design and prototype innovative architectures
- •Execute experiments and analyze results
- •Refine methodologies for optimal performance
- •Investigate and improve model efficiency
- •Contribute to scalable training systems
Tools & Technologies
Languages
English – Business Fluent
- Tether Operations LimitedFull-timeRemoteExperiencedLugano
- Tether Operations Limited
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AI Research Engineer - Pre training(m/w/x)
The AI Job Search Engine
Description
In this role, you will be at the forefront of AI innovation, developing and optimizing architectures for advanced models. Your day-to-day responsibilities will involve experimenting with cutting-edge techniques and enhancing model performance on powerful distributed systems.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Degree in Computer Science or related field
- •PhD in NLP, Machine Learning, or related field
- •Solid track record in AI R&D
- •Good publications in A* conferences
- •Hands-on experience in large-scale LLM training
- •Experience with large, distributed servers
- •Familiarity with distributed training frameworks
- •Practical experience with training libraries and tools
- •Deep knowledge of transformer modifications
- •Deep knowledge of non-transformer modifications
- •Strong expertise in PyTorch
- •Strong expertise in Hugging Face libraries
- •Practical experience in model development
- •Experience in continual pretraining and deployment
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Drive innovation in architecture development for AI models
- •Enhance model intelligence and efficiency
- •Explore and implement novel techniques and algorithms
- •Curate data and strengthen baselines
- •Identify and resolve pre-training bottlenecks
- •Conduct pre-training on large, distributed servers
- •Design and prototype innovative architectures
- •Execute experiments and analyze results
- •Refine methodologies for optimal performance
- •Investigate and improve model efficiency
- •Contribute to scalable training systems
Tools & Technologies
Languages
English – Business Fluent
About the Company
Tether Operations Limited
Industry
FinancialServices
Description
The company pioneers a global financial revolution with blockchain solutions, enabling secure and instant digital token transactions.
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