DeepMind
Research Scientist(m/w/x)
Full-timeOn-siteSenior
Zürich
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LALakera
Senior Research Engineer - Security Foundation Models(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Designing distributed training pipelines for LLMs, developing adversarial training pipelines. Proven track record in engineering robust ML infrastructure required. Focus on large-scale distributed AI systems.
Requirements
- Passion for building fast
- Thriving in designing and scaling AI systems
- Excitement for real-world AI security problems
- Enjoyment of working in a fast-paced environment
- Proven track record of advancing research through engineering
- Experience architecting and optimizing large-scale distributed systems
- Track record of scaling impactful research efforts
- Experience scaling LLM training across multiple GPUs/TPUs
- Experience building robust ML pipelines
- Advanced degree in ML, AI, or related field (plus)
Tasks
- Scale training of large security foundation models
- Design and optimize distributed training pipelines for LLMs
- Implement reinforcement learning methods for LLMs at scale
- Develop adversarial training pipelines to enhance AI security
- Engineer robust ML infrastructure for high-performance research
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Lakera and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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LALakera
Senior Research Engineer - Security Foundation Models(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Designing distributed training pipelines for LLMs, developing adversarial training pipelines. Proven track record in engineering robust ML infrastructure required. Focus on large-scale distributed AI systems.
Requirements
- Passion for building fast
- Thriving in designing and scaling AI systems
- Excitement for real-world AI security problems
- Enjoyment of working in a fast-paced environment
- Proven track record of advancing research through engineering
- Experience architecting and optimizing large-scale distributed systems
- Track record of scaling impactful research efforts
- Experience scaling LLM training across multiple GPUs/TPUs
- Experience building robust ML pipelines
- Advanced degree in ML, AI, or related field (plus)
Tasks
- Scale training of large security foundation models
- Design and optimize distributed training pipelines for LLMs
- Implement reinforcement learning methods for LLMs at scale
- Develop adversarial training pipelines to enhance AI security
- Engineer robust ML infrastructure for high-performance research
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Lakera and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Lakera
Industry
IT
Description
The company is building security foundation models for AI applications, ensuring safe deployment and operation of AI technologies.
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