Buhl Data Service GmbH
Senior AI / Data Science Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Mannheim
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ALAleph Alpha
Senior AI Researcher- Reinforcement learning(m/w/x)
Heidelberg
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Large-scale experiments and code-base maintenance for general-purpose model methodology at AI lab with 50+ researchers. Proven experience in multi-node LLM training and RL theory required. Virtual Stock Option Plan, 30 days vacation.
Requirements
- Deep understanding of Reinforcement Learning theory
- Experience with multi-node LLM training
- Familiarity with statistical evaluation methods
- Ability to analyze evaluation environments
- Strong Python and ML tooling skills
- Willingness to relocate or travel
- PhD in RL or equivalent research
- Contributions to top-tier RL venues
- Experience evaluating LLM models
Tasks
- Shape and improve underlying RL methodology
- Maintain a high-quality training code-base
- Conduct large-scale reinforcement learning experiments
- Derive hypotheses from experimental results
- Iterate on implementation and methodology
- Execute large-scale LLM training runs
- Analyze evaluation scores in depth
- Propose and implement performance improvements
- Maximize performance on internal benchmarks
- Identify and implement novel multi-turn RL approaches
- Stay current with bleeding-edge RL research
- Identify and resolve training infrastructure bottlenecks
- Optimize RL loops for large-scale training
- Partner with post-training teams on feedback
- Convert raw feedback into actionable training signals
- Ensure RL iterations improve downstream performance
Work Experience
- approx. 4 - 6 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- torch distributed
- LLM
- ML tooling
Benefits
Flexible Working
- Flexible working hours
- Hybrid working model
Competitive Pay
- Virtual Stock Option Plan
More Vacation Days
- 30 days paid vacation
Healthcare & Fitness
- Fitness & wellness offerings
Mental Health Support
- Mental health support
Retirement Plans
- Subsidized company pension plan
Public Transport Subsidies
- Subsidized transportation ticket
Additional Allowances
- Technical equipment budget
Company Bike
- JobRad Bike Lease
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Aleph Alpha 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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ALAleph Alpha
Senior AI Researcher- Reinforcement learning(m/w/x)
Heidelberg
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Large-scale experiments and code-base maintenance for general-purpose model methodology at AI lab with 50+ researchers. Proven experience in multi-node LLM training and RL theory required. Virtual Stock Option Plan, 30 days vacation.
Requirements
- Deep understanding of Reinforcement Learning theory
- Experience with multi-node LLM training
- Familiarity with statistical evaluation methods
- Ability to analyze evaluation environments
- Strong Python and ML tooling skills
- Willingness to relocate or travel
- PhD in RL or equivalent research
- Contributions to top-tier RL venues
- Experience evaluating LLM models
Tasks
- Shape and improve underlying RL methodology
- Maintain a high-quality training code-base
- Conduct large-scale reinforcement learning experiments
- Derive hypotheses from experimental results
- Iterate on implementation and methodology
- Execute large-scale LLM training runs
- Analyze evaluation scores in depth
- Propose and implement performance improvements
- Maximize performance on internal benchmarks
- Identify and implement novel multi-turn RL approaches
- Stay current with bleeding-edge RL research
- Identify and resolve training infrastructure bottlenecks
- Optimize RL loops for large-scale training
- Partner with post-training teams on feedback
- Convert raw feedback into actionable training signals
- Ensure RL iterations improve downstream performance
Work Experience
- approx. 4 - 6 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- torch distributed
- LLM
- ML tooling
Benefits
Flexible Working
- Flexible working hours
- Hybrid working model
Competitive Pay
- Virtual Stock Option Plan
More Vacation Days
- 30 days paid vacation
Healthcare & Fitness
- Fitness & wellness offerings
Mental Health Support
- Mental health support
Retirement Plans
- Subsidized company pension plan
Public Transport Subsidies
- Subsidized transportation ticket
Additional Allowances
- Technical equipment budget
Company Bike
- JobRad Bike Lease
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Aleph Alpha 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
Aleph Alpha
Industry
IT
Description
The company develops cutting-edge generative AI solutions with a strong emphasis on sovereignty, ethical development, and societal benefit.
Not a perfect match?
- Buhl Data Service GmbH
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Full-timeWith HomeofficeSeniorMannheim - SAP
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Senior Performance Engineer- Pretraining(m/w/x)
Full-timeWith HomeofficeSeniorHeidelberg - Exxeta
Senior Data Scientist - Physical AI & Computer Vision(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Karlsruhe, Mannheim - ABB AG
Senior Scientist – Agentic AI and Applications(m/w/x)
Full-timeWith HomeofficeSeniorMannheim