DeepL
Staff Research Scientist(m/w/x)
Full-timeWith HomeofficeSenior
Köln
New Job?Nejo!
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DEDeepL
Research Manager(m/w/x)
Köln
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Leading AI researchers in post-training LLMs for next-gen translation. PhD or equivalent ML research depth required. Hybrid work, flexible hours, diverse team.
Requirements
- PhD in Computer Science, Mathematics, Physics, or comparable quantitative discipline, or strong ML background with equivalent research depth
- Publication experience at top-tier venues (meaningful signal, not hard requirement)
- Strong foundation in deep learning and large-scale model training, preferably with LLM post-training experience
- Proven experience leading researcher/ML engineer teams, developing talent, maintaining delivery rigour, balancing academic quality and commercial timelines
- Openness to earlier-stage managers with genuine conviction around people leadership
- Comfortable operating across full model development lifecycle, including infrastructure and compute constraints
- Excellent communication skills, translating complex research to clear goals for technical and non-technical stakeholders
- Solution-oriented and decisive, navigating ambiguity and driving outcomes without direction
- Encouragement to apply even if not checking all boxes
Tasks
- Lead a team of specialist researchers
- Post-train models for next-generation translation products
- Develop algorithms and systems for model alignment
- Shape future model capabilities and user experiences
- Drive technical direction and people leadership
- Focus on specific, defensible AI capabilities
- Participate in technical discussions and experimental reviews
- Make architectural decisions shaping team operations
- Build strong individual development plans
- Foster a candid and constructive feedback culture
- Maintain high standards of research rigour and delivery
- Own the team's research roadmap in Reinforcement Learning
- Collaborate with senior ICs and cross-functional stakeholders
- Define and communicate strategic goals and success metrics
- Act as primary technical interface with adjacent functions
- Ensure well-scoped, well-communicated, and timely research output
- Identify, assess, and recruit research talent
- Operate with high autonomy in ambiguous environments
- Balance near-term product commitments with long-term research
Work Experience
- approx. 4 - 6 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- deep learning
- large-scale model training
- large language models
Benefits
Flexible Working
- Hybrid work schedule
- Flexible working hours
Informal 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
Mental Health Support
- Mental health resources
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepL 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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DEDeepL
Research Manager(m/w/x)
Köln
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Leading AI researchers in post-training LLMs for next-gen translation. PhD or equivalent ML research depth required. Hybrid work, flexible hours, diverse team.
Requirements
- PhD in Computer Science, Mathematics, Physics, or comparable quantitative discipline, or strong ML background with equivalent research depth
- Publication experience at top-tier venues (meaningful signal, not hard requirement)
- Strong foundation in deep learning and large-scale model training, preferably with LLM post-training experience
- Proven experience leading researcher/ML engineer teams, developing talent, maintaining delivery rigour, balancing academic quality and commercial timelines
- Openness to earlier-stage managers with genuine conviction around people leadership
- Comfortable operating across full model development lifecycle, including infrastructure and compute constraints
- Excellent communication skills, translating complex research to clear goals for technical and non-technical stakeholders
- Solution-oriented and decisive, navigating ambiguity and driving outcomes without direction
- Encouragement to apply even if not checking all boxes
Tasks
- Lead a team of specialist researchers
- Post-train models for next-generation translation products
- Develop algorithms and systems for model alignment
- Shape future model capabilities and user experiences
- Drive technical direction and people leadership
- Focus on specific, defensible AI capabilities
- Participate in technical discussions and experimental reviews
- Make architectural decisions shaping team operations
- Build strong individual development plans
- Foster a candid and constructive feedback culture
- Maintain high standards of research rigour and delivery
- Own the team's research roadmap in Reinforcement Learning
- Collaborate with senior ICs and cross-functional stakeholders
- Define and communicate strategic goals and success metrics
- Act as primary technical interface with adjacent functions
- Ensure well-scoped, well-communicated, and timely research output
- Identify, assess, and recruit research talent
- Operate with high autonomy in ambiguous environments
- Balance near-term product commitments with long-term research
Work Experience
- approx. 4 - 6 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- deep learning
- large-scale model training
- large language models
Benefits
Flexible Working
- Hybrid work schedule
- Flexible working hours
Informal 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
Mental Health Support
- Mental health resources
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepL 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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