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Senior Staff Research Scientist(m/w/x)
Leading reinforcement learning research for Language AI post-training systems, defining scientific direction. PhD or equivalent in Computer Science, Machine Learning, or related field required. Direct influence on global Language AI product strategy.
Anforderungen
- Deep technical background
- Strong leadership skills
- Proven track record in research
- PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Physics, or related field
- 5+ years of experience in ML research
- Strong expertise in deep reinforcement learning
- Hands-on experience scaling and deploying LLMs or foundation models
- Strong programming skills
- Experience with large compute clusters and ML infrastructure
- Excellent communication skills
- Track record of mentoring other scientists
Aufgaben
- Lead the design and implementation of research in reinforcement learning
- Define scientific direction for post-training at DeepL
- Mentor researchers and drive innovations into production
- Shape scientific strategy and vision for post-training
- Identify high-leverage research directions and set technical standards
- Build and deploy reinforcement learning pipelines at scale
- Post-train large multi-modal models to align with human intent
- Enhance model performance, safety, and efficiency
- Drive the research lifecycle from conception to production deployment
- Collaborate with leadership to shape technical strategy for foundational models
- Build external collaborations with academic and industrial partners
- Set standards for experimentation, reproducibility, and model evaluation
- Collaborate with Engineering, ML Platform, and HPC teams for model updates
- Mentor senior scientists, researchers, and engineers
Berufserfahrung
- 5 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Noch nicht perfekt?
- IntrinsicVollzeitnur vor OrtSeniorMünchen
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Senior Staff Research Scientist(m/w/x)
Leading reinforcement learning research for Language AI post-training systems, defining scientific direction. PhD or equivalent in Computer Science, Machine Learning, or related field required. Direct influence on global Language AI product strategy.
Anforderungen
- Deep technical background
- Strong leadership skills
- Proven track record in research
- PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Physics, or related field
- 5+ years of experience in ML research
- Strong expertise in deep reinforcement learning
- Hands-on experience scaling and deploying LLMs or foundation models
- Strong programming skills
- Experience with large compute clusters and ML infrastructure
- Excellent communication skills
- Track record of mentoring other scientists
Aufgaben
- Lead the design and implementation of research in reinforcement learning
- Define scientific direction for post-training at DeepL
- Mentor researchers and drive innovations into production
- Shape scientific strategy and vision for post-training
- Identify high-leverage research directions and set technical standards
- Build and deploy reinforcement learning pipelines at scale
- Post-train large multi-modal models to align with human intent
- Enhance model performance, safety, and efficiency
- Drive the research lifecycle from conception to production deployment
- Collaborate with leadership to shape technical strategy for foundational models
- Build external collaborations with academic and industrial partners
- Set standards for experimentation, reproducibility, and model evaluation
- Collaborate with Engineering, ML Platform, and HPC teams for model updates
- Mentor senior scientists, researchers, and engineers
Berufserfahrung
- 5 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Über das Unternehmen
DeepL
Branche
IT
Beschreibung
DeepL is a global communications platform powered by Language AI, focused on breaking down language barriers and improving communication.
Noch nicht perfekt?
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