Die KI-Suchmaschine für Jobs
Research Engineer, Multimodal Reinforcement Learning(m/w/x)
Beschreibung
As a Research Engineer, you will focus on developing innovative reinforcement learning algorithms that enhance multi-turn reasoning in multimodal settings. Your work will involve creating scalable training environments and collaborating across teams to support product needs in various applications.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Curiosity about learning mechanics
- •PhD in Computer Science, AI, or related field, or equivalent practical experience
- •Proven research track record with scientific contributions
- •Experience with multimodal models
- •Strong coding skills in Python, JAX/TensorFlow/PyTorch
- •Experience with retrieval-augmented generation, embedding spaces, or search infrastructure
- •Familiarity with multi-agent negotiation frameworks
- •Experience building or scaling training environments
Ausbildung
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •Design and implement novel RL algorithms for multi-turn reasoning in multimodal environments
- •Contribute to the infrastructure for generating high-quality, semi-verifiable training environments
- •Apply state-of-the-art methods to address strategic problems in retrieval-augmented reasoning
- •Track, interpret, and analyze complex experiments to ensure scientific rigor in training pipelines
- •Facilitate collaboration between teams to build shared pipelines for conversational infrastructure
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Sinnstiftende Arbeit
- •Scientific contribution
Moderne Technikausstattung
- •Access to world-class compute
Sonstige Vorteile
- •Direct impact on reasoning capabilities
Lockere Unternehmenskultur
- •Collaborative culture
- DeepMindVollzeitnur vor OrtBerufserfahrenZürich
- Lakera
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Research Engineer, Multimodal Reinforcement Learning(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
As a Research Engineer, you will focus on developing innovative reinforcement learning algorithms that enhance multi-turn reasoning in multimodal settings. Your work will involve creating scalable training environments and collaborating across teams to support product needs in various applications.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Curiosity about learning mechanics
- •PhD in Computer Science, AI, or related field, or equivalent practical experience
- •Proven research track record with scientific contributions
- •Experience with multimodal models
- •Strong coding skills in Python, JAX/TensorFlow/PyTorch
- •Experience with retrieval-augmented generation, embedding spaces, or search infrastructure
- •Familiarity with multi-agent negotiation frameworks
- •Experience building or scaling training environments
Ausbildung
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •Design and implement novel RL algorithms for multi-turn reasoning in multimodal environments
- •Contribute to the infrastructure for generating high-quality, semi-verifiable training environments
- •Apply state-of-the-art methods to address strategic problems in retrieval-augmented reasoning
- •Track, interpret, and analyze complex experiments to ensure scientific rigor in training pipelines
- •Facilitate collaboration between teams to build shared pipelines for conversational infrastructure
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Sinnstiftende Arbeit
- •Scientific contribution
Moderne Technikausstattung
- •Access to world-class compute
Sonstige Vorteile
- •Direct impact on reasoning capabilities
Lockere Unternehmenskultur
- •Collaborative culture
Über das Unternehmen
DeepMind
Branche
IT
Beschreibung
The company advances the state of the art in artificial intelligence for public benefit and scientific discovery.
- DeepMind
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