DeepMind
Research Scientist, Frontier(m/w/x)
Full-timeOn-siteExperienced
Zürich
New Job?Nejo!
The AI Job Search Engine
DE
DeepMindResearch Engineer, Multimodal Reinforcement Learning(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Doctoral / PhD
Work Experience
approx. 1 - 4 years
Tasks
- •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 & Technologies
PythonJAXTensorFlowPyTorch
Languages
English – Business Fluent
Benefits
Purpose-Driven Work
- •Scientific contribution
Modern Equipment
- •Access to world-class compute
Other Benefits
- •Direct impact on reasoning capabilities
Informal Culture
- •Collaborative culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepMind 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.
Not a perfect match?
- Lakera
Senior Research Engineer - Security Foundation Models(m/w/x)
Full-timeOn-siteSeniorZürich - Intrinsic
Research Scientist, Deep Learning(m/w/x)
Full-timeOn-siteExperiencedZürich - RepRisk AG
Senior AI Engineer(m/w/x)
Full-timeOn-siteSeniorZürich - Intrinsic
Senior AI Research Scientist - Vision-guided robotics(m/w/x)
Full-timeOn-siteSeniorMünchen, Zürich
DE
DeepMindResearch Engineer, Multimodal Reinforcement Learning(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
New Job?Nejo!
The AI Job Search Engine
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Doctoral / PhD
Work Experience
approx. 1 - 4 years
Tasks
- •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 & Technologies
PythonJAXTensorFlowPyTorch
Languages
English – Business Fluent
Benefits
Purpose-Driven Work
- •Scientific contribution
Modern Equipment
- •Access to world-class compute
Other Benefits
- •Direct impact on reasoning capabilities
Informal Culture
- •Collaborative culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepMind 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
DeepMind
Industry
IT
Description
The company advances the state of the art in artificial intelligence for public benefit and scientific discovery.
Not a perfect match?
- DeepMind
Research Scientist, Frontier(m/w/x)
Full-timeOn-siteExperiencedZürich - Lakera
Senior Research Engineer - Security Foundation Models(m/w/x)
Full-timeOn-siteSeniorZürich - Intrinsic
Research Scientist, Deep Learning(m/w/x)
Full-timeOn-siteExperiencedZürich - RepRisk AG
Senior AI Engineer(m/w/x)
Full-timeOn-siteSeniorZürich - Intrinsic
Senior AI Research Scientist - Vision-guided robotics(m/w/x)
Full-timeOn-siteSeniorMünchen, Zürich