Flexion Robotics
.AI Research Engineer - RL Manipulation(m/w/x)
Full-timeOn-siteExperienced
Zürich
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FLFlexion Robotics
Research Engineer - Dexterous Manipulation (Egocentric Models)(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Architecting pre-training objectives for egocentric video datasets and developing hand-object interaction representations. PhD or Master's degree in Robotics or ML required. Energetic, collaborative team.
Requirements
- PhD or Master’s degree in Robotics, Machine Learning, or related field
- Strong focus on data-driven manipulation, egocentric vision, or foundation models
- Experience with Humanoid or Dexterous Manipulation
- Deep understanding of contact-rich physics
- Excellent Python knowledge
- Excellent PyTorch knowledge
- Excellent distributed training knowledge (FSDP, NCCL)
- Proven expertise in Diffusion Models
- Proven expertise in Flow Matching
- Proven expertise in Transformers
- Hands-on experience deploying learning-based controllers on real robot hardware
- Experience with Reinforcement Learning
- Experience with simulation environments (IsaacLab, MuJoCo)
Tasks
- Architect large-scale pre-training objectives for egocentric video datasets
- Develop generalizable representations of hand-object interactions
- Implement spatial-temporal dynamics learning
- Unify visual perception and natural language instructions into robotic trajectories
- Design generative action heads using Diffusion Models
- Optimize generative action heads with Flow-matching techniques
- Develop algorithms for humanoid motion alignment
- Ensure fluid and stable execution of humanoid systems
- Optimize foundation model performance with Offline RL
- Fine-tune models using high-fidelity simulations
- Translate research in scaling laws into production-ready architectures
- Enhance robot reliability and autonomy through cross-functional research
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Robotics
- Machine Learning
- Python
- PyTorch
- FSDP
- NCCL
- Diffusion Models
- Flow Matching
- Transformers
- Reinforcement Learning
- IsaacLab
- MuJoCo
Benefits
Competitive Pay
- Competitive compensation package
Informal Culture
- Energetic, collaborative team
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Flexion Robotics 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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FLFlexion Robotics
Research Engineer - Dexterous Manipulation (Egocentric Models)(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Architecting pre-training objectives for egocentric video datasets and developing hand-object interaction representations. PhD or Master's degree in Robotics or ML required. Energetic, collaborative team.
Requirements
- PhD or Master’s degree in Robotics, Machine Learning, or related field
- Strong focus on data-driven manipulation, egocentric vision, or foundation models
- Experience with Humanoid or Dexterous Manipulation
- Deep understanding of contact-rich physics
- Excellent Python knowledge
- Excellent PyTorch knowledge
- Excellent distributed training knowledge (FSDP, NCCL)
- Proven expertise in Diffusion Models
- Proven expertise in Flow Matching
- Proven expertise in Transformers
- Hands-on experience deploying learning-based controllers on real robot hardware
- Experience with Reinforcement Learning
- Experience with simulation environments (IsaacLab, MuJoCo)
Tasks
- Architect large-scale pre-training objectives for egocentric video datasets
- Develop generalizable representations of hand-object interactions
- Implement spatial-temporal dynamics learning
- Unify visual perception and natural language instructions into robotic trajectories
- Design generative action heads using Diffusion Models
- Optimize generative action heads with Flow-matching techniques
- Develop algorithms for humanoid motion alignment
- Ensure fluid and stable execution of humanoid systems
- Optimize foundation model performance with Offline RL
- Fine-tune models using high-fidelity simulations
- Translate research in scaling laws into production-ready architectures
- Enhance robot reliability and autonomy through cross-functional research
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Robotics
- Machine Learning
- Python
- PyTorch
- FSDP
- NCCL
- Diffusion Models
- Flow Matching
- Transformers
- Reinforcement Learning
- IsaacLab
- MuJoCo
Benefits
Competitive Pay
- Competitive compensation package
Informal Culture
- Energetic, collaborative team
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Flexion Robotics 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
Flexion Robotics
Industry
IT
Description
Flexion builds the intelligence layer for next-gen humanoid robots, accelerating their real-world deployment.
Not a perfect match?
- Flexion Robotics
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Robotics Research Intern(m/w/x)
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Robotics Engineer - Modeling & Sim-to-Real Transfer(m/w/x)
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