About the Role
The role involves conducting cutting-edge research in artificial intelligence, developing new models and methodologies, and contributing to scalable AI systems with real-world impact.
Responsibilities
- Conduct advanced research in artificial intelligence and machine learning
- Develop novel algorithms and model architectures
- Collaborate with cross-regional teams on technical challenges
- Publish findings in top-tier academic venues
- Translate research prototypes into production-grade systems
- Identify opportunities for innovation in AI applications
- Work closely with engineering teams to deploy solutions
- Evaluate model performance and optimize for efficiency
- Stay current with advancements in the AI research community
- Contribute to the design of large-scale training frameworks
- Participate in peer reviews and technical discussions
- Mentor junior researchers and team members
- Ensure ethical considerations in AI development
- Support open-source initiatives where applicable
- Integrate feedback from real-world deployment scenarios
Nice to Have
- Postdoctoral research experience
- Industry experience in AI product development
- Contributions to open-source machine learning projects
- Experience with multi-modal AI systems
- Familiarity with model interpretability techniques
- Knowledge of edge computing for AI
- Experience mentoring research teams
- Background in mathematical optimization
- Worked on energy-efficient AI training
- Published in venues such as NeurIPS, ICML, or ICLR
Work Arrangement
Hybrid
Work Arrangement
Hybrid
Team
Structure: distributed between Europe, the USA and Asia
