AI Research Engineer - Reinforcement Learning
Tasks
- Build and evaluate large scale reinforcement learning experiments
- Define success metrics and monitor deployed reinforcement learning systems
- Design reinforcement learning algorithms for decision making
- Develop simulation environments and training datasets
- Document experimental findings and research outcomes
- Explore reinforcement learning methodologies and model architectures
- Improve policy performance convergence and sample efficiency
- Integrate reinforcement learning agents into production systems
- Optimize reinforcement learning pipelines
Perks/Benefits
- Career growth opportunities
- Flexible work culture
- Fully remote
- Global collaboration
- Innovation-focused environment
Skills/Tech-stack
Actor-critic | Deep learning | Exploration/exploitation | Group Relative Policy Optimization | Learning algorithms | Multi-Modal | Multi-modal AI | Policy Optimization | Policy gradients | PyTorch | Reinforcement Learning | Reinforcement learning algorithms
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Related jobs
-
Anomaly Detection | Data Modeling | Data Pipelines | Docker | ForecastingCareer growth | Flexible work environment | Remote workMid-level Full TimeFinland R1d ago
-
Accelerate | Deep learning | Diffusers | Distributed Systems | GPU ComputingAutonomy | Career growth opportunities | Continuous learning | Flexible work environment | Fully remoteMid-level Full TimeFinland R2d ago
-
AWS | AWS Bedrock | AWS SageMaker | Computer Vision | Data AnnotationContinuous learning and professional development | Flexible scheduling | Fully remote | Inclusive international team culture | Paid trainingMid-level Full TimeFinland R6d ago