Overview
Adobe Research is currently seeking a Senior Research Scientist specializing in reinforcement learning, particularly in multi-armed bandits and sequential decision-making. This role presents a unique opportunity to join a distinguished team of researchers at Adobe’s Data Science Lab (DSL) in San Jose, California. The position is designed for an established researcher ready to contribute to cutting-edge advancements in AI and machine learning.
Background & Relevance
Reinforcement learning is a pivotal area within artificial intelligence, focusing on how agents can learn to make decisions through trial and error. This field has gained significant traction due to its applications in various domains, including robotics, gaming, and automated decision-making systems. The importance of reinforcement learning continues to grow as industries seek innovative solutions to complex problems, making this position vital for advancing research and development in this area.
Key Details
- Position: Senior Research Scientist in Reinforcement Learning
- Location: San Jose, California
- Key Areas: Multi-armed bandits, reinforcement learning, sequential decision-making, optimization, game theory
- Application Email: dsl-opportunities@adobe.com
Eligibility & Participation
Candidates should possess a PhD in Machine Learning, Artificial Intelligence, or a related field, along with a minimum of five years of relevant experience. This role is targeted at experienced researchers who have made significant contributions to the field and are recognized by their peers.
Submission or Application Guidelines
Applicants are required to submit a brief description of their research interests and experience, along with a CV that includes academic degrees, relevant publications, and references. Applications should be sent directly to the provided email address.
Additional Context / Real-World Relevance
Adobe Research is renowned for its contributions to AI and machine learning, with a strong emphasis on practical applications that enhance Adobe’s product offerings. The DSL team collaborates with leading universities and engages in high-impact research, making this position not only a career opportunity but also a chance to influence the future of technology in a major software company.
Conclusion
This is an exciting opportunity for qualified researchers to join a leading team at Adobe Research. Interested candidates are encouraged to apply and contribute to the ongoing advancements in reinforcement learning and its applications in real-world scenarios.
Category: Academic Jobs
Tags: reinforcement learning, machine learning, adobe research, multi-armed bandits, sequential decision-making, data science, AI, computer vision, deep learning
