Overview
Adobe Research is currently seeking a Senior Research Scientist specializing in reinforcement learning and related fields. This role is pivotal for advancing research in multi-armed bandits, sequential decision-making, and probabilistic planning. The successful candidate will join a renowned team of researchers, contributing to Adobe’s legacy of innovation in AI and machine learning.
Background & Relevance
Reinforcement learning (RL) is a critical area within artificial intelligence that focuses on how agents ought to take actions in an environment to maximize cumulative reward. This field has seen significant advancements and applications across various domains, including robotics, game playing, and optimization problems. Adobe Research’s commitment to RL is underscored by its impressive publication record and the integration of research findings into practical applications, enhancing the company’s suite of products and services.
Key Details
- Position: Senior Research Scientist
- Location: San Jose, California
- Research Areas: Multi-armed bandits, reinforcement learning, sequential decision-making, probabilistic planning
- Application Email: dsl-opportunities@adobe.com
Eligibility & Participation
Candidates should have a PhD in Machine Learning, Artificial Intelligence, or a related field, along with a minimum of five years of relevant experience. This position is designed for established researchers who have made significant contributions to the field and are recognized by their peers.
Submission or Application Guidelines
To apply, candidates must submit:
– A brief description of their research interests and experience
– A CV detailing degrees, relevant publications, and contact information for references
– Any other pertinent documents
Applications should be sent to the provided email address.
Additional Context / Real-World Relevance
Adobe Research is at the forefront of integrating academic research with industry applications. The successful candidate will not only contribute to theoretical advancements but also play a key role in shaping technologies that impact millions of users worldwide. The role emphasizes collaboration across various research domains, including computer vision, deep learning, and human-computer interaction, making it a unique opportunity to influence diverse projects.
Conclusion
This is an exciting opportunity for seasoned researchers to join a leading organization in AI and machine learning. Interested candidates are encouraged to apply and contribute to Adobe’s mission of innovation in technology. Explore this opportunity to be part of a world-class team driving advancements in reinforcement learning.
Category: Academic Jobs
Tags: reinforcement learning, machine learning, adobe research, multi-armed bandits, sequential decision-making, probabilistic planning, data science, AI research
