Sr. Research Scientist, Reinforcement Learning
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The Data Science Lab (DSL) at Adobe Research, San Jose, is looking to hire an established researcher in the broad area of multi-armed bandits, reinforcement learning, sequential decision-making, and probabilistic planning. The successful candidate should have credentials that are preferably at the senior research scientist level. This is an opportunity to work alongside an established world class team of researchers with expertise in reinforcement learning, sequential decision making, multi-armed bandits, optimization, game theory, sketching and streaming algorithms, causation, counterfactuals and imagination-based AI. DSL has an excellent publication record with dozens of papers at top-tier machine learning and AI conferences and journals in recent years. Over the past few years, Adobe has had a world class team in RL, with a highly successful track record of publications in top AI and ML conferences.
With more than 170 world-class research scientists and engineers, Adobe Research blends cutting-edge academic discovery with industry impact. Our scientists are provided with the resources, support, and freedom to shape their ideas into innovative technologies. They collaborate with colleagues at over fifty universities, often presenting their work at top-tier international conferences. Many of our researchers' discoveries are incorporated into Adobe's products, building the company's reputation as a pioneer in content and data intelligence.
Adobe is one of the largest software companies in the world, and a market leader in three major areas: Creative Cloud (Photoshop, Illustrator, Spark etc.), Document Cloud (PDF and related software), and the Digital Experience Cloud (including Adobe Audience Manager, Adobe Analytics, Target, and Campaign). Adobe Experience Cloud (http://www.adobe.com/experience-cloud.html) is one of the largest data collection platforms in the world, managing the content, customer intelligence, and digital marketing for most Fortune 500 companies. Adobe Digital Experience cloud processes trillions of transactions per year, involving hundreds of petabytes of data, and offers unparalleled opportunities for exploring web scale solutions for AI and machine learning.
- Help drive the technical agenda in reinforcement learning and related topics.
- Responsible for providing technical leadership across multiple teams, by understanding the technical space deeply enough to help guide corporate strategy or business unit strategy, or by providing innovations that fuel the growth of Adobe.
- Be able to lead cross functional working groups or initiatives or provide consulting/advice to other departments or groups within the company
- Partner with the already existing research teams at Adobe, including world class experts in computer vision, deep learning, NLP, graphics, and HCI
- Provide critical analysis of issues for continuous improvement of technology, process and team productivity
- Act as an industry evangelist, internally and externally. Engage with the research community at large, including university collaborations, intern recruiting and mentorship, and publishing and participation in top-tier conferences.
- Five or more years of experience and a PhD in Machine Learning, Artificial Intelligence or related field
- Prior experience in the development of current or future products or technologies
- Recognized by peers in industry, academia or the research community
- Recognized technical expertise includes but not limited to publications, editorial and advisory boards, conference/symposium presentations, patents, professional peer recognition and strategically important developments, innovations, or technical contributions
- Demonstrated experience in mentoring and coaching interns, and junior technical contributors.
The application should include a brief description of the applicant's research interests and experience, plus a CV that contains the degrees, relevant publications, names and the contact information of references, and other relevant documents.
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
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