Adobe Korea
페이스북
트위터
네이버
카카오톡
카카오스토리
URL
▶지원분야
• 모집부문 : 2021 Research Intern – Data Science & Machine Learning
• 업무내용 :
[Summary ]
Adobe Researchers are developing the next generation of ML algorithms, inventing a future where Adobe enables new forms of creativity, frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights. Our scientists and engineers are exploring how we can leverage big data to automate decision-making for intervention strategies and to ultimately understanding the causal structure within our world. Our technologies help enterprises better understand and strengthen large-scale digital marketing systems. Some of our research topics include:
- Real-time ML, online Learning, reinforcement learning, bandits
- Deep learning, deep reinforcement learning, and representation learning
- Next generation recommendation systems, behavioral modeling, conversational, serendipitous, cognitive bias aware
- Causal Inference, counterfactual reasoning
- Randomized experimentation, hypothesis testing
- Data-efficient machine learning - unsupervised, sketching, streaming algorithms, approximate inference
- Federated Learning of ML/DL models at the edge
- Privacy preservation
- Clustering, similarity metrics, embeddings of user trajectories
Our research labs actively publish in leading journals and conferences, invent new products, and create compelling creative tools. We are especially interested in fostering ongoing collaborations that last beyond the internship and become part of your PhD thesis.
[What you will do]
- Under the direction of an Adobe Research mentor, pursue a research problem with applicability to Adobe’s products, and with the possibility of academic publication
- Develop new algorithms, run experiments, and produce demonstration prototypes
- Document and present your work, both verbally and in writing
Adobe Researchers are developing the next generation of ML algorithms, inventing a future where Adobe enables new forms of creativity, frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights. Our scientists and engineers are exploring how we can leverage big data to automate decision-making for intervention strategies and to ultimately understanding the causal structure within our world. Our technologies help enterprises better understand and strengthen large-scale digital marketing systems. Some of our research topics include:
- Real-time ML, online Learning, reinforcement learning, bandits
- Deep learning, deep reinforcement learning, and representation learning
- Next generation recommendation systems, behavioral modeling, conversational, serendipitous, cognitive bias aware
- Causal Inference, counterfactual reasoning
- Randomized experimentation, hypothesis testing
- Data-efficient machine learning - unsupervised, sketching, streaming algorithms, approximate inference
- Federated Learning of ML/DL models at the edge
- Privacy preservation
- Clustering, similarity metrics, embeddings of user trajectories
Our research labs actively publish in leading journals and conferences, invent new products, and create compelling creative tools. We are especially interested in fostering ongoing collaborations that last beyond the internship and become part of your PhD thesis.
[What you will do]
- Under the direction of an Adobe Research mentor, pursue a research problem with applicability to Adobe’s products, and with the possibility of academic publication
- Develop new algorithms, run experiments, and produce demonstration prototypes
- Document and present your work, both verbally and in writing
• 고용형태 : 인턴
▶지원자격
• 직무관련 :
[What you will need]
- Current PhD or master's student in computer science, or related field
- Sufficient research skills and background in your chosen subject area
- Strong communication skills and teamwork experience
Passion for solving real world problems with web scale data using and inventing state of the art Machine Learning algorithms.
- Current PhD or master's student in computer science, or related field
- Sufficient research skills and background in your chosen subject area
- Strong communication skills and teamwork experience
Passion for solving real world problems with web scale data using and inventing state of the art Machine Learning algorithms.