Research Scientist - Salesforce Research, Inc. Palo Alto, CA
Job CategoryProducts and Technology

Job Details

Research Scientist

Salesforce Research (MetaMind) is looking for extraordinary research scientists.

As a research scientist, you discover new research problems, develop novel models, design careful experiments and generally advance the state of the art in AI. At Salesforce, the research team is committed to collaboration with the wider research community; while research scientists have the opportunity to work directly on advancing technologies that customers use as part of the Einstein AI Platform, they may also focus exclusively on publications. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and, in turn, scientific breakthroughs can spawn entirely new applications. With this in mind, the team maintains a portfolio of projects, some with an immediate path to production, others that may not find an application for several years. Research scientists have the freedom to set their own research agenda and move between pure and applied research.

You have a strong background in one or more of the following fields: deep learning, machine learning, natural language processing, computer vision, or reinforcement learning. Additionally, applicants should have in-depth experience with problems such as text categorization, text summarization, information extraction, question answering, dialogue learning, machine translation, language and vision, image classification, image segmentation, or object detection.


* Work on cutting-edge research in machine learning.

Minimum qualifications

* MA/MS or PhD degree in computer science, artificial intelligence, machine learning, or related technical field.

* Research experience or contributions in deep learning, machine learning, NLP, computer vision, reinforcement learning, or optimization.

* Experience with one or more general purpose programming languages including but not limited to: C/C++ or Python.

* Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Caffe, Chainer or PyTorch).

* Industry or academic experience in deep learning research.

* Strong publication record in top-tier conferences or journals (e.g. NIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, KDD, PAMI, JMLR, TACL, IJCV).

Posting Statement and are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. and do not accept unsolicited headhunter and agency resumes. and will not pay fees to any third-party agency or company that does not have a signed agreement with or

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