Research Scientist - Salesforce AI Research

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

About Futureforce University Recruiting

Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.

Job Category

Products and Technology

Job Details

Salesforce AI Research is looking for outstanding research scientists.

Research scientists 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 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 opportunity to switch between pure and applied research.

Candidates have a strong background in one or more of the following fields: natural language processing, computer vision, reinforcement learning, economics, deep learning or machine learning.

Responsibilities:

• Own and pursue ambitious, long-term research goals.
• Develop solutions for real world, large scale problems.
• As needed or desired, lead teams to deliver on more complex pure and applied research projects.

Minimum qualifications:

• PhD degree in computer science, artificial intelligence, machine learning, or related technical field.
• Strong publication record in machine learning, NLP, computer vision, reinforcement learning, or optimization, especially at venues like NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, ICCV.
• 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).

Preferred qualifications:

• Full time industry experience in deep learning research/product.
• Experience mentoring and advising other researchers.
• Strong programming skills, competitive in ACM-ICPC or other competitions.
• Experience in implementing high-performance and large scale deep learning systems.
• Thoughtful about AI impacts and ethics.

Accommodations

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