2022 Research Intern - Salesforce Research Asia

763 days ago

Location
Sydney, New South Wales, Australia
Role
Other
Contract
Internship
Salary
n/a

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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

Intern

Job Details

Salesforce Research Asia is looking for outstanding research interns . Ideal candidates have a strong background in one or more of the following fields:

- deep learning,

machine learning,
natural language processing,
computer vision,

- reinforcement learning, or

- economics

Applied to, for example: text categorization, text summarization, information extraction, question answering, dialogue systems, machine translation, language and vision, image classification, object detection, economics, biomedical sciences, etc.

Candidates that have published in top-tier conferences or journals (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR,) are preferred.

As a research intern , you will:

1. Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference

2. Learn about exciting research and applications outside your expertise

3. Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community

4. Attend conferences with our researchers to showcase your accepted papers

Requirements:

PhD/MS candidate in a relevant research area
Excellent understanding of deep learning techniques, i.e., CNN, RNN, LSTM, GRU, attention models, and optimization methods
Experience with one or more deep learning libraries and platforms, e.g. PyTorch, TensorFlow, Caffe, or Chainer
Strong background in machine learning, natural language processing, computer vision, or reinforcement learning

- Strong algorithmic problem solving skills

Programming experience in Python, Java, C/C++, Lua, or a similar language

This internship is a minimum of 12 weeks.

Candidates that have published in top-tier conferences or journals (e.g. NIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, SIGKDD, PAMI, JMLR, TACL, IJCV) are preferred.

As a research intern , you will work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference.

Requirements:

PhD/MS candidate in a relevant research area
Excellent understanding of deep learning techniques, i.e., CNN, RNN, LSTM, GRU, attention models, and optimization methods
Experience with one or more deep learning libraries and platforms, e.g. PyTorch, TensorFlow, Caffe, or Chainer
Strong background in machine learning, natural language processing, computer vision, or reinforcement learning

- Strong algorithmic problem solving skills

Programming experience in Python, Java, C/C++, Lua, or a similar language

This internship is a minimum of 12 weeks.

Accommodations

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