Website Salesforce
Job Details
**By applying to this job posting you will be considered for both Salesforce Research and Tableau Research**
Salesforce Research:
Salesforce Research 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
– Medical AI
– AI Ethics
– Economics
Applied to, for example: text categorization, text summarization, information extraction, question answering, dialogue systems, machine translation, language and vision, image classification, object detection, image generation and editing, 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, GAN, 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.
Tableau Research:
The vision for Tableau Research is to operate as a world-class industry research lab where we partner with internal teams and academia to foster innovation and serve as thought leaders, advancing the state of the art in data and analytics. Research topics include visual analytics, data visualization, data preparation, human computer interaction, statistics, machine learning, natural language processing, search, as well as presentation and collaboration with data.
A research internship typically consists of a project that is mutually discussed and agreed upon between the intern and their mentor. The goal of the project is to help further the intern‡s research career and inspire Tableau & Salesforce with new ideas for future product roadmaps. A research internship also provides excellent opportunities for exploring industry research, gain insights into product development, and publishing work at top academic conferences.
What you‡ll be doing…
As a research intern you will work closely with a mentor who is a member of Tableau Research. You will typically meet daily with your mentor to coordinate, plan, and help set expectations. You will be asked to present and provide updates a few times at our team meetings. Research typically involves designing and/or prototyping, along with possible user studies. You will be expected to create a final presentation and write-up of the project. Often, the project evolves into co-authoring an academic paper that could extend beyond the internship period.
Who you are…
Passionate about research. You are a PhD student in good academic standing with at least a couple years of research and publishing experience at high-quality conference and journal venues. In the past, interns have published at venues such as VIS, EuroVis, TVCG, CHI, CSCW, UIST, IUI, DIS, KDD, SIGMOD for example. Having previous internship experience is a plus, but not a requirement.
Aligned with our mission. Your research passion aligns with Tableau‡s mission to help people see and understand data.
An effective communicator. You have clear written and oral communication skills.
Highly technical. If your project involves prototyping, you have strong technical skills to prototype in a language of your choice, e.g., D3/JavaScript, Python, R, C++, C#, Java, Go. If your project is study-focused, you have strong experience with setting up user studies, collecting, analyzing, and distilling qualitative and quantitative data. If your project is oriented towards statistics, you have strong computational skills and experience in statistical modeling, including data wrangling, model validation, and uncertainty assessment.
A proficient designer. If your project involves prototyping user interfaces, you have a portfolio of UX / interaction / visualization design examples.
