Posted:
10/13/2024, 4:20:23 PM
Experience Level(s):
Internship
Field(s):
AI & Machine Learning
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
Job Details
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more of the following fields:
Conversational AI
Multimodal Data Intelligence
Multimodal Content Generation
Fundamentals of Machine Learning and AI
Responsible & Trusted AI
Natural Language Processing
Areas of Application:
Software Intelligence
AI for Operations
AI for Availability & Security
Environment & Sustainability
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:
Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference
Learn about exciting research and applications outside your expertise
Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community
Attend conferences with our researchers to showcase your accepted papers
Requirements:
PhD 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
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. 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. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all.
Website: https://www.salesforce.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 10001+
Year Founded: 1999
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Apps ⋅ Cloud Computing ⋅ CRM ⋅ Enterprise Software ⋅ Information Technology ⋅ iOS ⋅ Mobile Apps ⋅ SaaS ⋅ Sales Enablement ⋅ Software