Twitter Internship Programs (Global) 2022 for Graduate Students

Applications for Twitter Internship Programs 2022 now open for for Undergraduate/Graduate Students.

#Terns Twitter Internship (12 weeks Global):

The Twitter Internship Program is a 12-week experience for third year undergraduate students and graduate students to gain direct exposure to the day-to-day of the company. From engineering, to marketing, and finance, we welcome students from all educational backgrounds with various professional interests to apply.

Eligibility:

• – At least 18+ and currently enrolled in a three – four year academic institution working on an undergrad, masters, MBA or PhD degree 
• – Interns should also be able to complete the full virtual 12-week internship program
• – Eligible for full-time role following your next & final year of school or upon completion of your internship

Value of Twitter Internship:

• – Monthly Day of Rest
• – Mentorship opportunities with our Business Resource Groups and former Terns
• – Leadership exposure
• – Development workshops
• – Cohort communities 
• – Fun virtual social events
• – Opportunities to network with Tweeps and interns across the globe
• – Accrued vacation and sick leave 
• – Access to an online platform for self help courses, personal coaching, and licensed therapy
• – Access to a self-guided app with courses to build resilience and reduce stress

PhD Student Twitter Internship (EMEA 3-6 months)

During your 3 or 6 months as a Twitter PhD Intern, you will put your PhD research and specialized expertise will be put towards a specific Twitter project. You will have opportunities to present / demo your research internally and, depending on project / results, you will be able to publish a paper on your work at the end of your internship. 

Eligibility:  

• – Pursuing a PhD degree in ML or relevant field graduating on or after August 2022
• – Working on publications in the field of AI / Machine Learning, Natural Language Processing / Understanding, Computer Vision, or other applied ML fields
• – Proficient with the Python ML stack (pandas, jupyter, tensorflow, etc)
• – Good understanding of software engineering fundamentals such as data structures, algorithms, testing, etc.

How to Apply:

• EMEA (Europe, Middle East, and Africa): Apply
• JAPAC (Japan and Asia-Pacific): Apply
• NALA (North and Latin America): Apply

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