About the role#
This is a paid, full-time internship based in Palo Alto. You will work on-site to support our research and analysis efforts within the Game AI domain. This role provides a structured learning environment where you will gain exposure to core technologies and strategic market analysis.
What you'll do#
- Analyze emerging application scenarios and technological trends in Game AI.
- Collect data and gather information to support team projects.
- Draft research reports based on your findings.
What you'll need#
- A background in Computer Science, Mathematics, or a related field.
- Strong business acumen.
- Proficiency in English.
- Availability for a long-term commitment of at least 6 months.
Location & details#
- Location: Palo Alto, California.
- Modality: On-site.
- Term: Rolling.
- Pay: $24.81 to $42.70 per hour.
- Benefits: Includes paid sick leave, paid holidays, and eligibility for company-sponsored medical plans for full-time interns. This role does not offer visa sponsorship and does not guarantee full-time employment upon completion.
About Tencent
Tencent is a technology company founded in 1998 and based in Shenzhen, China. It operates across several sectors including online gaming, social networking, and digital content. The company provides cloud computing, advertising, and financial services to enterprise clients. It currently employs over 89,000 people and maintains a presence in multiple international markets.
How to get in at Tencent
Applying early to Tencent gives you a distinct advantage because recruiters review applications in the order they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can submit your materials before the pile grows. It is a simple way to stay ahead of the competition during the busy recruitment cycle. Identifying the right person to contact can also change your outcome. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral. This approach often improves response rates compared to sending a resume into a general queue.
