Research Engineer Intern (TikTok Generalized Arch) - 2027 Start (PhD)

Digitailor; San Jose (CA); Hybrid; USD 34,000 - 55,000; Full time

Benefits offered by this job

Internship program

Research collaboration

Job summary

Our Company invites PhD students to join a Generalized Architecture AI internship focused on designing and implementing data algorithms for scalable, future-proof AI systems. You will contribute to Data Preparation, Data Agent, Data Governance, and large-scale analysis while collaborating with a world-class research team.

The program emphasizes hands-on learning, research publishing, and professional development events.

Qualifications

• Pursuing a PhD in CS or related field.
• Multiple publications at top-tier conferences.
• Proficiency in AI, LLM, and ML; experience in large-scale data analysis.

Responsibilities

• Design and implement AI for Data algorithms in the Agent era, including Data Preparation, Data Agent, large-scale Data Analysis, and Data Governance.
• Implement algorithms and optimization for large-scale services.
• Identify requirements and optimization opportunities from real business scenarios; continuously improve algorithms and systems.
• Publish high-quality papers at top-tier conferences.

Skills

AI/ML

Data analysis

Publications

Communication

Education

PhD in Computer Science

PhD in related discipline

Job description

TikTok Generalized Architecture team focuses on building scalable, reusable, and future-proof technical foundations that support a wide range of TikTok products and business scenarios. The team is responsible for designing and evolving core architecture, improving system performance and reliability, and enabling engineering efficiency through standardized platforms and infrastructure. By abstracting common capabilities and solving cross-domain technical challenges, the team helps accelerate product innovation while ensuring long-term scalability and robustness. We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

Responsibilities

• Design and implement AI for Data algorithms in the Agent era, including but not limited to Data Preparation, Data Agent, large-scale Data Analysis, and Data Governance.
• Implement algorithm and optimization, with the capability to support large-scale services.
• Identify the requirements and optimization opportunities from real business scenarios, and continuously improve algorithms and systems.
• Publish high-quality papers at top-tier conferences.

Qualifications

• Minimum Qualifications - Currently pursuing a PhD in Computer Science or a related discipline.
• Multiple publications at top-tier conferences in relevant fields.
• Proficiency in AI, LLM, and machine learning algorithms; Experience in large-scale data analysis and R&D of related algorithms.
• Strong hands-on execution and communication skills.
• Preferred Qualifications - Experience in Data Preparation, Data Agent, Data Analysis, and Data Governance, etc, is a plus.