Research Scientist, Generative AI - Privacy

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading tech company in Singapore seeks a Privacy Innovation Researcher to design and execute research on GenAI innovation. The ideal candidate holds a PhD in Computer Science and has research experience in GenAI. Responsibilities include collaborating with product teams, advocating research findings, and providing technical consulting. This role offers an opportunity to impact privacy-related innovation within a rapidly growing environment.

Qualifications

• PhD in Computer Science, a related technical field, or equivalent practical experience.
• Research experience in GenAI with a strong publication record or contributions to open-source projects.

Responsibilities

• Design and execute research on the critical industrial challenges of GenAI innovation.
• Work with product teams to understand key privacy requirements.
• Advocate research findings to diverse audiences through written reports and verbal presentations.

Skills

Research in GenAI

Technical consulting on privacy features

Presentation skills

Collaboration with engineering teams

Education

PhD in Computer Science or related field

Job description

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

At TikTok, we treat privacy as our top priority in our product design and implementation. Privacy is not just about regulation compliance, but also about a more trusted way to enable technology innovation by respecting users’ privacy choices!

Privacy Innovation (PI) Lab is established to explore the next frontier of privacy technology and theory in the digitalized world. We provide key insights and technical solutions on privacy-related innovation for all TikTok’s products. Furthermore, we also collaborate with worldwide technical and academic communities to build an open ecosystem to promote a privacy-friendly digital experience.

• Design and execute research on the critical industrial challenges of GenAI innovation.
• Work with product teams to understand key privacy requirements from the TikTok product family and provide technical consulting on privacy-related features.
• Work with engineering teams to apply technical achievements from our research to product prototyping.
• Advocate research findings to diverse audiences through written reports and verbal presentations.
• Represent PI Lab and our work in the external technical and academic community.

Qualifications

Minimum Qualifications

• PhD in Computer Science, a related technical field, or equivalent practical experience.
• Research experience in GenAI with a strong publication record or contributions to open-source projects.

Preferred Qualifications

2 years of research or production experience in the following areas:

• Pretraining, fine-tuning, and post-training
• Responsible AI, privacy-preserving LLMs, and LLM alignment
• Reinforcement learning for tuning language models
• Efficient training and inference techniques