Machine Learning Research Scientist, Business Integrity (SG)

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading social media platform in Singapore is looking for skilled machine learning engineers to conduct innovative research and support product development using cutting-edge techniques. Ideal candidates should have a master's degree in Computer Science and robust research experience. Join a diverse team to impact user experiences and monetization strategies. This role fosters growth in a collaborative environment.

Benefits

Positive team atmosphere

Industry experts

Qualifications

• Rich research experience in relevant fields, especially as a first author of published papers.
• Experience with state-of-the-art AIGC techniques and machine learning models.

Responsibilities

• Conduct cutting-edge research in machine learning.
• Support and incubate products using advanced machine learning techniques.

Skills

Machine Learning

Computer Vision

Natural Language Processing

Education

Master's degree 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.

Job highlights

Positive team atmosphere, Industry experts

Team Introduction

Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking machine learning engineers at all levels experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value.

Responsibilities

1. Conduct cutting-edge research in machine learning, computer vision or natural language processing.
2. Support and incubate products with machine learning, especially state-of-the-art AIGC techniques such as GPT, Stable Diffusion, etc.

Minimum Qualification(s)

1. Master's degree and above in Computer Science, Computer Engineering or other relevant majors.
2. Rich research experience in but not limited to the following areas (as the first author of published papers at CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.)

• Image/video search, classification, and recognition
• Object detection, segmentation, and tracking
• Representation learning (multi-modality, pre-training, vision transformer, etc.)
• OCR and large language models (LLM)
• Image/video/multimodal generative models