Search by job, company or skills

T

Machine Learning Engineer, Business Integrity

3-6 Years
SGD 10,000 - 20,000 per month
Save
new job description bg glownew job description bg glownew job description bg svg
  • Posted 16 hours ago
  • Be among the first 10 applicants
Early Applicant

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

Competitive compensation

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:

- Be responsible for content understanding of commercial products, such as ads, e-commerce, short video, and live streaming.

- Be responsible for data mining, feature engineering, and building scalable machine learning models to establish monetization ecology.

- Optimize computational efficiency and improve stability of machine learning models to deal with billion scale business data.

- Based on business data, explore and implement various cutting-edge technologies, such as pre-training, self-supervised learning, few-shot learning, etc.

- Explore state-of-the-art AIGC techniques and build a new generation of AIGC-based monetization ecology systems.

Minimum Qualification(s):

- Master's degree and above in Computer Science, Computer Engineering or other relevant majors.

- 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

More Info

Job Type:
Industry:
Function:
Employment Type:

Job ID: 146614285