AI Machine Learning Engineer Graduate (Search) - 2026 Start (PhD)

ByteDance; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

ByteDance seeks a PhD-qualified researcher/engineer for its Algorithm team in Singapore. You will work on NLP, cross-modal matching, and large-scale ML for search and recommender systems in a cutting‑edge tech environment.

You will contribute to building a full-stack search engine with state‑of‑the‑art ML methods, and collaborate across teams to deliver impactful results. Applicants should demonstrate strong publications and practical ML deployment experience.

Formación

• PhD in CS/EE or related field is required or recently completed.
• Proficient coding in C++, Python, and Java.
• Strong knowledge of machine learning and practical experience.

Responsabilidades

• Explore cutting-edge NLP technologies and apply deep learning models across the pipeline.
• Develop and optimize cross-modal matching for multimodal search.
• Leverage large-scale streaming ML for personalized recommendations in search.
• Design architectures for data at scale and high-throughput online services.
• Contribute to research on high-impact search and recommender systems.

Conocimientos

C++

Python

Java

Machine Learning

NLP

Git

Educación

PhD in Computer Science or related field

Herramientas

Git

Descripción del empleo

Location:

Team:

Algorithm

Employment Type:

Regular

Job Code:

A20660

Job Information

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.

As ByteDancers, 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. 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

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

Team Introduction

Our Search Team is responsible for building and owning our search engine which provides our users the best search experience. On the Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machinelearning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Responsibilities

• - Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.
• - Cross-Modal Matching Technologies: Applying deep learning techniques that combine Computer Vision (CV) and Natural Language Processing (NLP) in search, we aim to achieve powerful semantic understanding and retrieval capabilities for multimodal video search.
• - Large-Scale Streaming Machine Learning Technologies: Utilising large-scale machine learning to address recommendation challenges in search, making the search more personalized and intuitive in understanding user needs.
• - Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
• - Recommendation Technologies: Leveraging ultra-large-scale machine learning to build industry-leading search recommendation systems and continuously explore and innovate in search recommendation technologies.

Qualifications

• - Minimum Qualifications:- Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• - Proficient coding skills and strong algorithm & data structure using C++/Python/Java.
• - Have a solid knowledge of machine learning and practical experience in applying it.

Preferred Qualifications

• - Effective communication and teamwork skills.
• - Modeling experience in one or more of the following areas: Ads, Search engine, Recommender System, NLP/CV.
• - Have a solid foundation in algorithms related to LLMs, including but not limited to comprehensive learning and practical experience in areas such as single-modal/multi-modal LLM application and deployment.
• - Strong publications record in top conferences or journals（e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, NAACL, CVPR, ICCV and ECCV）.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacyIf you have any questions, please reach out to us at [e-mail]