LLM Algorithm Engineer Intern - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

ByteDance; Singapore; On-site; SGD 10,000 - 17,000; Full time

Job summary

ByteDance is seeking PhD interns for 2027 in the Machine Learning team. You will work on real research directions with ownership, affecting models used at scale, and experience fast growth within a global tech company.

You will engage in cutting-edge NLP/CV research, with opportunities to publish and collaborate across teams, while benefiting from a supportive internship program and privacy compliance.

Qualifications

• Graduating with a PhD or higher in AI, CS, pattern recognition, or related fields.
• Excellent programming skills in Python and/or C++, with deep learning frameworks TensorFlow or PyTorch.
• Familiar with model architectures such as Attention, Transformer, BERT, GPT; open-source models like LLaMA, ChatGLM; experience fine-tuning.
• Strong analytical and collaborative problem-solving and communication abilities.
• Preferred: published papers, competition awards, or projects in NLP, CV, or data processing.
• Experience fine-tuning/open-source models such as Qwen and LLaMA.

Responsibilities

• Gain a deep understanding of business requirements and optimize model performance for information extraction, intent classification, and tool calling across scenarios.
• Follow the latest research in LLMs and explore new business opportunities, finding solutions aligned with business needs.

Skills

Python

C++

TensorFlow

PyTorch

Attention

Transformer

BERT

GPT

LLaMA

ChatGLM

Fine-tuning open-source models

Research

Communication

Education

PhD or higher in AI/CS related fields

Job description

Join us as we work together to inspire creativity and enrich life around the globe.

Team: Machine learning

Employment Type: Intern

Job Code: A191802B

We are looking for talented individuals to join us for an internship in 2027. As a PhD intern, you won't run experiments on toy data. Backed by ByteDance's global reach and a global payment business still in its early, fast-growing stage, you'll take real ownership of a research direction, see your models reach users at scale, and grow faster than a org would ever allow. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis . We encourage you to apply early. We support credit-bearing internship registration, subject to the intern's school requirements and company approval.

Responsibilities

• Gain a deep understanding of business requirements, utilize various post-training technologies such as SFT, RLVR, and Agent RL to optimize the performance of models for information extraction, intent classification, tool calling, etc., in scenarios such as intelligent debt collection, intelligent customer service, AIOps, thereby raising the ceiling of business results.
• Closely follow the latest research results in the LLM field, actively participate in the exploration and research of new businesses, and find the best solutions based on a full understanding of business scenarios.

Qualifications

• Minimum Qualifications:- Graduating with a PhD degree or above, majoring in related fields such as artificial intelligence, computer science, pattern recognition, etc.
• Minimum Qualifications:- Possessing excellent programming skills, proficient in at least one programming language such as Python/C++, and proficient in at least one deep learning framework such as TensorFlow/PyTorch.
• Minimum Qualifications:- Familiar with common model structures such as Attention, Transformer, BERT, GPT, and familiar with the principles and implementation of open-source large models such as LLaMA, ChatGLM. Priority will be given to those with experience in fine-tuning and training open-source models.
• Minimum Qualifications:- Excellent ability to analyze and solve problems, passionate about solving challenging problems, and good communication and teamwork skills.
• Preferred Qualifications:- Quality papers published, competition awards, or project experience related to NLP, CV, data processing, etc.
• Preferred Qualifications:- Those with experience in fine-tuning and training open-source models such as Qwen and LLaMA.
• Preferred Qualifications:- Winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, and Kaggle are preferred.

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/privacy.If you have any questions, please reach out to us at [e-mail]

Job Information

About Us

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.