Software Engineer Graduate

Overview

Software Engineer Graduate (Trust & Safety Algorithm Engineering) - 2026 Start (BS/MS)

Our Trust and Safety R&D team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

Our mission is to build a bridge for collaboration between algorithm models and business scenarios, and efficiently and stably apply TnS\'s algorithmic capabilities to TikTok\'s business scenarios. And let TnS\'s algorithmic capabilities cover wherever TikTok needs them.

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 TikTok.

• Work closely with business teams to optimize the integration plan for algorithm applications, improve efficiency in evaluating and using algorithm applications across various business scenarios, and reduce the cost of managing and optimizing algorithm applications in different business scenarios.
• Be responsible for the architectural design, development, and performance tuning of algorithm applications, solving technical challenges such as high concurrency, high reliability, and high scalability. Work includes multiple sub-areas: ML model training and evaluation, model optimization, model inference, model management, dataset management, workflow orchestration, etc.
• Responsible for the design and development of Machine Learning infrastructure for LLM/AIGC, etc
• Be responsible for researching and implementing cutting-edge engineering technologies related to LLM, NLP, CV.

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.

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 TikTok and its affiliates\' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Minimum Qualifications:

• Final year or recent graduate with a background in computer science or a related technical discipline.
• Familiar with one or two programming languages, such as C++, Go, or Python, and knowledgeable about CUDA or deep learning frameworks (such as PyTorch, Deepspeed, Megatron, vllm, etc.).
• Understanding of the principles of distributed systems, large-scale data processing, and parallel computing
• Interested and experienced in one or more of the following areas: machine learning, deep learning, computational acceleration, and performance optimization.
• Familiar with the ML Infrastructure of Large Model training and inference

Preferred Qualifications:

• Excellent programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.
• Research or industry experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.
• Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD
• Experiences in in-depth CUDA programming and performance tuning (cutlass, triton)
• Experience with evaluation of ML models, LLM application & agent development is desirable.
• Understanding cutting-edge LLM research and engineering (e.g., long context, multi modality, active learning, alignment research, agent ecosystem, etc.) and possess practical expertise in effectively implementing these advanced capabilities.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:

If you have any questions, please reach out to us at

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.

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.

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.

Privacy policy: By submitting an application you accept our global applicant privacy policy, available at

Job Information

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.

Seniority level: Internship

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Entertainment Providers