Software Engineer, Large Model System Graduate (Machine Learning Sys-US) - 2026 Start (BS/MS)

Responsibilities

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 ByteDance.

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

The Applied Machine Learning - Machine Learning Systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and advanced chip technology and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion, language modeling and multi-modality models. The team is also responsible for the research and development of hardware acceleration technologies for cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large-scale language models.


Responsibilities
- Responsible for the machine learning system development of the company's large-scale models, researching new applications and solutions of related technologies in areas such as search, recommendation, advertising, content creation, conversation, and customer service, meeting the growing demand for intelligent interaction from users, and comprehensively improving users' lifestyles and communication methods in the future world.

The main work directions include:
- Responsible for the design and development of the architecture of large-scale machine learning systems, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system.
- Covering various sub-directions of machine learning system, including resource scheduling, model training, model inference, data management, and workflow
- Iterate and develop the system using customer-driven scenarios.

Qualifications

Minimum Qualifications
- Final year or recent graduate with a background in Computer Science, related technical field or equivalent industrial experience
- Master distributed, parallel computing principles; know the recent advances in computing, storage, networking, and hardware technologies;
- Familiar with the state-of-the-art machine learning algorithms and mainstream platforms (e.g., Tensorflow, Pytorch, MxNet);
- Master at least one or two programming languages in Linux environment such as C/C++, Go, Python, etc;

Preferred Qualifications
- Winners of ACM/ICPC, NOI/IOI and other competitions
- Familiar with NLP, CV-related algorithms, and technologies, and experienced in large model training
- Experience in GPU based high-performance computing
- Demonstrated a related technical experience from previous internship, work experience, coding competitions, or publications
- Curiosity towards new technologies and entrepreneurship
- High levels of creativity and quick problem-solving capabilities

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Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $106400 - $168150 annually.​

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​

For Los Angeles County (unincorporated) Candidates:​

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