Applied Machine Learning Enterprise Team Intern

Job Description

Here is the detailed, enriched job description for the Applied Machine Learning Enterprise Team Internship at ByteDance:

About the Job: Applied Machine Learning Enterprise Team Internship (Summer 2026)

The Applied Machine Learning Enterprise team at ByteDance combines system engineering and machine learning to develop and operate massively distributed machine learning training and inference systems and services. These systems are designed to serve both big model vendors and users around the world.

As an intern with our engineering team, you’ll have the unique opportunity to build and enrich your expertise in coding, performance analysis, and large system management. You will also get heavily involved in the crucial process of hardware/capacity decision-making. This role involves building large-scale heterogeneous systems integrating with GPU, RDMA, and Storage to ensure their stability and reliability.

We are actively seeking talented individuals for a 12-week internship in 2026, starting in May/June. Internships at ByteDance are designed to provide students with industry exposure, hands-on experience, and a chance to develop fundamental skills while exploring potential career paths. You’ll utilize your knowledge in real-world scenarios, laying a strong foundation for personal and professional growth. A vibrant blend of social events and enriching development workshops will also be available.

Key Responsibilities:

• Building a next-generation big model as a service platform to serve hundreds of LLMs based applications.
• Developing and maintaining the big model as a service platform, including offline training/finetuning, online inference, model management, and resource orchestration, etc.
• Managing a huge number of GPU resources and providing computing power efficiently.

Minimum Qualifications:

• Must be able to commit to a 12-week full-time work period during Summer 2026.
• Currently pursuing a BS/MS degree in Computer Science or a related technical field.
• Proficient in deep learning frameworks such as PyTorch or TensorFlow.
• Experience with software development in at least one of the following programming languages: C++, Python, Go.
• Good sense of teamwork and communication skills; practical experience in relevant business scenarios is preferred.
• Strong software programming capabilities, exhibiting good code design and coding style.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Experience in NLP and LLM technologies.
• Experience or research in Alignment for Large Language Models.
• Experience in ModelOps, for example, large model management, finetuning workflow management, etc.
• Contribution to top-tier conference papers, including NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, etc., is a big plus.

Job Information:

【For Pay Transparency】Compensation Description (Hourly) – Campus Intern

The hourly rate range for this position in the selected city is $42.75 – $57.

Benefits:
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in the first half of the year, 40 if hired in the second half of the year). Interns who are not working 100% remote may also be eligible for housing allowance. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Internship Start Dates (Select one for Summer 2026):

• 5/11/2026
• 5/18/2026
• 5/26/2026
• 6/8/2026
• 6/22/2026

Please state your availability clearly in your resume (Start date, End date).

Application Process:
Applications will be reviewed on a rolling basis. We encourage you to apply early. 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. Candidates who pass resume evaluation will be invited to participate in ByteDance’s technical online assessment through CodeSignal.

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.

Reasonable Accommodation:
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.