Research Intern (AML) - 2026 Start (PhD)

ByteDance; San Jose (CA); Hybrid; USD 68,191 - 97,120; Full time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

10 paid holidays per year

Paid sick time

Job summary

ByteDance is offering a PhD Internship in San Jose, California, focused on applied machine learning. Interns will work on managing centralized GPU resources and contribute to cutting-edge projects across the company's products.

Applicants should be pursuing a PhD in Computer Science, have programming proficiency in Python, Golang, or C++, and a solid understanding of distributed systems. The position offers health insurance, paid holidays, and potential housing allowance for non-remote interns.

Qualifications

• Currently pursuing a PhD in Computer Science or a related field.
• Proficiency in at least one programming language among Python, Golang, or C++.
• Solid understanding of distributed system principles.

Responsibilities

• Construct and maintain the centralized GPU computing pool.
• Collect and process GPU data across the Group.

Skills

Python

Golang

C++

MySQL

Redis

Prometheus

InfluxDB

ClickHouse

Distributed systems

Education

PhD in Computer Science or related field

Job description

Responsibilities

You will be joining our Applied Machine Learning team, a central team responsible for delivering state-of-the-art solutions powering our company's recommendations, ads, and search systems across various products such as TikTok, Douyin. We own the end-to-end ML lifecycle, from ideation and research to building, deploying, and iterating on models in production. We are looking for candidates who are passionate about solving complex problems and have a strong foundation in machine learning theory and practice.

Internship Details

We are looking for talented individuals to join us for an internship in 2026. PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

Applications will be reviewed on a rolling basis – we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

Project Responsibilities

• Responsible for the construction and operations & maintenance (O&M) of the centralized GPU computing pool, generating additional AI computing capacity through more optimized resource scheduling strategies.
• Responsible for the collection, processing, and mining of GPU data across the entire Group; leveraging data-driven insights to effectively manage overall Group-wide GPU resources, including budgeting, delivery, resource efficiency optimization, and secondary utilization (reuse).

Qualifications

Minimum Qualifications:

• Currently pursuing a PhD in Computer Science or a related field.
• Proficiency in at least one programming language among Python, Golang, or C++, with good coding practices and solid programming skills.
• Proficient in common storage and middleware systems such as MySQL, Redis, and MQ, with practical troubleshooting and performance tuning capabilities.
• Familiar with common time-series data components such as OpenTSDB, Prometheus, InfluxDB and OLAP databases such as ClickHouse.
• Solid understanding of distributed system principles, with hands‑on experience in the design, development, and maintenance of large-scale distributed systems.
• Strong sense of responsibility, excellent learning and communication skills, highly self‑motivated, and a good team player.

Benefits

Compensation: Hourly rate range for this position is $60 per hour.

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 first half of year, 40 if hired in second half). 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.

Equal Employment Opportunity

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.