Research Intern (AML) - 2026 Start (PhD) San Jose

ByteDance; San Jose (CA); On-site; USD 30,000 - 45,000; Full time

Job summary

ByteDance is seeking intern candidates to join its Applied Machine Learning team in San Jose, California. You'll work on GPU resource management and contribute to our end-to-end machine learning solutions for products like TikTok.

The ideal candidate is pursuing a PhD in Computer Science with strong programming skills in Python, Golang, or C++. Responsibilities include optimizing GPU computing resources and leveraging data insights for efficiency.

This internship is an excellent opportunity for those passionate about machine learning and AI.

Qualifications

• Currently pursuing a PhD in Computer Science or a related field.
• Proficiency in at least one programming language (Python, Golang, or C++).
• Proficient in storage and middleware systems (MySQL, Redis).
• Familiar with time‑series data components (OpenTSDB, Prometheus).
• Solid understanding of distributed systems.

Responsibilities

• Construct and maintain centralized GPU computing pool.
• Manage budgeting and resource efficiency for GPU resources.

Skills

Python

Golang

C++

MySQL

Redis

MQ

OpenTSDB

Prometheus

InfluxDB

ClickHouse

Education

Currently pursuing a PhD in Computer Science or a related field

Job description

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

Location: San Jose

Team: Technology

Employment Type: Intern

Job Code: A49635

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.

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).

We are looking for talented individuals to join us for an internship in 2026.

Qualifications

• Currently pursuing an 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 (e.g., OpenTSDB, Prometheus, InfluxDB) and OLAP databases (e.g., 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.

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.