Senior Research Scientist - Machine Learning System

ByteDance; San Jose (CA); On-site; USD 212,800 - 387,600; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Parental leave

Disability insurance

Wellbeing benefits

Paid holidays

Job summary

ByteDance Technology in San Jose is seeking a Senior Research Scientist to lead machine learning system development. You will help build and optimize large-scale distributed ML training and inference infrastructure, integrating GPU/NPU/RDMA and storage to run complex models reliably.

Join a global team and contribute to cutting-edge LLM/AI system work while enhancing performance analysis, distributed systems, and decision-making processes across multiple regions.

Qualifications

• Bachelor's degree or above in computer/electronics/automation/software, etc.
• Proficient in C/C++, algorithms and data structures; familiar with Python.
• Understand basic principles of deep learning and PyTorch frameworks.

Responsibilities

• Develop and optimize LLM inference framework.
• Improve GPU/CUDA performance to create a high-performance LLM inference engine.

Skills

C/C++

Python

Algorithms & data structures

Deep learning basics

PyTorch

Education

Bachelor's degree

Tools

TensorRT-LLM

ORCA

VLLM

Job description

Senior Research Scientist - Machine Learning System

Location: San Jose

Team: Technology

Employment Type: Regular

Job Code: A103221A

Responsibilities

The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI. In our team, you'll have the opportunity to build the large scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running stably and reliably, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You'll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction.

• Responsible for developing and optimizing LLM inference framework.
• Responsible for GPU and CUDA Performance optimization to create an industry-leading high-performance LLM inference engine.

Qualifications

• Minimum Qualifications:
  • Bachelor's degree or above, major in computer/electronics/automation/software, etc.
  • Proficient in C/C++, proficient in algorithms and data structures, familiar with Python.
  • Understand the basic principles of deep learning algorithms, be familiar with the basic architecture of neural networks and understand deep learning training frameworks such as Pytorch.
• Preferred Qualifications:
  • Proficient in GPU high-performance computing optimization technology on CUDA, in-depth understanding of computer architecture, familiar with parallel computing optimization, memory access optimization, low-bit computing, etc.
  • Familiar with TensorRT-LLM, ORCA, VLLM, etc.
  • Knowledge of LLM models, experience in accelerating LLM model optimization is preferred.

Job Information

The base salary range for this position in the selected city is $212,800 - $387,600 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

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).

Fair Chance Ordinance (Los Angeles County)

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:

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

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