LLM Software Engineer/Researcher (Applied Machine Learning)- 2024 Start (PhD)

Responsibilities

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, 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.

About The Team:

The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate big model service platform that offers businesses Model-as-a-Service solutions (MaaS) to both the big model vendors and users. We are actively seeking talented Software Engineers/Researchers specializing in Large Language Models (LLM) to join our dynamic team.

Successful candidates must be able to commit to one of the following start dates below:

• January 15, 2024
• February 5, 2024
• March 4, 2024
• May 20, 2024
• June 10, 2024
• July 15, 2024
• August 12, 2024

Applications will be reviewed on a rolling basis. We encourage you to apply early.

Responsibilities:

In this role, you will be at the forefront of cutting-edge research and development of advanced techniques for MaaS solutions including model continuous pretraining, fine-tuning, evaluation, inference capabilities and also LLM application/agent development. Your primary responsibility will be to:

• Lead the creation of next-generation, high-capacity LLM platforms and innovative products.
• Work closely with cross-functional teams to plan and implement projects harnessing LLMs for diverse purposes and vertical domains.
• Maintain a deep passion for contributing to the success of large models in this innovative and fast-paced team environment.

Qualifications:

• Ph.D./Master in Computer Science, Artificial Intelligence, or a related field.
• Prior experience working with training and inference of large language models.
• Strong understanding of cutting-edge LLM research (e.g., long context, multi modality, alignment research, etc.) and possess practical expertise in effectively implementing these advanced systems.
• Proficiency in programming languages such as Python or C++ and a track record of working with deep learning frameworks (e.g., pytorch, deepspeed, etc.).
• Strong understanding of distributed computing framework & performance tuning and verification for training/finetuning/inference. Familiarity with PEFT or MoE is a plus.

Preferred Qualifications:

• Excellent problem-solving skills and a creative mindset to address complex AI challenges. Demonstrated ability to drive research projects from idea to implementation, producing tangible outcomes.
• Published research papers or contributions to the LLM community would be a significant plus.
• Experience with inference tuning and Inference acceleration. Have a deep understanding of GPU and/or other AI accelerators, experience with large scale AI networks, pytorch 2.0 and similar technologies.
• Experience with large scale machine learning systems' scheduling and orchestration, familiar with Kubernetes and Cloud Native technologies.
• Experience with deploying AI models into production environments, testing and evaluation of AI systems, LLM application & agent development is desirable.

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.

ByteDance Inc. 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.

Job Information:

Compensation Description (annually)

The base salary range for this position in the selected city is $106590 - $139650 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.

Our Company Benefits Are Designed To Convey Company Culture And Values, To Create An Efficient And Inspiring Work Environment, And To Support Our Employees To Give Their Best In Both Work And Life.