LLM Software Engineer/Researcher

San Jose, CA, United States

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.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

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.

Responsibilities:

In this role, you will be at the forefront of cutting-edge research, development, and implementation of advanced techniques for MaaS solutions including model fine-tuning, evaluation, and inference capabilities. To ensure we have the ability to run current and future models at increasingly high scale with increasing efficiency. 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 is essential in this innovative and fast-paced team environment.

Qualifications

Qualifications:

Ph.D./Master in Computer Science, Artificial Intelligence, or a related field.

Have 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. Being familiar 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 Docker.

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. We are passionate about this and hope you are too.

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. If you need assistance or a reasonable accommodation, please reach out to us at [email protected].

Job Information:

【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $187040 - $280000 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.

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. We Offer The Following Benefits To Eligible Employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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