ResponsibilitiesFounded 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 UsCreation 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 Researchers specializing in Large Language Models (LLM) to join our team. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDanceSuccessful candidates must be able to commit to one of the following start dates below: 1. January 15, 20252. February 5, 20253. March 4, 20254. May 20, 20255. June 17, 20256. July 15, 20257. August 12, 20258.September 3, 2025We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to ByteDance and its affiliates' jobs globally. 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 is essential in this innovative and fast-paced team environment.QualificationsMinimum Qualifications:- 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 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 bring joy. 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 request via Request Form link. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $144000 - $250000 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 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).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.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: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; and3. Exercising sound judgment.
