Research Scientist - Model Capability Boundary Exploration and AI Data Flywheel System Developm[...]

Responsibilities We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock growth. Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume. Building a next-generation big model as a service platform to serve hundreds of LLMs based applications. Develop and maintain the big model as a service platform, including offline training/finetuning, online inference, model management, and resource orchestration. Manage a huge number of GPU resources and provide computing power efficiently. Qualifications Minimum Qualifications: Currently pursuing or recently completed a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field. Research experience in one or more of the following areas: LLM post-training and alignment, model evaluation, test-time scaling, agent systems, or large-scale data curation and optimization. Demonstrated research ability through publications, substantial research projects, or internships. Ability to work independently on open-ended research problems, from problem formulation to experimental execution. Preferred Qualifications: Strong interest in foundation models and data-centric AI, particularly in how large models can improve over time through better data, feedback, and system design. Relevant directions include data flywheels, continual learning, data curation and valuation, and the co-design of algorithms and infrastructure. A strong publication record with multiple first-author papers at top-tier venues in AI, machine learning, NLP, data mining, or related fields. Internship or research experience at accredited research labs or technology companies, ideally with experience with scalable ML systems and real-world deployment, feedback loops, or human-in-the-loop pipelines. Strong motivation to connect research with practice, and to build end-to-end AI systems spanning modeling, data, evaluation, and infrastructure. Job Information Compensation: The base salary range for this position in the selected city is $202,160 - $368,220 annually. Compensation may vary outside of this range depending on qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Package; this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits: Benefits may vary by employment type and location. Employees have day one access to medical, dental, and vision insurance; a 401(k) plan with company match; paid parental leave; short-term and long-term disability coverage; life insurance; wellbeing benefits; and a set number of paid holidays and paid time off. The Company reserves the right to modify these programs at any time, with or without notice. Equal Opportunity / Accessibility: For Los Angeles County (unincorporated) candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company may consider criminal history in relation to specific job duties when extending an offer of employment. Contact for Reasonable Accommodation: ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities or other protected reasons. If you need assistance or a reasonable accommodation, please reach out to us at #J-18808-Ljbffr ByteDance