Student Researcher (Doubao (Seed) - LLM Foundation Research)

bytedance

| San Jose, California, USA (Hybrid) | Internship | 6 months ago

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Job Summary

This Student Researcher position focuses on researching and building LLMs for applications in search, recommendation, advertising, content creation, and customer service. Responsibilities include post-training LLM improvements using reinforcement learning, reward modeling, scalable oversight, and interpretability enhancements. The LLM Horizon involves reasoning and planning improvements, data synthesis, advanced decoding strategies, robust evaluation methodologies, and the integration of tools and APIs. The role offers flexibility in duration, time commitment, and location (onsite or remote, part-time or full-time). Strong publication record at leading conferences and excellent coding skills are required.

Must Have

PhD in CS/related field
Strong LLM knowledge
Reinforcement Learning expertise
Publication record
Excellent coding skills (Python)
Good communication skills

Good to Have

Deep RL/NLP experience
Creativity and problem-solving
Experience from internships/competitions

Perks & Benefits

Health insurance
Life insurance
Wellbeing benefits
Paid holidays
Paid sick time

Job Description

Responsibilities

Team Introduction This position is responsible for researching and building the company's LLMs. The role involves exploring new applications and solutions for related technologies in areas such as search, recommendation, advertising, content creation, and customer service. The goal is to meet the increasing demand for intelligent interactions from users and to significantly enhance their lifestyle and communication in the future. The Student Researcher position provides unique opportunities that go beyond the constraints of our standard internship program, allowing for flexibility in duration, time commitment, and location of work. The Student Researcher program offers a flexible format that can accommodate both Onsite and Remote arrangements, as well as Part-Time or Full-Time commitments, depending on the needs of the project and the researcher. We are looking for talented individuals to join us for a Student Researcher opportunity in 2025. Student Researcher opportunities aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: 1. LLMPost Training - Reinforcement Learning from Human Feedback: Design advanced reinforcement learning algorithms for large language models by integrating technologies such as heuristic-guided search, multi-agent reinforcement learning, and other related techniques. - Reward modeling: Formulate a novel reward modeling methodology aimed at significantly enhancing robustness, improving generalization capabilities, and increasing overall accuracy. - Scalable Oversight: Develop scalable oversight mechanisms that enable efficient monitoring and control of LLMs as they grow in size and complexity, ensuring consistent alignment with predefined objectives. - Interpretability in LLMs: Focus on enhancing the interpretability of language models, ensuring that their decision-making processes and outputs are transparent and understandable to users and stakeholders. 2. LLM Horizon - Reasoning and planning for foundation models. Enhance reasoning and planning throughout the entire development process, encompassing data acquisition, model evaluation,pretraining, SFT, reward modeling, and reinforcement learning, to bolster overall performance. - Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of foundation models in various stages (pretraining, SFT, RLHF). - Solve complex tasks via system 2 thinking, leverage advanced decoding strategies such as MCTS, A*. - Investigate and implement robust evaluation methodologies to assess model performance at various stages, unravel the underlying mechanisms and sources of their abilities, and utilize this understanding to drive model improvements. - Teach foundation models to use tools, interact with APIs and code interpreters. Build agents and multi-agents to solve complex tasks.

Qualifications

Minimum Qualifications - Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, or related technical field. Excellent knowledge of theory and practice of Large Language Models, Reinforcement Learning, Natural Language Processing, Machine Learning. - Strong publication record at leading conferences (NeurIPS, ICML, ACL, EMNLP etc.). - Excellent coding ability, familiar with data structures, and fundamental algorithm skills, proficient in Python, winners of competitions such as ACM/ICPC, USACO/NOI/IOI, Top Coder, Kaggle, etc. are preferred. - Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress. Preferred Qualifications - Demonstrated Deep Reinforcement Learning or Natural Language Processing, Machine Learning experience from previous internships, work experience, coding competitions, or publications. - High levels of creativity and quick problem-solving capabilities.

Job Information

About Doubao (Seed)

Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.​
With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.​

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.​
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.​
Diversity & Inclusion​
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.​

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 ​

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $60- $75. ​
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).​
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; and​
3. Exercising sound judgment.​

10 Skills Required For This Role

Team Management Communication Talent Acquisition Data Structures Game Texts Deep Learning Reinforcement Learning Python Algorithms Machine Learning

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