Research Scientist Graduates (LLM Foundation Models (Reasoning, Planning & Agent) - Doubao) - 2025 Start (PhD)

San Jose

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ByteDance

ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies.

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Responsibilities

About The Team:
Founded in 2023, ByteDance Doubao Team is dedicated to crafting the industry's most advanced LLMs. We aim to lead global research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It boasts a robust international presence with labs and research facilities in China, Singapore, and the US. Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. This model supports over 50 downstream business services including Doubao, Coze, and Dreamina, which are available to enterprise customers via the Volcano Engine. Currently, the Doubao App is the most used AIGC application in the China market.

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 Bytedance.

Successful candidates must be able to commit to an onboarding date by end of year 2025.

We 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.

Responsibilites:
1. 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.
2. 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).
3. Solve complex tasks via system 2 thinking, leverage advanced decoding strategies such as MCTS, A*.
3. 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.
4. 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 pursuing a PhD in in computer science, mathematics, engineering, or a related field
• Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred;
• Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred;
• Candidates who have led influential projects or papers in the field of large-scale models are preferred;

Preferred Qualifications:
• Excellent problem analysis and solving skills, able to deeply solve problems in large-scale model training and application;
• Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

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Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $194000 - $410000 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; and​

3. Exercising sound judgment.​

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 https://tinyurl.com/RA-request

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Tags: APIs ASR Computer Science Computer Vision Deep Learning Engineering LLMs Mathematics Model training NLP PhD Python Reinforcement Learning Research RLHF

Perks/benefits: 401(k) matching Career development Equity / stock options Health care Insurance Medical leave Parental leave Startup environment Transparency

Region: North America
Country: United States

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