字节跳动多模态大模型算法实习生(视觉评测方向)-抖音研发
实习兼职A66776地点:北京状态:招聘
任职要求
1、2027届本科及以上学历在读,计算机、电子工程、数学或相关专业优先; 2、在计算机视觉、多模态学习、AIGC、机器学习或图形学等方向具备扎实基础,至少在一个方向有深入理解或项目经验; 3、具备良好的问题分析与解决能力,能够深入理解并解决大模型训练及应用中的关键问题; 4、具备良好的沟通与协作能力,积极主动,具备较强的自驱力与技术探索意愿。 加分项 1、具备多模态大模型、基础模…
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工作职责
ByteIntern:面向2027届毕业生(2026年9月-2027年8月期间毕业),为符合岗位要求的同学提供转正机会。 团队介绍:抖音研发部门负责多款大型产品的研发,包括但不限于抖音、西瓜视频、汽水音乐。加入我们,你将有机会参与亿级用户场景的开发与架构工作,使用前沿的技术助力业务一起不断成长。 1、参与构建新一代多模态大模型评测体系,覆盖3D生成、动态3D(4D)、数字人、世界模型等AIGC方向,驱动模型效果持续优化与业务规模增长; 2、基于计算机视觉(CV)、音频理解、多模态大模型(MLLM)、多模态Agent、强化学习(RLVR)等技术,构建Score Model、Reward Model等自动化评测能力,将人类感知与偏好有效建模,并融入评测闭环,提升生成模型评估与优化效率; 3、参与构建行业领先的多模态评测体系,融合元评估等方法,持续迭代评测标准与数据集构建范式,提升评测结果的可靠性、细粒度与可解释性,系统刻画模型能力边界; 4、作为算法角色,与工程和质量团队协作,将评测能力落地到实际业务场景,支撑模型训练、调优与上线决策。
包括英文材料
学历+
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
AIGC+
https://ui.adsabs.harvard.edu/abs/2023arXiv230406632W/abstract
To address the challenges of digital intelligence in the digital economy, artificial intelligence-generated content (AIGC) has emerged.
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
CVPR+
https://cvpr.thecvf.com/
ECCV+
https://eccv.ecva.net/
ECCV is the official event under the European Computer Vision Association and is biannual on even numbered years.
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