{"id":1236004,"url":"https://alion.io/job/bytedance-research-scientist-intern-video-quality-analysis-coding-strategy-2027-start-phd","title":"Research Scientist Intern (Video Quality Analysis & Coding Strategy) - 2027 Start (PhD)","company":{"id":13,"name":"ByteDance","domain":"bytedance.com","url":"https://alion.io/company/bytedance","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Feishu","truth_index":{"grade":"A","score":88,"open_postings":9843,"ghost_share":0.121,"stale_share":0,"repost_share":0.003,"time_to_fill_p50_days":291,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Python","optional":false},{"name":"AI Agents","optional":true},{"name":"C","optional":true},{"name":"FFmpeg","optional":true},{"name":"Linux","optional":true},{"name":"Machine Learning","optional":true},{"name":"Multimodal AI","optional":true},{"name":"OpenCV","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-08-05T02:54:44Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-11-05T12:45:33Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":92},"description":"岗位职责 / Responsibilities\nAbout the team\nOur team designs and optimizes the next-generation end-to-end video system (for video production, processing, delivery, and consumption) to improve the quality of experience (QoE) for our billions of users. We are looking for strong video algorithm engineers from all areas of video understanding, video processing, video coding, video streaming, and video quality assessment, etc., who have a dedication to technical excellence and a passion to build large-scale and high-performing video platforms and services.\nWe are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.\nOur dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.\nApplications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).\nResponsibilities:\n- Research and develop algorithms for end-to-end video quality optimization, combining video analysis, processing, and encoding techniques.\n- Explore and prototype solutions for video-on-demand (VOD) and live streaming scenarios, including monitoring, data analysis, and objective quality evaluation.\n- Support the design and validation of video algorithms through experiments, benchmarking, and data-driven analysis.\n- Collaborate with cross-functional teams to integrate research 成果 into production workflows and evaluate impact through online or offline testing.\n- Contribute to advancing state-of-the-art technologies in video quality optimization and large-scale video systems.\n任职要求 / Requirements\nMinimum Qualifications:\n- Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related quantitative field.\n- Solid knowledge in one or more of the following areas: video enhancement, video compression, subjective/objective video quality assessment, video streaming, or related video algorithms.\n- Strong programming skills in at least one of the following: C, C++, or Python.\n- Ability to conduct independent research and translate ideas into practical algorithmic solutions.\nPreferred Qualifications:\n- Familiarity with machine learning and image/video processing tools such as scikit-learn, OpenCV, FFmpeg, etc.\n- Familiarity with deep learning frameworks such as PyTorch or TensorFlow.\n- Exposure to multimodal large models (MLLMs) and AI agent technologies, with hands-on implementation or research experience preferred.\n- Familiarity with Linux development environments, shell scripting, distributed systems, or large-scale data processing tools such as HDFS.\n- Strong communication skills, eagerness to learn, and enthusiasm for applying cutting-edge technologies to real-world use 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