{"id":1270255,"url":"https://alion.io/job/bytedance-machine-learning-researcher-search-soaring-star-talent-program","title":"Machine Learning Researcher-Search-Soaring Star Talent Program","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":91,"open_postings":9915,"ghost_share":0.06,"stale_share":0,"repost_share":0.003,"time_to_fill_p50_days":362,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":209000,"period":"year","method":"role_country_seniority_unknown","sample_n":112},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NER","optional":false},{"name":"NLP","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2025-05-26T14:11:15Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-21T09:47:33Z","board_verified":true,"closed_at":null,"days_open":512,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":512},"description":"岗位职责 / Responsibilities\nTeam Introduction：\nThe Search Team is primarily responsible for the innovation of search algorithm and architecture research and development (R&D) for products such as Douyin, Toutiao, and Xigua Video, as well as businesses like E-commerce and Local Services. We leverage cutting-edge machine learning technologies for end-to-end modeling and continuously push for breakthroughs. We also focus on the construction and performance optimization of distributed and machine learning systems - ranging from memory and disk optimization to innovations in index compression and exploration of recall and ranking algorithms - providing students with ample opportunities to grow and develop themselves.\nThe main areas of work include:\n1. Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.\n2. Cross-Modal Matching Technologies: Applying deep learning techniques that combine Computer Vision (CV) and Natural Language Processing (NLP) in search, we aim to achieve powerful semantic understanding and retrieval capabilities for multimodal video search.\n3. Large-Scale Streaming Machine Learning Technologies: Utilising large-scale machine learning to address recommendation challenges in search, making the search more personalized and intuitive in understanding user needs.\n4. Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.\n5. Recommendation Technologies: Leveraging ultra-large-scale machine learning to build industry-leading search recommendation systems and continuously explore and innovate in search recommendation technologies.\nSpecific objectives include:\n1. Exploring the integration of large models with ranking algorithms to improve the accuracy of personalized ranking and user experience.\n2. Researching generative retrieval algorithms to solve ultra-large-scale retrieval problems in candidate libraries with tens or hundreds of billions of entries.\n3. Leveraging large language models (LLMs) to enhance search satisfaction for complex and polysemous queries.\n4. Building high-performance, low-resource-consumption large-scale batch-stream integrated retrieval and computing systems to improve resource utilization.\nChallenge:\n1. Challenges in Personalized Ranking\nTraditional ranking algorithms struggle to fully utilize multimodal information (e.g., text, images, video) and have limited model complexity, failing to meet users’ demands for precise and personalized search results.\n2. Challenges in Ultra-Large-Scale Retrieval\nIn retrieval scenarios with candidate libraries containing hundreds of billions of entries, traditional discriminative models face issues such as insufficient model capacity and low indexing efficiency, urgently requiring next-generation retrieval algorithms.\n3. Challenges in Complex Query Understanding\nUser search intents are becoming increasingly complex. Traditional search engines struggle to accurately interpret the semantics of long/complex sentences and polysemous queries, leading to low satisfaction with search results.\n4. Challenges in Resource Utilization\nThe storage-computation separation architecture of search systems results in low resource utilization. Optimizing resource usage while maintaining performance has become a critical issue.\n5. Necessity of Large Model-Based Intelligent Search\nIntroducing large model technologies is essential to address the above challenges. It can significantly enhance the semantic understanding, retrieval efficiency, and resource utilization of search systems, thereby delivering more accurate and efficient search experiences to users.\nDetails:\n1. Research on Large Models for Personalized Ranking\n2. Research on Ultra-Large-Scale Generative Retrieval Algorithms\n3. Improving Search Satisfaction for Complex Polysemous Queries Based on LLMs\n4. High-Performance Large-Scale Batch-Stream Integrated Retrieval and Computing Systems\nInvolved Research Directions:\n1. Large models for ranking\n2. Generative retrieval and cross-modal fusion\n3. Large language models (LLMs) and complex query understanding\n4. High-performance computing and storage architectures\n任职要求 / Requirements\n1. Got doctor degree. Majors in artificial intelligence, computer science, natural language processing, computer vision, and other related fields are preferred. PhD holders are preferred.\n2. Candidates with published papers at top AI conferences or in-depth research experience are preferred.\n3. Solid foundation in machine learning/deep learning algorithms and coding skills, proficient in C/C++ or Python.\n4. Intelligent, confident, dare for more, with a persistent pursuit and passion for technology.\n5. Good team communication and collaboration skills.","description_format":"text","description_chars":5182,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Recommendation Systems","Digital Media","Video & Photo Sharing"],"lifecycle":[{"event":"open","at":"2026-09-25T23:50:52Z"}],"visa":[],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.505,"p_room":0.44,"age_days":512,"expected_fill_days":362,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/bytedance-machine-learning-researcher-search-soaring-star-talent-program","json_url":"https://alion.io/job/bytedance-machine-learning-researcher-search-soaring-star-talent-program.json","meta":{"generated_at":"2026-10-21T10:48:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15260,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":13},"rest":"https://alion.io/mcp/rest/get_company?id=13"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbytedance-machine-learning-researcher-search-soaring-star-talent-program"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbytedance-machine-learning-researcher-search-soaring-star-talent-program"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbytedance-machine-learning-researcher-search-soaring-star-talent-program"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/bytedance-machine-learning-researcher-search-soaring-star-talent-program\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbytedance-machine-learning-researcher-search-soaring-star-talent-program"}]}