{"id":1792892,"url":"https://alion.io/job/tencent-senior-researcher-natural-language-processing-2","title":"Senior Researcher, Natural Language Processing","company":{"id":103,"name":"Tencent","domain":"tencent.com","url":"https://alion.io/company/tencent","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":76,"open_postings":63,"ghost_share":0,"stale_share":0.937,"repost_share":0.016,"time_to_fill_p50_days":47,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":125000,"max_usd":222000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DeepSpeed","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FSDP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LLaMA-Factory","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Qwen","optional":false},{"name":"Transformers","optional":false},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2025-07-21T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-05T04:05:46Z","board_verified":true,"closed_at":null,"days_open":472,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":472},"description":"岗位职责 / Responsibilities\n1. Responsible for NLP research and development including LLM reasoning, conversational agents, machine translation, part-of-speech tagging, sentence analysis and named entity recognition.\n2. Optimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data.\n3. Explore applications of NLP techniques and deep learning algorithms in games.\n4. Follow the latest developments in academia and industry and quickly apply findings in your work.\nWork Location: UK-London\n岗位要求 / Requirements\n1. Familiar with NLP fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects.\n2. Proficient in at least one programming language, familiar with basic data structures and algorithms.\n3. Practical experience working with large language models (e.g., DeepSeel, Qwen, LLaMA), including model fine-tuning, instruction tuning, and evaluation. 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