{"id":196548,"url":"https://alion.io/job/nanyang-technological-university-research-engineer-i-computer-science-artificial-intelligence-data-science-electrical-engineering","title":"Research Engineer I (Computer Science / Artificial Intelligence / Data Science / Electrical Engineering)","company":{"id":98222,"name":"Nanyang Technological University","domain":"ntu.edu.sg","url":"https://alion.io/company/nanyang-technological-university","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":193,"ghost_share":0,"stale_share":0.891,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","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":38000,"max_usd":78000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-11-05T05:48:59Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.\nANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity.\nWe are seeking a highly motivated Research Engineer to develop next-generation Green AI technologies that improve the efficiency, sustainability, and scalability of artificial intelligence systems. The successful candidate will contribute to cutting-edge research and engineering in large language models (LLMs), efficient machine learning, and AI systems, translating research innovations into practical solutions for sustainable computing and real-world applications. This role offers opportunities to work at the intersection of AI research, software engineering, and sustainability, collaborating with multidisciplinary teams across academia and industry.\nJob Description:\nSupport the design, development, and implementation novel machine learning and large language model (LLM) algorithms for Green AI applications.\n\nSupport the research of efficient AI techniques, including model optimization, parameter-efficient fine-tuning, self-training, retrieval-augmented generation (RAG), prompt engineering, and efficient inference.\n\nConduct experiments, benchmark algorithms, and analyze performance using rigorous scientific methodologies.\n\nContribute to publications in leading AI conferences and journals.\n\nCollaborate with cross-functional teams to translate research outcomes into deployable technologies.\n\nKeep abreast of the latest developments in Green AI, foundation models, code intelligence, and AI systems.\n\nJob Requirements:\nBachelor's in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or a related discipline.\n\nStrong background in machine learning, deep learning, and large language models.\n\nExperience working with large-scale datasets and distributed model training.\n\nStrong programming skills in Python.\n\nExperience with modern deep learning frameworks such as PyTorch or TensorFlow.\n\nStrong analytical and problem-solving abilities.\n\nGood written and verbal communication skills.\n\nWe regret to inform that only shortlisted candidates will be notified.\nHiring Institution: NTU","description_format":"text","description_chars":2723,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Electrical & 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