{"id":1253272,"url":"https://alion.io/job/astar-research-engineer-computing-intelligence-iaic","title":"Research Engineer, Computing & Intelligence, IAIC","company":{"id":50235,"name":"Agency for Science, Technology and Research","domain":"a-star.edu.sg","url":"https://alion.io/company/a-star-edu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-25T18:38:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T20:53:40Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Summary\nAbout the Role\nThe Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Research Engineer to develop and deploy advanced AI systems that translate cutting-edge research into scalable real-world applications.\nThe successful candidate will work closely with research scientists to implement, optimize, and operationalize AI models across healthcare and biomedical domains. This role combines software engineering, machine learning, and systems engineering to bridge the gap between research and deployment.\nKey Responsibilities\nAI System Development\nDesign, develop, and maintain machine learning and deep learning systems.\nImplement state-of-the-art AI algorithms from research prototypes into production-quality software.\nBuild scalable data processing and model training pipelines.\nDevelop multimodal AI systems integrating text, image, video, sensor, and structured data.\nOptimize model training, inference, and deployment workflows.\nResearch Translation\nCollaborate with AI researchers to translate novel algorithms into robust software solutions.\nReproduce and benchmark research models.\nDevelop reusable AI frameworks, libraries, and tools.\nSupport experimentation, model evaluation, and performance optimization.\nSoftware & Infrastructure Engineering\nDesign scalable cloud and on-premise AI infrastructure.\nDevelop APIs, backend services, and model-serving platforms.\nImplement automated testing, monitoring, and CI/CD pipelines.\nSupport large-scale distributed training and inference systems.\nDeployment & Integration\nDeploy AI solutions into healthcare, scientific, and enterprise environments.\nIntegrate AI systems with operational workflows and external platforms.\nDevelop monitoring tools for model performance and reliability.\nSupport technology transfer and production deployment activities.\nRequirements\nEssential\nBachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or related disciplines.\nStrong programming skills in Python.\nExperience with PyTorch, TensorFlow, or similar machine learning frameworks.\nExperience in software engineering best practices.\nFamiliarity with Linux, Git, and software development workflows.\nStrong problem-solving and system design skills.\nPreferred\nExperience with:Large Language Models\nMultimodal AI\nComputer Vision\nMLOps platforms\nCloud Computing (AWS, Azure, GCP)\nContainerization (Docker, Kubernetes)\nDistributed Computing\nGPU Computing\n\nWhat We Offer\nOpportunity to work on cutting-edge AI technologies with real-world impact.\nAccess to world-class computational infrastructure and research facilities.\nCollaboration with leading researchers, clinicians, scientists, and industry partners.\nA dynamic environment supporting innovation, learning, and career growth.","description_format":"text","description_chars":2817,"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":[],"lifecycle":[{"event":"open","at":"2026-09-25T18:38:00Z"}],"liveness":{"score":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.854,"p_room":1,"age_days":4,"expected_fill_days":21,"reasons":["conf:4","velocity","win:early","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/astar-research-engineer-computing-intelligence-iaic","json_url":"https://alion.io/job/astar-research-engineer-computing-intelligence-iaic.json","meta":{"generated_at":"2026-10-01T03:00:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2408,"day_limit":5000,"remaining_today":2592,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}