{"id":2589249,"url":"https://alion.io/job/ge-healthcare-large-language-model-rd-engineer","title":"Large Language Model R&D Engineer","company":{"id":7352,"name":"GE HealthCare","domain":"gehealthcare.com","url":"https://alion.io/company/ge-healthcare","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":42,"ghost_share":0,"stale_share":0.786,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-23T05:54:15Z"}},"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":["Shanghai, China","China"],"countries":["CN"],"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":"DPO","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"KV Cache","optional":false},{"name":"Linux","optional":false},{"name":"LLaVA","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"SFT","optional":false},{"name":"Speech Recognition","optional":false},{"name":"TensorRT","optional":false},{"name":"Transformers","optional":false},{"name":"VLM","optional":false},{"name":"C++","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true}],"status":"live","first_seen_at":"2026-10-15T05:19:06Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-23T20:49:03Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Description Summary\nDevelop and optimize LLM, VLM, embedding, and audio multimodal models based onopen-source foundation models. Build GUI-recognition and automated-control agents for medical\npost-processing software and medical devices, meeting product design, performance, and\ncompliance-validation requirements. This role does not involve large-scale foundation-model\npretraining.\nGE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.\ntex\nJob Description\nMultimodal Fine-Tuning & Agent Development\nFine-tune LLM, VLM, embedding, and audio models using PEFT methods including LoRA/QLoRA, SFT, and DPO.\nDeliver GUI recognition, UI-element localization, instruction understanding, task planning, and tool-calling capabilities for device and software automation.\nData, Evaluation & Traceability\nBuild multimodal datasets from software screenshots, workflows, device commands, and audio interactions; perform collection, cleaning, annotation, and augmentation.\nEstablish automated evaluation for recognition accuracy, instruction-following success, hallucination rate, and robustness; maintain versioning and experiment records for R&D traceability.\nModel Optimization & Deployment\nApply distillation, pruning, and INT4/INT8 quantization (PTQ/QAT) to reduce model size, memory, and compute cost while preserving accuracy.\nOptimize inference through KV cache, operator fusion, and memory reuse; convert and deploy models locally using TensorRT and ONNX Runtime to meet latency and throughput targets.\nIntegration, Validation & Research\nIntegrate VLM interface recognition, LLM planning, embedding retrieval, and ASR understanding into an automated agent loop with engineering teams.\nSupport model verification, performance validation, technical documentation, risk analysis, boundary-case analysis, and evaluation of emerging VLM, Agent, GUI, and lightweight-model technologies.\nQualifications\nEducation\nMaster's degree or above in Computer Science, Artificial Intelligence, Pattern Recognition, Biomedical Engineering, or a related field.\nFundamental Knowledge\nStrong understanding of Transformer architectures, LLMs, VLMs, and PyTorch.\nHands-on end-to-end experience with SFT and parameter-efficient fine-tuning such as LoRA/QLoRA.\nRequired Technical Skills\nExperience with VLMs (for example, LLaVA), GUI/screenshot visual understanding, and automated-control tasks.\nKnowledge of embedding models, RAG, and ASR model tuning.\nKnowledge of distillation, quantization, pruning, TensorRT, and ONNX Runtime.\nProficiency in Python and Linux; ability to independently build datasets, train and evaluate models, and complete model conversion and deployment.\nPreferred Qualifications\nExperience in medical devices, medical-imaging post-processing software, medical-device AI, or medical-device software quality systems.\nPractical experience with agent development, tool calling, and orchestration frameworks such as LangChain or LangGraph.\nExperience optimizing models for embedded or compute-constrained local devices; familiarity with C++, inference SDKs, or vector databases.\nProfessional Competencies\nStrong focus on experiment traceability, model boundaries, and risk management.\nSound engineering judgment to balance accuracy, latency, and hardware cost.\nEffective cross-functional collaboration with device software, Product, and Quality teams\nInclusion and Diversity\nGE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.\nWe expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity.\nOur total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.","description_format":"text","description_chars":4514,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical Imaging Systems","Patient Monitoring","EHR & Clinical Software"],"lifecycle":[{"event":"open","at":"2026-10-15T05:19:06Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.58,"p_room":0.9,"age_days":8,"expected_fill_days":20,"reasons":["conf:2","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/ge-healthcare-large-language-model-rd-engineer","json_url":"https://alion.io/job/ge-healthcare-large-language-model-rd-engineer.json","meta":{"generated_at":"2026-10-24T01:02:36Z","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":1691,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":7352},"rest":"https://alion.io/mcp/rest/get_company?id=7352"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fge-healthcare-large-language-model-rd-engineer"},{"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%2Fge-healthcare-large-language-model-rd-engineer"},{"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%2Fge-healthcare-large-language-model-rd-engineer"},{"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/ge-healthcare-large-language-model-rd-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fge-healthcare-large-language-model-rd-engineer"}]}