BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260417T190002Z LOCATION:West Building\, Exhibit Hall C DTSTART;TZID=America/Los_Angeles:20250810T080000 DTEND;TZID=America/Los_Angeles:20250810T090000 UID:siggraph_SIGGRAPH 2025_sess618_job_128@linklings.com SUMMARY:AI Research Scientist-Foundation Model Algorithms DESCRIPTION:We are looking for a strategic technical leader to drive the d evelopment of the next generation of Huawei’s foundation models. This role focuses on algorithmic breakthroughs in large-scale models across NLP, mu ltimodal, CV, and domain-specific verticals (e.g., document understanding, remote sensing, 3D).\n\nYou will lead research and engineering in model a rchitecture, training methods, cross-modal alignment, in-context learning, hallucination mitigation, search augmentation, and agentic reasoning—driv ing capability from core (L0) infrastructure to application-level (L1) del ivery.\n\nResponsibilities:\n1. Lead algorithm R&D for foundation models i n NLP, vision, and multimodal domains (e.g., natural images, documents, 3D , OCR, remote sensing).\n2. Drive innovation in key technical directions i ncluding encoder design, modality alignment, scalable training, prompt-bas ed learning, hallucination control, search-augmented modeling, and agent-e nablement.\n3. Guide horizontal capability building at the L0 level and su pport model performance optimization and delivery in L1-level industry app lications.\n4. Interface with customers and internal stakeholders to gathe r requirements, define technical paths, and ensure model effectiveness ali gns with business goals.\n5. Contribute to roadmap planning, technical for esight, academic collaboration, and external technology scouting for NLP a nd multimodal models.\n\n END:VEVENT END:VCALENDAR