RCI-ABBV-34440 3D Computer Vision Engineer (3D Imaging/3D Digital Endpoint/NeRF/Blender/Maya Content Creation/Photogrammetry/PyTorch/Python/NumPy/SciPy/LLM/CNN/Yolo)

3D Data Scientist

Location : Irvine, CA (Hybrid – Onsite Tue/Wed/Thu

)
Overvi

ewSeeking a highly technical 3D Data Scientist to join a clinical innovation team focused on 3D computer vision, machine learning, photogrammetry, and digital endpoint development. This role combines research and production, requiring hands-on expertise in NeRF, 3D capture systems, Blender/Maya, machine learning, and 3D reconstruction workflow

s.
The ideal candidate can move seamlessly between 3D modeling, computer vision, ML development, validation, and product integrati

on.Key Responsibilit

ies3D Capture & Validat

• ionLead validation of 3D facial capture syste
• ms.Design benchmarking and validation pipelines for accuracy, repeatability, and performan
• ce.Evaluate photogrammetry-generated 3D models and reconstruction quali
• ty.Develop statistical methods for assessing capture fidelity and geometric precisi

on.3D Data Science & Machine Learn

• ingBuild ML models usi
• ng:3D mes
• hesPoint clo
• udsDepth m
• apsImage/video-based datas
• etsDevelop and evaluate supervised, self-supervised, and geometric deep learning mode
• ls.Analyze large-scale 3D/4D datasets and establish quality metri
• cs.Create automated validation and performance-measurement pipelin

es.3D Reconstruction & Render

• ingWork extensively wi
• th:NeRF (Neural Radiance Fiel
• ds)Photogramme
• try3D reconstruction pipeli
• nesDepth acquisition technolog
• iesUtilize Blender, Maya, or similar tools for content creation and data preparati
• on.Collaborate with 3D capture and rendering teams to improve workflo

ws.Cross-Functional Collaborat

• ionPartner with Data Science, Engineering, Product, and Clinical tea
• ms.Translate research concepts into production-ready solutio
• ns.Stay current with emerging research
• in:N
• eRFNeural Render
• ingPhotogramme
• try3D

AIRequired Qualificati

• onsBachelor's degree in Computer Science, Data Science, Computer Vision, ML, Biomedical Engineering, or related fie
• ld.Master's with 2–3+ years experience OR PhD with relevant research experien
• ce.Strong Python programming skil
• ls.Experience building production-quality ML mode
• ls.Hands-on experience wi
• th:3D mes
• hesPoint clo
• udsDepth m
• apsPhotogrammetry outp
• utsStrong mathematical foundation in machine learning and computer visi
• on.Experience working in both research and production environmen

ts.Must-Have Ski

lls1. 3D Computer Vis

• ion3D reconstruct
• ionPhotogramme
• tryN
• eRFPoint cloud process
• ingMesh process
• ingDepth sensing/acquisit

ion2. Machine Learn

• ingPyTo
• rchTensorF
• lowGeometric Deep Learn
• ingComputer Vision Mod
• elsUnstructured Data Process

ing3. 3D Rendering & Content Creat

• ionBlender (strong preferen
• ce)Autodesk M
• ayaUV Mapp
• ingTexture Bak
• ingScene Render

ing4. Programm

• ingPyt
• honNu
• mPySc
• iPyPan
• dasscikit-le

arn5. 3D Data Process

• ingOpe
• n3DTrim
• eshPyMesh
• Lab

PCLPreferred Ski

• llsRealityCapt
• ureAgisoft Metash
• apePyTorch Geomet
• ricGit, DVC, MLf
• lowAWS, Azure,
• GCPFacial landmark
• ingShape analy
• sisDigital biomarkers/endpoi
• ntsMedical imag
• ingClinical resea
• rchHealthcare

AISomeone wi

• th:Strong ML and mathematical foundati
• on.Hands-on NeRF and photogrammetry experien
• ce.Deep Blender/Maya experti
• se.Experience validating 3D capture syste
• ms.Ability to build end-to-end pipelines from 3D acquisition → reconstruction → ML modeling → production deployme