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Research Scientist - Synthetic Data for CAD Foundation Models (Spectral Labs)

failed58 qualified2 runsMar 9, 1:16 PMsynthetic-data-3d-cad-research

Qualified Candidates (58)

AL

Artem Lukoianov

high hireability

Research Intern@DeepMind

Previously: Research Intern @ Meta

Boston, US

  • SolidGen — only candidate with direct B-Rep solid model generation expertise (ICLR 2024); differentiable parametric CAD work directly maps to Spectral Labs' CAD foundation model mission (h=5)
  • Hireability: HIGH — MIT CSAIL PhD candidate graduating 2026, DeepMind intern
AN

Amin Heyrani Nobari

high hireability

Research Assistant@MIT

Previously: Research Assistant @ University of Toronto

Boston, US

  • MIT DECODE Lab — most directly relevant candidate for engineering design + parametric CAD AI
  • BikeBench + OAT + NITO trifecta; two NeurIPS 2025 papers
  • Website rebuilt Dec 2025 = job market entry signal
  • Hireability: HIGH — prime graduation window
LR

Lyle Regenwetter

high hireability

Graduate Student@Massachusetts Institute of Technology

Previously: ML Intern, Platform Architecture @ Apple

Boston, US

  • MIT DECODE Lab — parametric bicycle CAD datasets (BIKED, BIKED++) and deep generative design models (h=8)
  • CV update Jan 2026 is direct job-market signal
  • Apple ML intern background
  • Hireability: HIGH — prime graduation window with explicit job market signal
DC

Di Chang

high hireability

Student Researcher@Meta

Previously: Research Scientist Intern @ Meta

San Francisco, US

  • USC PhD (Soleymani/IHP-Lab) interning at Meta SuperIntelligence Labs in Palo Alto
  • MagicPose, MagicPose4D dynamic 3D generation (h=8)
  • Location move to Bay Area in Jan 2026 is explicit post-PhD placement signal
  • Hireability: HIGH — final-year PhD, Bay Area relocation, Meta MSL internship active
YY

Yang You

high hireability

Postdoctoral Researcher@Stanford University

Previously: PhD @ Shanghai Jiao Tong University

Stanford, US

  • Img2CAD (SIGGRAPH Asia 2025) — reverse engineering 3D CAD models from images via VLM-assisted factorization; KeypointNet (CVPR 2020) 3D keypoint understanding; Stanford Guibas Lab postdoc (h=10)
  • Hireability: HIGH — postdoc at Stanford, standard industry transition window
AG

Aditya Ganeshan

high hireability

PhD Student@Brown University

  • ParSEL (SIGGRAPH Asia 2024) parametric 3D shape editing + program synthesis for 3D shapes at Brown (h=5)
  • Neurosymbolic and parametric shape generation overlaps with CAD sequence modeling
  • NOTE: original Oxford/TextCAD attribution was incorrect — he is at Brown
  • Hireability: HIGH — Brown PhD nearing completion with strong recent venue placements
CZ

Chuhang Zou

high hireability

Research Scientist@Meta

Previously: Senior Research Scientist @ Amazon

Seattle, US

  • 3D-PRNN shape primitives (277 citations), LayoutNet 3D room layout (327 citations), Direct 3D Generation (2025) at Meta (h=15); website shows 16 recent changes including position updates in 2025
  • Hireability: HIGH — multiple 2025 position updates and frequent website changes are strong transition signals
GN

Ghadi Nehme

high hireability

PhD Student@MIT (MechE, DeCoDe Lab)

ex-Stanford University

  • VideoCAD (NeurIPS 2025) — 41K synthetic CAD UI interaction dataset + VideoCADFormer model at MIT DeCoDe Lab (h=5)
  • Direct overlap with synthetic CAD data creation and CAD sequence modeling
  • Hireability: HIGH — MIT PhD student publishing prolifically, prime transition window
AK

Aliasghar Khani

high hireability

Researcher@Autodesk

Previously: AI Research Internship @ Autodesk

Vancouver, CA

  • Co-author on WaLa (2024) billion-parameter 3D generative model at Autodesk AI Lab (h=6)
  • NOTE: original SkexGen attribution is incorrect — SkexGen is by a different Xiang Xu
  • Hireability: HIGH — early-career Autodesk researcher, high mobility window
CD

Congyue Deng

high hireability

Student Researcher@DeepMind

Previously: Research Scientist @ Waymo

San Francisco, US

  • Vector Neurons (ICCV 2021, 430 citations), NAP (NeurIPS 2023 — articulated 3D object prior) at MIT postdoc; PhD Stanford (Guibas lab); prior Waymo RS and Google Brain (h=12)
  • Hireability: HIGH — early postdoc, prime transition window
DX

Dejia Xu

high hireability

Research Scientist@Luma AI

Previously: Research Assistant @ University of Texas at Austin

San Francisco, US

  • Lead author on AGG (3D Gaussian generation), CamCo (3D-consistent video), and DreamCraft3D; RS at Luma AI building 3D/video generation (h=10)
  • Hireability: HIGH — fresh PhD graduate in first industry role at a startup, natural transition window
AD

Anna C. Doris

high hireability

PhD Student@MIT (DeCoDe Lab)

  • CAD-Coder (IDETC 2025) VLM for CAD code generation + 163K GenCAD-Code dataset at MIT DeCoDe Lab (h=4)
  • Synthetic CAD data pipeline directly relevant
  • Hireability: HIGH — MIT PhD student at prime transition window with strong recent publications
HY

Haitao Yang

high hireability

Ph.D. student@University of Texas at Austin

Previously: Research intern @ Waymo

Austin, US

  • Author of BrepGen (NeurIPS 2023) and SolidGen (ICLR 2024) — the two most-cited direct B-rep CAD generative model papers, co-authored with Autodesk Research (h=10)
  • UT Austin PhD with Waymo + Amazon internships
  • Note: original entry incorrectly listed Autodesk as present company — he is a PhD student
  • Hireability: HIGH — PhD final year, prime transition window
HC

Honglin Chen

high hireability

PhD student@Columbia University

Previously: Research Intern @ Adobe

US

  • Columbia PhD with Adobe + Meta internships — neural implicit geometry and simulation focus (h=8)
  • Softer CAD fit than MIT DECODE candidates but strong 3D geometry foundations
  • Hireability: HIGH — ~4yr Columbia PhD nearing completion with industry internship track record
HY

Hong-Xing Yu

high hireability

PhD Candidate@Stanford University

Previously: Intern @ Google

US

  • WonderWorld (CVPR 2025 Highlight), PhysDreamer (ECCV 2024), ZeroNVS — generative 3D/world modeling at Stanford (h=15)
  • Hireability: HIGH — Stanford PhD Candidate nearing completion, Google intern history
KN

Ke Niu

high hireability

Master's student@Phd of Computer Science Fudan University

Previously: Graphic Designer @ Boston University

Los Angeles, US

  • CReFT-CAD (NeurIPS 2025) RL fine-tuning + TriView2CAD 200K synthetic benchmark, PHT-CAD (2025) VLM for engineering drawing analysis at Fudan University (h=6)
  • NOTE: original MIT affiliation was incorrect — he is at Fudan
  • Hireability: HIGH — early-career student, prime window for first industry role
KL

Kwan-Yee Lin

high hireability

Postdoc@University of Michigan

Previously: Researcher @ Shanghai Artificial Intelligence Laboratory

Ann Arbor, US

  • SynBody synthetic 3D human dataset + MonoHuman animatable neural human field; postdoc at U Michigan (h=15)
  • Website actively updated
  • Hireability: HIGH — postdoc at prime transition window, actively publishing
NW

Ningna Wang

high hireability

Postdoctoral Research Scientist@Columbia University

ex-University of Texas at Dallas

  • CADDreamer (CVPR 2025) B-rep generation + SIGGRAPH-level 3D geometry work at Columbia postdoc (h=8)
  • WiGRAPH Rising Star 2025 and MIT EECS Rising Stars 2025
  • Hireability: HIGH — postdoc at prime transition window with top recognition
RJ

R. Kenny Jones

high hireability

Postdoctoral Scholar@Stanford University

ex-Brown University

  • ShapeAssembly (SIGGRAPH Asia 2020) + ShapeCoder (SIGGRAPH 2023) program synthesis for 3D shapes; Stanford postdoc with Agrawala + Wu (h=8)
  • Procedural/symbolic 3D shape generation maps directly onto CAD construction sequence modeling
  • Hireability: HIGH — Stanford postdoc at prime 1-3yr transition window
RL

Ruoshi Liu

high hireability

Research Scientist@Amazon

Previously: Research Scientist @ Meta

San Francisco, US

  • Zero-1-to-3 and Objaverse-XL co-creator — built the canonical synthetic 3D object dataset and zero-shot 3D generation pipeline (h=12)
  • RS at Amazon FAR SF
  • Hireability: HIGH — Meta→Amazon Jan 2026 move confirmed; UMD faculty Sep 2026 creates a defined and urgent industry bridge window
YF

Yang Fu

high hireability

Research Intern@Waymo

Previously: Research Intern @ NVIDIA

San Francisco, US

  • COLMAP-Free 3DGS (CVPR 2024 Highlight), HOIDiffusion (CVPR 2024), RGBD Objects in the Wild (CVPR 2024) at UCSD PhD / Waymo intern (h=10)
  • NVIDIA internships x2
  • Hireability: HIGH — PhD nearing completion, active internship cycle ongoing
YL

Yifei Li

high hireability

CS PhD Student@Massachusetts Institute of Technology

Previously: Research Scientist Intern @ NVIDIA

Cambridge, US

  • JoinABLe (CVPR 2022) parametric CAD joint assembly learning, LLMs for engineering design (134 citations), differentiable simulation at MIT CSAIL (h=8)
  • LinkedIn headline explicitly updated to 'Final-Year CS PhD' in Feb 2026
  • Hireability: HIGH — explicit final-year PhD signal, industry internships at NVIDIA and The AI Institute
ZX

Zhenjia Xu

high hireability

Member of Technical Staff@Genesis AI

Previously: Senior Research Scientist @ NVIDIA

San Francisco, US

  • Diffusion Policy (2052 citations) + Genesis AI physics engine co-creator — sim-to-real synthetic 3D data pipeline expertise (h=10)
  • Now MTS at Genesis AI SF after leaving NVIDIA GEAR
  • Hireability: HIGH — recent move to early-stage startup signals active career transition window
ZD

Zhiyang Dou

high hireability

PhD student@MIT

Previously: Visiting Student @ University of Pennsylvania

Boston, US

  • Wonder3D single-image-to-3D (614 citations, CVPR 2024), Surf-D diffusion surface generation, Part123 part-aware reconstruction at MIT (h=10)
  • Hireability: HIGH — active MIT PhD student, 614-citation lead paper signals strong output and near-graduation readiness
ZG

Ziyu Guo

high hireability

Research Intern@Meta

Previously: Research Intern @ Roblox

San Francisco, US

  • PointCLIP (CVPR 2022), Point-M2AE (NeurIPS 2022), HOIDiffusion (CVPR 2024 — synthetic 3D interaction data), COLMAP-Free 3DGS (CVPR 2024) at CUHK PhD / Meta intern (h=8)
  • Website 67 updates, most recent 13 days ago
  • Hireability: HIGH — PhD nearing completion, highly active market signal
AS

Ari Seff

medium hireability

Research Scientist@OpenAI

Previously: Research Scientist @ Apple

  • SketchGraphs (ICML 2020, 100 citations) + Vitruvion (ICLR 2022, 95 citations) — the two most-cited parametric 2D CAD sketch generative modeling papers
  • Now at OpenAI (joined Jan 2025, h=12)
  • Hireability: MEDIUM — highly relevant technically but just joined OpenAI; revisit in 12+ months
CE

Carlos Esteves

medium hireability

Research Scientist@Google

Previously: PhD Candidate @ University of Pennsylvania

New York, US

  • SO(3) spherical CNNs (653 citations), light field neural rendering, single-mesh diffusion at Google (h=18)
  • Hireability: MEDIUM — senior long-tenure Google RS, no departure signals
CW

Chaoyang Wang

medium hireability

Research Scientist@Snap

Previously: Graduate Research Assistant @ Carnegie Mellon University

Los Angeles, US

  • Autodecoding Latent 3D Diffusion, 4Real 4D scene generation, Atom text-to-mesh, VD3D 3D-controllable video at Snap (h=15)
  • Hireability: MEDIUM — early post-PhD RS at Snap, actively publishing, no strong departure signals yet
CL

Chen-Hsuan Lin

medium hireability

Senior Research Scientist@NVIDIA

Previously: Research Scientist @ NVIDIA

San Francisco, US

  • Magic3D (CVPR 2023), Neuralangelo (CVPR 2023), GET3D (NeurIPS 2022), Cosmos world foundation model — core 3D generative research at NVIDIA (h=20)
  • Hireability: MEDIUM — entrenched NVIDIA tenure, no departure signal
ET

Edith Tretschk

medium hireability

Research Scientist@Meta

Previously: PhD Candidate @ Max Planck Institute for Informatics

San Francisco, US

  • Non-Rigid NeRF (633 citations), PatchNets implicit 3D, SceNeRFlow dynamic scene reconstruction at Meta (h=10)
  • Hireability: MEDIUM — stable Meta RS post-MPI PhD, no active signals, moderate transition window
EC

Evan Casey

medium hireability

Research Engineer@Autodesk Research

  • Fusion 360 Gallery dataset (ACM TOG 2021) + Aligning Constraint Generation (ICCV 2025, first author) at Autodesk Research (h=4)
  • Directly built the most-used real-world CAD sequence dataset and leads constraint alignment research
  • Hireability: MEDIUM — stable at Autodesk, but ICCV first-author signals research ambition and transition openness
GN

Giljoo Nam

medium hireability

Research Scientist@Meta

Previously: Research Intern @ Meta

Pittsburgh, US

  • Relightable Gaussian Codec Avatars (2024), CT2Hair (SIGGRAPH 2023), Neural Strands (ECCV 2022) — photorealistic 3D generative assets at Meta Reality Labs (h=12)
  • Hireability: MEDIUM — stable Meta role, transition window open
HT

Hao Tan

medium hireability

Research Scientist@Adobe

Previously: Research Intern @ Bloomberg

San Francisco, US

  • LRM, GS-LRM, DMV3D, MeshLRM — end-to-end 3D asset synthesis from sparse views (h=22)
  • Adobe RS
  • Hireability: MEDIUM — ~4 years at Adobe, transition window open but no active signal
HT

Hung-Yu Tseng

medium hireability

Research Scientist@Meta

Previously: Graduate Research Assistant @ University of California, Merced

San Francisco, US

  • Robust Dynamic Radiance Fields, pose-guided diffusion for consistent 3D view synthesis, 3D scene stylization at Meta (h=12)
  • Hireability: MEDIUM — stable Meta RS, transition window present but no active signals
KH

Ka-Hei Hui

medium hireability

Researcher@Autodesk

Previously: PhD student @ The Chinese University of Hong Kong

US

  • CUHK PhD → Autodesk AI Lab
  • Make-A-Shape (10M-scale 3D diffusion, most directly relevant in batch), Neural Wavelet Diffusion, SP-GAN (h=8)
  • Note: DB listed as CUHK PhD student; web confirms Autodesk AI Lab
  • Hireability: MEDIUM — working on exact 3D foundation model domain at Autodesk; worth targeted outreach
LC

Lucy Chai

medium hireability

Researcher@Google

Previously: PhD student @ Massachusetts Institute of Technology

San Francisco, US

  • Persistent Nature (CVPR 2023 — generative unbounded 3D worlds), Generative Image Dynamics (CVPR 2024), MegaSaM (2025), Stereo Magnification (SIGGRAPH 2018, 1316 citations) at Google (h=12)
  • PhD MIT (Isola lab)
  • Hireability: MEDIUM — recently joined Google post-PhD, transition window opening
MG

Matheus Gadelha

medium hireability

Research Scientist@Adobe

Previously: Research Assistant @ University of Massachusetts Amherst

Seattle, US

  • 3D shape generation from sketches/2D views, ANISE neural implicit assembly, GEM3D, DMesh at Adobe Research (h=15)
  • Hireability: MEDIUM — established Adobe RS with no departure signals, but 3D-native org could attract a move
MU

Mikaela Angelina Uy

medium hireability

Researcher@NVIDIA

Previously: PhD Student @ Stanford University

San Francisco, US

  • Point2Cyl (CVPR 2022) and MV2Cyl (NeurIPS 2024) — parametric extrusion cylinder extraction from point clouds and images; co-author Img2CAD (SIGGRAPH Asia 2025)
  • NVIDIA Researcher from Stanford PhD (Jul 2025, h=10)
  • Hireability: MEDIUM — recently started at NVIDIA (<1 year, Jul 2025); revisit mid-2026
MR

Mike Roberts

medium hireability

Senior Research Scientist@Adobe

Previously: Research Scientist @ Intel

San Francisco, US

  • Hypersim (CVPR 2021, 77K synthetic indoor scenes), PISA (ICML 2025, physics post-training via synthetic video) at Adobe (h=15)
  • Previously at Apple and Intel
  • Hireability: MEDIUM — stable senior role, but strong synthetic data lineage is directly on-target
PJ

Pradeep Kumar Jayaraman

medium hireability

Senior Manager, Research Science@Autodesk Research

  • UV-Net (CVPR 2021), BRepNet, SolidGen, BrepGen (SIGGRAPH 2024), AutoBrep — comprehensive B-Rep CAD learning portfolio at Autodesk Research (h=15)
  • Now Senior Manager, Research Science
  • Hireability: MEDIUM — ~5+ years at Autodesk, management track reduces transition probability, no explicit signal
PR

Pradyumna Reddy

medium hireability

Senior Research Scientist@Autodesk

Previously: Senior Research Scientist @ Huawei

London, GB

  • WaLa (2024) billion-parameter 3D generative model, 3D-WAG hierarchical wavelet autoregressive 3D generation, G3DR at Autodesk Research (h=7)
  • Track record of cross-company mobility (DeepMind→Huawei→Autodesk)
  • Hireability: MEDIUM — active mover historically, no explicit current signal
QX

Qiangeng Xu

medium hireability

Research Scientist@Waymo

Previously: Software Engineer @ Google

San Francisco, US

  • DISN neural implicit 3D reconstruction (649 citations), GaussianFlow 4D Gaussian generation, Point-NeRF at Waymo (h=12)
  • Hireability: MEDIUM — demonstrated mobility (Google→Waymo), plausible transition window
RL

Ruilong Li

medium hireability

Research Scientist@NVIDIA

Previously: Research Assistant @ Vision & Graphics Lab at USC ICT

  • nerfacc and gsplat maintainer — foundational open-source 3D rendering libraries (h=15); now RS at NVIDIA Spatial Intelligence Lab
  • Hireability: MEDIUM — recent company change Jul 2025, under 1yr
SB

Sai Bi

medium hireability

Senior Research Scientist@Adobe

Previously: Research Intern @ Meta

San Francisco, US

  • LRM, GS-LRM, DMV3D, MeshLRM — defined the large reconstruction model paradigm for 3D asset synthesis at Adobe Research SF (h=28)
  • Hireability: MEDIUM — stable senior role, approaching natural tenure inflection point
SX

Sam Xu

medium hireability

Senior Research Scientist@Autodesk AI Lab

ex-Simon Fraser University

  • SkexGen (ICML 2022), BrepGen (SIGGRAPH 2024), AutoBrep (SIGGRAPH Asia 2025) — a full lineage of CAD construction sequence and B-Rep generative models at Autodesk AI Lab
  • NOTE: original record incorrectly listed Waymo — actual affiliation is Autodesk AI Lab (h≈10)
  • Hireability: MEDIUM — established at Autodesk, transition window unclear, no explicit open signal
SG

Sharath Girish

medium hireability

Research Scientist@Snap

Previously: Research Intern @ NVIDIA

College Park, US

  • EAGLES (3D Gaussian splatting compression, ECCV 2024), QUEEN (quantized free-viewpoint video), SHACIRA (neural implicit compression) at Snap (h=8)
  • Hireability: MEDIUM — recently started at Snap (~1yr); strong 3D representation background relevant to spatial intelligence
SP

Songyou Peng

medium hireability

Senior Research Scientist@DeepMind

Previously: Senior Researcher/PostDoc @ ETH Zürich

San Francisco, US

  • Convolutional Occupancy Networks pioneer and DepthSplat (CVPR 2025) author — strong feed-forward 3D reconstruction track record (h=20)
  • Hireability: MEDIUM — stable Senior RS at DeepMind SF, relatively recent join
WM

Willi Menapace

medium hireability

Senior Research Scientist@Snap Inc.

Previously: Research Scientist @ Snap Inc.

Los Angeles, US

  • 4Real (4D scene generation), VD3D (3D camera control), Snap Video at Snap (h=10)
  • Promoted to Senior RS with full Snap tenure
  • Hireability: MEDIUM — entrenched at Snap, no open signals, but 4D/dynamic 3D expertise is directly relevant; worth a cold outreach
XX

Xianghao Xu

medium hireability

Software Engineer@Waymo

ex-Brown University

  • Zone Graphs (CVPR 2021) CAD modeling sequence inference + Part Retrieval Assembly (CVPR 2023) at Brown PhD, now SWE at Waymo (h=6)
  • Strong CAD AI background but non-research current role
  • Hireability: MEDIUM — recently joined Waymo post-PhD, SWE not research, transition window open
YL

Yuan Li

medium hireability

Research Scientist@Autodesk Research

  • CADDreamer (CVPR 2025, first author) + CadVLM (ECCV 2024) at Autodesk Research (h=8)
  • B-rep generation and parametric CAD sketch modeling directly match role requirements
  • Hireability: MEDIUM — stable at Autodesk, 2-4yr tenure signals transition openness
YG

Yulia Gryaditskaya

medium hireability

Senior Research Scientist@Adobe

Previously: Assistant Professor in Artificial Intelligence @ University of Surrey

London, GB

  • LiftConceptSketches3D (SIGGRAPH Asia 2020), OpenSketch product design sketch dataset, sketch-to-3D pipelines at Adobe Research (h=11)
  • Covers sketch → 3D shape interface central to parametric CAD
  • Recent website activity
  • Hireability: MEDIUM — ~3 years at Adobe, prior tenure-track→industry transition indicates openness, website recently active
ZH

Zekun Hao

medium hireability

Research Scientist@NVIDIA

Previously: Research Intern @ NVIDIA

San Francisco, US

  • PointFlow (885 citations), EdgeRunner autoregressive mesh gen, Meshtron large-scale 3D mesh gen, Edify 3D at NVIDIA (h=12)
  • Hireability: MEDIUM — NVIDIA RS working on production 3D asset generation, no departure signals, but worth outreach
BL

Beichen Li

low hireability

Member of Technical Staff@OpenAI

Previously: Graduate Research Assistant @ MIT

San Francisco, US

  • MIT CSAIL PhD (Matusik lab) → OpenAI MTS
  • CAD-Coder (2025) is highly relevant but now entrenched at OpenAI (h=8)
  • Best approached as a long-horizon prospect or via network connection
  • Hireability: LOW — ~1yr at OpenAI, high-retention environment
CP

Cyril Picard

low hireability

Member of the Technical Staff (Applied AI Researcher)@P-1 AI

Previously: Research Scientist @ Massachusetts Institute of Technology

Boston, US

  • EPFL PhD → MIT postdoc/RS → P-1 AI MTS
  • Strong engineering design AI and synthetic dataset expertise (h=6)
  • Currently too fresh at P-1 AI to be movable
  • Hireability: LOW — ~7 months at P-1 AI, recently onboarded
GS

Guoxian Song

low hireability

Staff Research Scientist@ByteDance

Previously: Senior Research Scientist @ ByteDance

San Francisco, US

  • PanoHead (CVPR 2023), AvatarGen (ECCV 2022), GETAvatar — 3D generative human avatars at ByteDance (h=12)
  • Promoted RS→SRS→Staff internally
  • Hireability: LOW — long entrenched tenure at ByteDance, no departure signals
MD

Matt Deitke

low hireability

AI Researcher@Meta

Previously: Co-founder @ Vercept

San Francisco, US

  • Objaverse (800K objects) and Objaverse-XL (10M+ objects) creator — defined synthetic 3D dataset infrastructure for the field (h=22)
  • Now AI Researcher at Meta SF
  • Hireability: LOW — joined Meta mid-2025 with large compensation package, under 1 year tenure
PS

Pratul P. Srinivasan

low hireability

Research Scientist@DeepMind

Previously: Intern @ Google

San Francisco, US

  • NeRF co-inventor (h=39); SimVS and Bolt3D are directly on-topic synthetic 3D data pipelines for training 3D generative models
  • Hireability: LOW — SIGGRAPH 2025 award winner, entrenched at DeepMind SF
RW

Rundi Wu

low hireability

Research Scientist@DeepMind

Previously: PHD Student @ Columbia University

San Francisco, US

  • DeepCAD — seminal generative transformer for CAD command sequences (ICCV 2021); foundational CAD generation work (h=15)
  • Hireability: LOW — recently joined DeepMind SF (Aug 2025), under 1 year tenure

Runs

#2completed26 qualified / 26 foundMar 12, 8:02 PM
#1completed32 qualified / 32 foundMar 12, 8:02 PM