Senior Applied Research Engineer

Sr Applied Researcher, Spyne

Location

Reports To

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Spyne is revolutionizing automotive retail with Generative AI, and we’re moving at lightning speed. We started with a simple but powerful idea: Use AI to help dealers sell cars online faster. Today, we’re building the world’s first AI-powered automotive retail ecosystem, transforming how 350K+ dealers market and sell vehicles across the Globe

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Backed by $16M from Vertex Ventures, Accel, and top investors, we’re scaling rapid

• ly5X revenue growth in 15 months, now gunning for 3-4X more this ye
• arLaunched industry-first AI Image & 360° solutio
• nsExpanding aggressively in the US & Euro
• peNext up? A full GenAI Automotive Retail Sui

teRead more about u

• s:Studio AI Product - t.ly/4tZ
• mVSmartView (Vini Teaser) - t.ly/Z6Q

wMPublic links (Explore more across the web yourself as well

• ):Spyne raises $16 Mi
• l!Check out these as well - New Office, One of the podcasts, Dave as Head of US Sal

esJOB DESCRIP

TIONWe are looking for a Research Lead (AI/ML/CV) for our Computer Vision team at Spyne. An ideal candidate will be someone with 3+ years of deep AI/CV/LLMs and Deep Learning skills. This is a senior IC research position for someone who enjoys building new architectures, pushing boundaries in generative vision + LLMs, and designing large-scale AI systems that ship to production. This is not a paper-writing job. This is a “build the thing nobody has built before”

job.WHAT WILL YOU WOR

• K ON?You will design foundational models and agent frameworks

• for:Premium automotive image cre

  ation (diffusion, 3D, NeRFs, SDFs, Gaussian Splat

• ting)Real-time voice a

  gents (ASR, TTS, latency-optimized dialogue mo

• dels)Text-based reasoning a

  gents for dealer workflows (lead handling, follow-ups, service f

• lows)Cross-modal intelli

  gence (vision ↔ text ↔ audio alignment, embeddings, routing mo

• dels)Self-improving learning

  loops (RLHF, data-engineered fine-tuning pipel
• ines)You will be the architect who prototypes, validates, breaks, rebuilds, and hardens new ideas before they become company-wide sys

tems.YOUR RESPONSIBI

• LITIESDesign and train novel CV, LLM, and multimodal architectures optimized for dealership work
• flows.Build generative pipelines that transform raw images, video, or speech into structured, high-value ou
• tputs.Conduct applied research on diffusion models, retrieval-augmented LLMs, 3D reconstruction, and voice m
• odels.Write clean, reproducible research code with rigorous experiment
• ation.Collaborate with infra teams to deploy your models at scale with low latency and high
• uptimeWork closely with the AI Research Manager and Product to define future research t

racks.JOB REQUI

• REMENTSPhD in Computer Science, Engineering or a related subject from a prestigious university or Masters with deep Computer Vision and GANs project expe
• rience.Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, a
• nd ACL.2-5 years in Computer Vision, deep learning, generative modeling, or LLM re
• search.Strong understanding of diffusion, transformers, 3D vision, and multimodal model archite
• ctures.Ability to train large and small language models efficiently and debug complex training be
• havior.Strong mathematical grounding in optimization, probabilistic modeling, representation le
• arning.Experience deploying research to production is highly
• valued.Demonstrated ability to independently explore, prototype, and ship r

esults.Background in following areas pr

• eferred:Neural Radiance Field
• s (NeRF)Gaussian S
• plattingDifferentiable r
• enderingDiffusio
• n models3D diffusion/generativ
• e modelsPrompt engi
• neering.Signed distance fiel