Sr Applied Researcher, Spyne
Location: Gurgaon (In Office)
Reports To: CTO
Function: AI
--
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
.
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
es
JOB 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 ONYou will design foundational models and agent frameworks
- for:Premium automotive image creation (diffusion, 3D, NeRFs, SDFs, Gaussian Splat
- ting)Real-time voice agents (ASR, TTS, latency-optimized dialogue mo
- dels)Text-based reasoning agents for dealer workflows (lead handling, follow-ups, service f
- lows)Cross-modal intelligence (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
ds (SDF)
