Applied Research Engineer

Applied Researcher, Spyne

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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.

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

• y5X revenue growth in 15 months, now gunning for 3-4X more this yea
• rLaunched industry-first AI Image & 360° solution
• sExpanding aggressively in the US & Europ
• eNext up? A full GenAI Automotive Retail Suit

e
Read more about u

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

wM
Public links (Explore more across the web yourself as wel

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

lesJOB DESCRIP

TIONSpyne is building a new generation of AI-powered merchandising and voice+text agents for automotive dealerships — combining Computer Vision, Generative AI, Large Language Models, and speech intelligence into one multimodal stack. We’re looking for an AI Researcher who enjoys experimenting, building, and translating research into production-grade syst

ems.This role is for someone with 2–3 years of experience who wants to work across vision, language, and speech in a fast-moving applied R&D t

eam.JOB RESPONSIBIL

ITIESWhat will you wor

• k on?You’ll contribute to core R&D ac

• ross:Image and video transformation pipe

  lines using diffusion models, GANs, and 3D v

• isionAutomotive image quality, background generation, vehicle understa

• ndingVoice and text dealership a

  gents (ASR, TTS, dialogue models, retrieval-augmented

• LLMs)Multimodal intelli

  gence connecting vision ↔ text ↔ audio m

• odelsModel evaluation, data preparation, and iterative fine-t

  uning for productio
• n useThis role blends experimentation with real-world deployment — your work doesn’t sit in a notebook; it moves into prod

ucts.Your responsibi

• litiesImplement, train, and evaluate CV, LLM, and multimodal model components under guidance from senior resear
• chers.Build prototypes for generative image improvement, feature extraction, 3D reconstruction, and automated vehicle merchandising
• flows.Fine-tune LLMs and speech models for dealership-specific intent, reasoning, and natural conversa
• tions.Run experiments, maintain logs, compare baselines, and improve model performance through data-engineering and architectural ch
• oices.Collaborate with infra engineers to prepare models for low-latency inference and scalable se
• rving.Work closely with the Product team to shape research into production fea

tures.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.2–3 years of hands-on experience with deep learn

  ing in Computer Vision and/or N

  L
• P/LLMs.Strong comfort with PyTorch and modern training fram
• eworks.Understanding of model architectures such as CNNs, transformers, diffusion models, and basic 3D
• vision.Familiarity with LLM fine-tuning, embeddings, RAG, or speech models is a plus (not mand
• atory).Ability to read research papers, adapt ideas, and run structured exper
• iments.Strong coding, debugging, and data-prep
• skills.A mindset of building applied research that ships and

scales.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