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CarCutter
CarCutter
51 – 200 Employees
AutomotiveMarketingSaaS
CarCutter develops AI-powered imaging and merchandising software for automotive dealerships, dealership groups, and vehicle marketplaces. Its platform helps teams capture and prepare vehicle photography through mobile guidance, automated background replacement, image enhancement, 360° spins, interactive hotspots, and virtual showrooms. Centralized tools in CarCutter Hub support consistent visual standards, analytics, workflow automation, and publishing across multiple rooftops, with integrations into inventory, dealer management, and marketplace systems. The company’s hiring context spans automotive technology, SaaS, and marketing as it builds software that helps vehicle sellers bring listings to market more efficiently and present inventory more consistently.
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Senior/Lead Computer Vision Engineer at CarCutter - Hybrid France

Lead production computer vision and generative AI development for CarCutter’s automotive imagery platform. Own research, deployment, optimization, evaluation, and technical guidance across the AI lifecycle.

FRFrance
€75,000 – €90,000 / year
HybridFull-timeSeniorEnglish RequiredComputer Vision EngineerMachine Learning Engineer
PythonPyTorch

Description

  • Take computer vision and generative AI capabilities from initial research and prototypes through staging and production.
  • Benchmark modern computer vision and generative AI approaches against rigorous, real-world use cases.
  • Build and optimize production pipelines for inference speed, scalability, reliability, and cost efficiency.
  • Share technical knowledge, working practices, resources, and engineering standards with the team.
  • Partner with software engineers, product managers, and stakeholders to deliver AI capabilities in customer-facing products.
  • Evaluate the maturity and commercial relevance of developments in computer vision, machine learning, and generative AI.
  • Help make technical choices that balance image quality, robustness, performance, and business constraints.
  • Document system architecture, model behavior, evaluation practices, and operational requirements.
  • Provide technical direction, mentoring, and ongoing knowledge sharing to colleagues.
  • Contribute to research activities and the hiring process, including technical interviews, live coding assessments, and reference checks.

Requirements

  • A master’s degree or PhD in computer science, machine learning, computer vision, or a related discipline.
  • At least six years of industry experience in AI, machine learning, or computer vision.
  • Strong Python programming ability.
  • Advanced proficiency with PyTorch.
  • Practical experience in classical image and signal processing.
  • Experience developing deep learning perception models for segmentation, detection, and refinement.
  • Experience working with generative models, including diffusion architectures.
  • Demonstrated ability to move AI systems into production, including deployment, monitoring, and ongoing improvement.
  • Strong analytical, written, and verbal communication skills.
  • Ability to connect technical choices to business priorities and constraints.
  • A high level of ownership, autonomy, and pragmatic judgment.
  • A results-focused approach suited to a fast-moving, competitive environment.
  • Fluent written and spoken English.

Benefits

  • Hybrid working arrangement with two remote days each week.
  • Opportunity to develop high-impact AI features used by customers at scale.
  • Work with large and varied datasets, including approximately 100 million images annually.
  • Access to high-quality training data supported by dedicated quality-control teams.
  • Collaborate within a small, ambitious team.
  • Opportunities for technical guidance, knowledge exchange, and mentoring.

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