Senior Computer Vision Engineer - Diffusely H/F Diffusely

Diffusely is an AI visual production platform for enterprise that redefines how automotive and fashion brands create and optimize visual content. Its AI-powered solutions help over 1,500 clients streamline production, cut costs, and accelerate time-to-market globally

AtCarCutter, we're redefining automotive sales with AI-driven image technology that helps dealerships and marketplaces sell more cars faster. We provide a cutting-edge SaaS solution trusted by the industry's top players.

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Position Overview
Location: Paris (France)

We are seeking a dynamic and innovative Computer Vision Engineer to join our team at Diffusely, focusing on our Automotive product line (B2B). As part of an agile, startup-like team, you will play a crucial role in advancing our AI-powered image processing solutions for Automotive industry.

About the Team and Products

Our CarCutter team is dedicated to revolutionizing image enhancement and editing through cutting-edge AI and computer vision technologies. CarCutter is an advanced mobile-based and web-based platform that offers state-of-the-art tools to streamline and enhance the image editing workflow.

Our computer vision engineers thrive in a feature team setup, working closely with cross-functional members to deliver impactful solutions. This collaborative structure fosters innovation and efficient problem-solving.

Our Product
CarCutter - Automotive AI Solutions

We're redefining automotive sales with AI-driven image technology that helps dealerships and marketplaces sell more cars faster. We provide a cutting-edge SaaS solution trusted by the industry's top players.

Some of our features:

- AI Backgrounding & Virtual Showrooms: Hyper-realistic 3D backgrounds with 360° virtual spin matched to each vehicle angle with precision cut-outs and grounded shadows studio quality results without the physical showroom.

- Centralized Control (CarCutter Hub): Manage and track your inventory visuals from one powerful, centralized dashboard.

- Marketplace-wide Branding: Unify your catalog with customizable, brand-consistent listings including plate inlay.

As a Senior Computer Vision Engineer, you will own features end-to-end, from research and prototyping through to scalable, production-grade deployment. Your work will directly shape how real estate professionals present properties, enabling high-quality visual content to be produced effortlessly at scale.

At CarCutter, AI is built to deliver best-in-class e-commerce imagery in a highly competitive market. We actively leverage the latest generative technologies (e.g. image-to-video), while holding ourselves to strict standards of efficiency and commercial viability.

You will evaluate existing technologies (APIs or open-source models) with a scientific and pragmatic approach, benchmark them against real-world use cases, deploy solutions to staging and production environments, and optimize inference performance for large-scale usage.

Key Responsibilities

- Own computer vision and generative AI features end-to-end, from research and prototyping through to staging and production deployment.
- Evaluate state-of-the-art computer vision and GenAI technologies (open-source or API-based) using a rigorous, scientific approach, benchmarking performance against real-world use cases.
- Design, implement, and optimize production-grade pipelines with a strong focus on inference performance, scalability, and cost efficiency.
- Collaborate closely with software engineers, product managers, and other stakeholders to integrate AI solutions into customer-facing products.
- Stay up to date with advances in computer vision, machine learning, and generative models, and assess their relevance and maturity for production use.
- Produce clear technical documentation covering system design, model behavior, evaluation methodology, and operational considerations.

Qualifications/Skills

- Master's or PhD in Computer Science, Machine Learning, Computer Vision, or a related field, with 5+ years of industry experience in AI and computer vision.
- Strong proficiency in Python and deep expertise in PyTorch.
- Hands-on experience across the computer vision stack, including classical image processing and signal-processing techniques, deep learning-based perception models (e.g. segmentation, detection, refinement), and generative models such as diffusion architectures, with the ability to make informed trade-offs between quality, robustness, and performance.
- Demonstrated ability to take AI systems from concept to production, including deployment, monitoring, and iterative improvement.
- Strong analytical and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders, and to align technical decisions with business constraints.
- High degree of ownership and autonomy, with a pragmatic, results-driven mindset suited to fast-moving, competitive environments.
- Fluent in written and spoken English.

Preferred:

- Contributions to open-source AI or computer vision projects.
- Experience with CI/CD pipelines for machine learning systems.
- Practical experience deploying and operating models in the cloud, preferably on AWS, including inference performance optimization.

Why join us:

- Work on production-grade computer vision and generative AI systems used at scale by real customers.
- Tackle challenging technical problems at the intersection of image quality, performance, and commercial constraints.
- Competitive salary and benefits.
- Opportunities for professional growth in a fast-moving, product-focused AI team.
- Hybrid work model with two days of remote work per week.
- Collaborative and inclusive work environment based in Paris.

Hiring process:

- A first call with a member of our Talent Acquisition Team
- A second interview to discuss technical expertise and give you more details about the position and the team.
- Technical test: a live coding session to assess your real-time coding skills and approach to problem-solving.
- Final Interview with the manager and our CTO to discuss your fit within the team and company culture.
- Reference check

Even if you don't meet all the qualifications, we are open to any application of interest!

Diffusely is an AI visual production platform for enterprise that redefines how automotive and fashion brands create and optimize visual content. Its AI-powered solutions help over 1,500 clients streamline production, cut costs, and accelerate time-to-market globally

AtCarCutter, we're redefining automotive sales with AI-driven image technology that helps dealerships and marketplaces sell more cars faster. We provide a cutting-edge SaaS solution trusted by the industry's top players.

/

We are seeking a dynamic and innovative Computer Vision Engineer to join our team at Diffusely, focusing on our Automotive product line (B2B). As part of an agile, startup-like team, you will play a crucial role in advancing our AI-powered image processing solutions for Automotive industry.

Our CarCutter team is dedicated to revolutionizing image enhancement and editing through cutting-edge AI and computer vision technologies. CarCutter is an advanced mobile-based and web-based platform that offers state-of-the-art tools to streamline and enhance the image editing workflow.

Our computer vision engineers thrive in a feature team setup, working closely with cross-functional members to deliver impactful solutions. This collaborative structure fosters innovation and efficient problem-solving.

We're redefining automotive sales with AI-driven image technology that helps dealerships and marketplaces sell more cars faster. We provide a cutting-edge SaaS solution trusted by the industry's top players.

Some of our features:

- AI Backgrounding & Virtual Showrooms: Hyper-realistic 3D backgrounds with 360° virtual spin matched to each vehicle angle with precision cut-outs and grounded shadows studio quality results without the physical showroom.

- Centralized Control (CarCutter Hub): Manage and track your inventory visuals from one powerful, centralized dashboard.

- Marketplace-wide Branding: Unify your catalog with customizable, brand-consistent listings including plate inlay.

As a Senior Computer Vision Engineer, you will own features end-to-end, from research and prototyping through to scalable, production-grade deployment. Your work will directly shape how real estate professionals present properties, enabling high-quality visual content to be produced effortlessly at scale.

At CarCutter, AI is built to deliver best-in-class e-commerce imagery in a highly competitive market. We actively leverage the latest generative technologies (e.g. image-to-video), while holding ourselves to strict standards of efficiency and commercial viability.

You will evaluate existing technologies (APIs or open-source models) with a scientific and pragmatic approach, benchmark them against real-world use cases, deploy solutions to staging and production environments, and optimize inference performance for large-scale usage.

- Own computer vision and generative AI features end-to-end, from research and prototyping through to staging and production deployment.
- Evaluate state-of-the-art computer vision and GenAI technologies (open-source or API-based) using a rigorous, scientific approach, benchmarking performance against real-world use cases.
- Design, implement, and optimize production-grade pipelines with a strong focus on inference performance, scalability, and cost efficiency.
- Collaborate closely with software engineers, product managers, and other stakeholders to integrate AI solutions into customer-facing products.
- Stay up to date with advances in computer vision, machine learning, and generative models, and assess their relevance and maturity for production use.
- Produce clear technical documentation covering system design, model behavior, evaluation methodology, and operational considerations.

Own computer vision and generative AI features end-to-end, from research and prototyping through to staging and production deployment.

Evaluate state-of-the-art computer vision and GenAI technologies (open-source or API-based) using a rigorous, scientific approach, benchmarking performance against real-world use cases.

Design, implement, and optimize production-grade pipelines with a strong focus on inference performance, scalability, and cost efficiency.

Collaborate closely with software engineers, product managers, and other stakeholders to integrate AI solutions into customer-facing products.

Stay up to date with advances in computer vision, machine learning, and generative models, and assess their relevance and maturity for production use.

Produce clear technical documentation covering system design, model behavior, evaluation methodology, and operational considerations.

- Master's or PhD in Computer Science, Machine Learning, Computer Vision, or a related field, with 5+ years of industry experience in AI and computer vision.
- Strong proficiency in Python and deep expertise in PyTorch.
- Hands-on experience across the computer vision stack, including classical image processing and signal-processing techniques, deep learning-based perception models (e.g. segmentation, detection, refinement), and generative models such as diffusion architectures, with the ability to make informed trade-offs between quality, robustness, and performance.
- Demonstrated ability to take AI systems from concept to production, including deployment, monitoring, and iterative improvement.
- Strong analytical and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders, and to align technical decisions with business constraints.
- High degree of ownership and autonomy, with a pragmatic, results-driven mindset suited to fast-moving, competitive environments.
- Fluent in written and spoken English.

Master's or PhD in Computer Science, Machine Learning, Computer Vision, or a related field, with 5+ years of industry experience in AI and computer vision.

Strong proficiency in Python and deep expertise in PyTorch.

Hands-on experience across the computer vision stack, including classical image processing and signal-processing techniques, deep learning-based perception models (e.g. segmentation, detection, refinement), and generative models such as diffusion architectures, with the ability to make informed trade-offs between quality, robustness, and performance.

Demonstrated ability to take AI systems from concept to production, including deployment, monitoring, and iterative improvement.

Strong analytical and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders, and to align technical decisions with business constraints.

High degree of ownership and autonomy, with a pragmatic, results-driven mindset suited to fast-moving, competitive environments.

Fluent in written and spoken English.

- Contributions to open-source AI or computer vision projects.
- Experience with CI/CD pipelines for machine learning systems.
- Practical experience deploying and operating models in the cloud, preferably on AWS, including inference performance optimization.

Contributions to open-source AI or computer vision projects.

Experience with CI/CD pipelines for machine learning systems.

Practical experience deploying and operating models in the cloud, preferably on AWS, including inference performance optimization.

- Work on production-grade computer vision and generative AI systems used at scale by real customers.
- Tackle challenging technical problems at the intersection of image quality, performance, and commercial constraints.
- Competitive salary and benefits.
- Opportunities for professional growth in a fast-moving, product-focused AI team.
- Hybrid work model with two days of remote work per week.
- Collaborative and inclusive work environment based in Paris.

Work on production-grade computer vision and generative AI systems used at scale by real customers.

Tackle challenging technical problems at the intersection of image quality, performance, and commercial constraints.

Competitive salary and benefits.

Opportunities for professional growth in a fast-moving, product-focused AI team.

Hybrid work model with two days of remote work per week.

Collaborative and inclusive work environment based in Paris.

- A first call with a member of our Talent Acquisition Team
- A second interview to discuss technical expertise and give you more details about the position and the team.
- Technical test: a live coding session to assess your real-time coding skills and approach to problem-solving.
- Final Interview with the manager and our CTO to discuss your fit within the team and company culture.
- Reference check

A first call with a member of our Talent Acquisition Team

A second interview to discuss technical expertise and give you more details about the position and the team.

Technical test: a live coding session to assess your real-time coding skills and approach to problem-solving.

Final Interview with the manager and our CTO to discuss your fit within the team and company culture.

Reference check

Even if you don't meet all the qualifications, we are open to any application of interest!

Diffusely (formerly Meero) is an AI media enhancement company that leverages its cutting-edge media processing platform to develop tailored products for specific verticals (Fashion, Automotive, Real Estate..)

By creating and seamlessly incorporating state-of-the-art AI models, Diffusely empowers businesses to elevate their visual assets at scale, boosting engagement and conversion.