Vestiaire Collective group
Crawley, Sussex
Vestiaire Collective is the leading global online marketplace for desirable pre loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. We are proud to be a BCorp. Vestiaire Collective is looking for a Senior Software Engineer M/F/D to join the Offer Management team located in Paris. About the role: The Offer Management squad is at the heart of how buyers and sellers connect and make deals on Vestiaire Collective. We own and build the key features that power this interaction, including negotiation, messaging, and pricing strategies, ensuring a smooth, fair, and engaging experience for both sides. As a Senior Backend Engineer, you will play a central role in evolving these core capabilities. You will work closely with engineers across platforms (Android, iOS, Web), as well as product and design, to craft services that are scalable, reliable and impactful. This is a high impact role where technical decisions directly influence the user experience and business outcomes. What you will do Design and build scalable, high performance backend services and APIs that handle tens of millions of requests daily. Drive architecture decisions by contributing to technical design sessions and delivering clean, maintainable, long term solutions. Modernize the platform by leading the migration from our PHP monolith to Go based microservices and defining bounded contexts. Collaborate cross functionally with Product, Design, Data, and iOS/Android/Web engineers to deliver features that enhance user experience and personalization. Ensure system reliability by implementing strong observability practices, including monitoring, logging, and alerting, while addressing performance bottlenecks. Own the full delivery cycle, from technical design and implementation to deployment and production monitoring. Uphold high engineering standards through thoughtful code reviews, mentorship, and precise documentation. Continuously improve system performance, reliability, and the overall developer experience. Who you are Technical expertise: Mastery in either PHP or Go, with at least 5 years of experience in your primary language. Deep expertise in one is essential; experience in both is a plus. Architectural vision: Strong understanding of microservices architecture, distributed systems principles, and scalable design patterns. Proven builder: Track record of building and maintaining production systems that handle significant traffic and large data volumes. System design and code quality: Skilled in designing scalable, maintainable systems and writing clean, well tested, efficient code following best practices (SOLID, DDD, Hexagonal Architecture, etc.). Problem solver: Analytical mindset with meticulous attention to detail when debugging complex distributed systems. Product minded engineer: Appreciation for how technical decisions impact user experience, and ability to translate business requirements into technical solutions. Strong collaborator: Excellent communicator, able to articulate technical concepts clearly, defend your proposals with evidence, and stay open to team input. Autonomous and accountable: You take full ownership of your code and architecture, from design to delivery, and drive initiatives with minimal supervision. Our Tech Stacks includes: Languages: PHP, Go Application Framework: Symfony Data & Messaging Databases: MySQL/MariaDB, MongoDB Caching: Redis, Memcached Message Queuing & Streaming: RabbitMQ, Amazon SQS, Kafka Infrastructure & DevOps: AWS, Docker, Terraform, GitHub Documentation & Project Management: Jira, Swagger/OpenAPI Observability: Data Dog, Grafana What we offer A meaningful job with an impact on the way people consume fashion and promote sustainability The opportunity to do career defining work in a fast growing French born scale up The possibility to work as part of a globally diverse team with more than 50 nationalities Two days to help Project - reinforcing your activist journey and volunteer for an association Significant investment in your learning and growth Competitive compensation and benefits package As full member of our entrepreneurial project, you will be eligible to receive free shares Research indicates that people from underrepresented backgrounds- including women, people with disabilities, and other marginalized communities- often hesitate to apply for roles unless they meet every single requirement. At Vestiaire Collective, we believe that talent comes in many forms, and we're committed to creating an inclusive environment where everyone can thrive. Your unique perspective could be exactly what our team needs, so we encourage you to apply even if you don't tick every box. Vestiaire Collective is an equal opportunities employer Beware of Scams Vestiaire Collective only contacts candidates via official emails ending or . We never use WhatsApp, Telegram, or similar apps for job offers, nor will we ever request payments or banking details. If you receive a suspicious message, please report it to
Vestiaire Collective is the leading global online marketplace for desirable pre loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. We are proud to be a BCorp. Vestiaire Collective is looking for a Senior Software Engineer M/F/D to join the Offer Management team located in Paris. About the role: The Offer Management squad is at the heart of how buyers and sellers connect and make deals on Vestiaire Collective. We own and build the key features that power this interaction, including negotiation, messaging, and pricing strategies, ensuring a smooth, fair, and engaging experience for both sides. As a Senior Backend Engineer, you will play a central role in evolving these core capabilities. You will work closely with engineers across platforms (Android, iOS, Web), as well as product and design, to craft services that are scalable, reliable and impactful. This is a high impact role where technical decisions directly influence the user experience and business outcomes. What you will do Design and build scalable, high performance backend services and APIs that handle tens of millions of requests daily. Drive architecture decisions by contributing to technical design sessions and delivering clean, maintainable, long term solutions. Modernize the platform by leading the migration from our PHP monolith to Go based microservices and defining bounded contexts. Collaborate cross functionally with Product, Design, Data, and iOS/Android/Web engineers to deliver features that enhance user experience and personalization. Ensure system reliability by implementing strong observability practices, including monitoring, logging, and alerting, while addressing performance bottlenecks. Own the full delivery cycle, from technical design and implementation to deployment and production monitoring. Uphold high engineering standards through thoughtful code reviews, mentorship, and precise documentation. Continuously improve system performance, reliability, and the overall developer experience. Who you are Technical expertise: Mastery in either PHP or Go, with at least 5 years of experience in your primary language. Deep expertise in one is essential; experience in both is a plus. Architectural vision: Strong understanding of microservices architecture, distributed systems principles, and scalable design patterns. Proven builder: Track record of building and maintaining production systems that handle significant traffic and large data volumes. System design and code quality: Skilled in designing scalable, maintainable systems and writing clean, well tested, efficient code following best practices (SOLID, DDD, Hexagonal Architecture, etc.). Problem solver: Analytical mindset with meticulous attention to detail when debugging complex distributed systems. Product minded engineer: Appreciation for how technical decisions impact user experience, and ability to translate business requirements into technical solutions. Strong collaborator: Excellent communicator, able to articulate technical concepts clearly, defend your proposals with evidence, and stay open to team input. Autonomous and accountable: You take full ownership of your code and architecture, from design to delivery, and drive initiatives with minimal supervision. Our Tech Stacks includes: Languages: PHP, Go Application Framework: Symfony Data & Messaging Databases: MySQL/MariaDB, MongoDB Caching: Redis, Memcached Message Queuing & Streaming: RabbitMQ, Amazon SQS, Kafka Infrastructure & DevOps: AWS, Docker, Terraform, GitHub Documentation & Project Management: Jira, Swagger/OpenAPI Observability: Data Dog, Grafana What we offer A meaningful job with an impact on the way people consume fashion and promote sustainability The opportunity to do career defining work in a fast growing French born scale up The possibility to work as part of a globally diverse team with more than 50 nationalities Two days to help Project - reinforcing your activist journey and volunteer for an association Significant investment in your learning and growth Competitive compensation and benefits package As full member of our entrepreneurial project, you will be eligible to receive free shares Research indicates that people from underrepresented backgrounds- including women, people with disabilities, and other marginalized communities- often hesitate to apply for roles unless they meet every single requirement. At Vestiaire Collective, we believe that talent comes in many forms, and we're committed to creating an inclusive environment where everyone can thrive. Your unique perspective could be exactly what our team needs, so we encourage you to apply even if you don't tick every box. Vestiaire Collective is an equal opportunities employer Beware of Scams Vestiaire Collective only contacts candidates via official emails ending or . We never use WhatsApp, Telegram, or similar apps for job offers, nor will we ever request payments or banking details. If you receive a suspicious message, please report it to
Vestiaire Collective group
Crawley, Sussex
Vestiaire Collective is the leading global online marketplace for desirable pre loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. We are proud to be a BCorp. About the role We are seeking a highly skilled and experienced Staff Data Scientist to join our Operations and Customer Service department. You will be instrumental in developing advanced AI models that enhance both internal operational workflows and customer-facing experiences. This includes building systems that help our Curation team verify product quality and authenticity from customer-provided descriptions and images, as well as exploring and delivering new models aimed at improving how customers interact with our platform. The role requires strong end to end machine learning expertise and a user centric mindset to drive measurable improvements in accuracy, operational efficiency, and overall customer experience. What you will do Design and own end to end AI/ML solutions for item quality and authenticity detection, spanning: Image analysis (detecting marks, defects, wear, size inconsistencies). Text and metadata understanding (brand, sizing, category anomalies). Counterfeit and fraud detection models; Design, prototype, and iterate on AI models that directly power and improve customer facing experiences on our platform (e.g., smarter assistance). Collaborate closely with the Product and Curation teams to define requirements, integrate AI models into their workflow, and provide insights to enhance their verification processes. Advise and direct data/feedback collection for continuous improvement and monitoring of the performance of the models. Perform rigorous model evaluation, A/B testing, and continuous improvement of AI models. Work with engineering teams to ensure seamless deployment and integration of AI models into our existing platforms. Research and stay updated on the latest advancements in AI, machine learning, deep learning and computer vision to identify new opportunities and best practices. Mentor senior and mid level data scientists, raising the technical bar on modeling, data quality, and experimentation best practices. Communicate complex technical concepts and findings to both technical and non technical stakeholders. Who you are 6+ years of experience in data science, machine learning engineering, or AI development, with a strong focus on computer vision applications and customer facing models. Deep expertise in applied AI/ML (computer vision, anomaly detection, fraud/risk modeling). Track record of leading technical initiatives and influencing decisions across teams. Experience in architecturing, deploying, and maintaining AI systems at scale. Proficiency in programming languages such as Python and experience with relevant libraries/frameworks (e.g., TensorFlow, TorchServe, TensorflowServing, PyTorch, scikit learn, spaCy, Hugging Face Transformers, OpenCV). Deep understanding of machine learning algorithms, statistical modeling, and data manipulation techniques. Experience with data visualization tools and communicating insights effectively. Strong problem solving skills, with the ability to tackle complex, ambiguous problems. Ability to work independently and collaboratively in a fast paced, global team environment. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus. Experience building or maintaining customer service chatbot systems is a plus. Familiarity with database technologies (SQL, NoSQL) and cloud data warehouse (BigQuery/Snowflake). Excellent communication and interpersonal skills. Fluency in written and spoken English (please send your application in ENGLISH only). Our Tech Stacks includes Deep Learning & ML frameworks & Libraries: PyTorch, Tensorflow, Scikit learn, OpenCV, TorchServe, TensorflowServing. Model serving: Airflow, Torchserve, TFServing, Triton Inference Server, REST APIs, gRPC. Deployment: K8s. What we offer A meaningful job with an impact on the way people consume fashion and promote sustainability. The opportunity to do career defining work in a fast growing French born scale up. The possibility to work as part of a globally diverse team with more than 50 nationalities. Two days to help Project - reinforcing your activist journey and volunteer for an association. Significant investment in your learning and growth. Competitive compensation and benefits package. As full member of our entrepreneurial project, you will be eligible to free shares. Research indicates that people from under represented backgrounds- including women, people with disabilities, and other marginalized communities- often hesitate to apply for roles unless they meet every single requirement. At Vestiaire Collective, we believe that talent comes in many forms, and we're committed to creating an inclusive environment where everyone can thrive. Your unique perspective could be exactly what our team needs, so we encourage you to apply even if you don't tick every box. Vestiaire Collective is an equal opportunities employer Beware of Scams Vestiaire Collective only contacts candidates via official emails ending or . We never use WhatsApp, Telegram, or similar apps for job offers, nor will we ever request payments or banking details. If you receive a suspicious message, please report it to
Vestiaire Collective is the leading global online marketplace for desirable pre loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. We are proud to be a BCorp. About the role We are seeking a highly skilled and experienced Staff Data Scientist to join our Operations and Customer Service department. You will be instrumental in developing advanced AI models that enhance both internal operational workflows and customer-facing experiences. This includes building systems that help our Curation team verify product quality and authenticity from customer-provided descriptions and images, as well as exploring and delivering new models aimed at improving how customers interact with our platform. The role requires strong end to end machine learning expertise and a user centric mindset to drive measurable improvements in accuracy, operational efficiency, and overall customer experience. What you will do Design and own end to end AI/ML solutions for item quality and authenticity detection, spanning: Image analysis (detecting marks, defects, wear, size inconsistencies). Text and metadata understanding (brand, sizing, category anomalies). Counterfeit and fraud detection models; Design, prototype, and iterate on AI models that directly power and improve customer facing experiences on our platform (e.g., smarter assistance). Collaborate closely with the Product and Curation teams to define requirements, integrate AI models into their workflow, and provide insights to enhance their verification processes. Advise and direct data/feedback collection for continuous improvement and monitoring of the performance of the models. Perform rigorous model evaluation, A/B testing, and continuous improvement of AI models. Work with engineering teams to ensure seamless deployment and integration of AI models into our existing platforms. Research and stay updated on the latest advancements in AI, machine learning, deep learning and computer vision to identify new opportunities and best practices. Mentor senior and mid level data scientists, raising the technical bar on modeling, data quality, and experimentation best practices. Communicate complex technical concepts and findings to both technical and non technical stakeholders. Who you are 6+ years of experience in data science, machine learning engineering, or AI development, with a strong focus on computer vision applications and customer facing models. Deep expertise in applied AI/ML (computer vision, anomaly detection, fraud/risk modeling). Track record of leading technical initiatives and influencing decisions across teams. Experience in architecturing, deploying, and maintaining AI systems at scale. Proficiency in programming languages such as Python and experience with relevant libraries/frameworks (e.g., TensorFlow, TorchServe, TensorflowServing, PyTorch, scikit learn, spaCy, Hugging Face Transformers, OpenCV). Deep understanding of machine learning algorithms, statistical modeling, and data manipulation techniques. Experience with data visualization tools and communicating insights effectively. Strong problem solving skills, with the ability to tackle complex, ambiguous problems. Ability to work independently and collaboratively in a fast paced, global team environment. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus. Experience building or maintaining customer service chatbot systems is a plus. Familiarity with database technologies (SQL, NoSQL) and cloud data warehouse (BigQuery/Snowflake). Excellent communication and interpersonal skills. Fluency in written and spoken English (please send your application in ENGLISH only). Our Tech Stacks includes Deep Learning & ML frameworks & Libraries: PyTorch, Tensorflow, Scikit learn, OpenCV, TorchServe, TensorflowServing. Model serving: Airflow, Torchserve, TFServing, Triton Inference Server, REST APIs, gRPC. Deployment: K8s. What we offer A meaningful job with an impact on the way people consume fashion and promote sustainability. The opportunity to do career defining work in a fast growing French born scale up. The possibility to work as part of a globally diverse team with more than 50 nationalities. Two days to help Project - reinforcing your activist journey and volunteer for an association. Significant investment in your learning and growth. Competitive compensation and benefits package. As full member of our entrepreneurial project, you will be eligible to free shares. Research indicates that people from under represented backgrounds- including women, people with disabilities, and other marginalized communities- often hesitate to apply for roles unless they meet every single requirement. At Vestiaire Collective, we believe that talent comes in many forms, and we're committed to creating an inclusive environment where everyone can thrive. Your unique perspective could be exactly what our team needs, so we encourage you to apply even if you don't tick every box. Vestiaire Collective is an equal opportunities employer Beware of Scams Vestiaire Collective only contacts candidates via official emails ending or . We never use WhatsApp, Telegram, or similar apps for job offers, nor will we ever request payments or banking details. If you receive a suspicious message, please report it to