About the Role

Lead the development and deployment of production-grade machine learning systems, focusing on computer vision and vision-language models for fraud detection and luxury item verification, while establishing foundational infrastructure across the ML lifecycle.

Responsibilities

Collaborate with operations and data science teams to advance machine learning and retrieval-augmented generation prototypes into reliable, scalable production systems.
Deploy and optimize high-compute computer vision and vision-language models to strengthen trust, safety, and authentication processes.
Establish end-to-end ML infrastructure, including data and feature management, model tracking, registry, serving, and monitoring systems.
Automate retraining pipelines to support variable deployment frequencies across use cases such as fraud detection and recommendation systems.
Develop robust multi-model architectures and assess cost and complexity trade-offs between internal tools and enterprise platforms.
Serve as a founding member in shaping the ML engineering practice, defining technical standards and scalability frameworks.
Evolve into a central role providing cross-functional ML infrastructure support and mentorship across domains like search, discovery, pricing, marketing, and data platforms.

Benefits

Work on large-scale initiatives driving circular fashion and reducing environmental impact through product reuse.
Own high-visibility projects with measurable global impact across more than 70 countries.
Engage with a multicultural workforce representing over 50 nationalities across international offices.
Advance your career in a fast-growing tech environment with early ownership and leadership pathways.
Access dedicated learning resources, ongoing feedback, and opportunities in AI, marketplace design, and scalability.
Enjoy a hybrid work model allowing approximately two remote days per week, built on autonomy and trust.
Contribute to social impact through two annual paid days dedicated to causes of personal significance.
Receive competitive pay, performance bonus, health benefits, meal vouchers, fitness passes, and location-specific legal perks.

Work Arrangement

Hybrid — available in Paris, London, Berlin, New York, Singapore, Ho Chi Minh City

Team

Global team of approximately 600 members from over 50 nationalities

Other

Studies indicate that individuals from underrepresented groups, including women, people with disabilities, and marginalized communities, are less likely to apply unless they meet every listed qualification.
The organization values diversity as a catalyst for improved decision-making, product innovation, and broader societal impact.
Applicants who are passionate about the role but do not fully match the stated experience are strongly encouraged to apply.
The company is committed to equal opportunity employment and inclusive hiring practices.
Official communication will only occur through email addresses ending in @vestiairecollective.com or no-reply@hire.lever.co.
Messaging platforms such as WhatsApp or Telegram will never be used for recruitment purposes.
No payment or banking details will ever be requested during the hiring process.
Suspicious messages should be reported to talentacquisition@vestiairecollective.com.