Vestiaire Collective

Fashion Technology

Senior/StaffMachineLearningEngineer

€85–125k ~AI est. Berlin, Germany CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior/Staff Machine Learning Engineer at Vestiaire Collective. Skills: Machine Learning, MLOps, Infrastructure, Architecture. Build MLOps infrastructure. Drive AI authentication initiatives”

What You'll Achieve.

Improve trust and safety; Deliver high-throughput impact; Deliver low-latency impact

Industry & Context.

Fashion Technology
Problems you'll solve

Analytical builder; Root cause analysis; Troubleshooting

What They're Looking For.

Must Have

5-8+ years Machine Learning Engineering, Build and scale MLOps infrastructure, Productionize ML systems, Deploy low-latency, high-throughput ML inference services, Deploy classical lightweight ML models, Deploy heavy-width ML models, Automate continuous model retraining pipelines, Handle concept drift, Orchestrate decoupled, multi-model AI architectures, Evaluate TCO for internal systems, Anticipate technical liabilities, Design robust architectures, Handle unpredictable peak traffic surges, Cross-functional communication skills, Translate ML prototypes to production code, Strict version control, Rigorous testing, CI/CD best practices, Connect data science to backend engineering

Nice to Have

E-commerce domain expertise, Single-SKU Marketplaces domain expertise, Search & Recommendation domain expertise, Trust & Safety domain expertise, Counterfeit Detection domain expertise, Vector Databases experience, Visual RAG pipelines experience, Deep Learning VLM models experience, Optimize models for edge computing, Optimize models for low-latency inference, Advanced containerization experience, Advanced Infrastructure as Code experience, Advanced data transformation workflows experience, Set up advanced monitoring, Monitor model performance, Monitor concept drift, Monitor system health

What You'll Do.

Build MLOps infrastructure

Drive AI authentication initiatives

Deploy multi-model approaches

Deploy computer vision models

Detect counterfeit products

Scale foundational architecture

Expand ML capabilities

Power broader domains

Focus on search systems

Focus on recommendation systems

Expand into dynamic pricing

Expand into marketing technologies

Design robust architectures

Design decoupled architectures

Spearhead MLOps strategy

Prioritize system maintainability

Prioritize engineering hygiene

Ensure reliable deployment

Deliver high-throughput business impact

Deliver low-latency business impact

Partner with Operations squads

Partner with Data Scientists

Accelerate ML prototypes

Accelerate RAG prototypes

Improve trust and safety

Lead ML lifecycle groundwork

Design Data Management systems

Design Feature Management systems

Design Model Tracking systems

Design Model Registry systems

Design Model Serving systems

Design Model Monitoring systems

Automate retraining pipelines

Handle diverse deployment cadences

Design resilient architectures

Evaluate technical overhead

Set technical standards

Scale AI/ML organization

Provide horizontal ML infrastructure support

How You'll Work.

Team & Collaboration

Cross-functional communication; Operations squads; Data Scientists; Data Platform; Backend Engineering; Director of Data

Communication Scope

Cross-functional communication

Process & Methodology

Roadmap planning, Agile

Full Job Description

## Description 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 warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 600 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. About the Role We are seeking a Foundational Machine Learning Engineer for a high-impact greenfield opportunity to build our MLOps infrastructure from the ground up at Vestiaire Collective. While driving our AI authentication initiatives (deploying multi-model approaches including computer vision for luxury product authentication and counterfeit detection) will be your immediate focus, your long-term mission will be to scale foundational architecture across the entire marketplace. You will expand our ML capabilities to power broader domains, primarily focusing on search and recommendation systems, with future expansions into dynamic pricing and marketing technologies. Acting as the bridge among Applied Science, Data Platform, and Backend Engineering, you will design robust, decoupled architectures and spearhead the MLOps strategy with our Director of Data, prioritizing system maintainability, engineering hygiene, and the reliable deployment of complex models, ensuring all our ML models across the board deliver high-throughput, low-latency business impact. What You Will Do Short-Term Impact (First 6 Months): Partner closely with the Operations squads and Data Scientists to accelerate ML and RAG prototypes into resilient, production-ready code. You will directly integrate with the team to deploy, optimize, and scale heavy-width CV and VLM mo

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