Senior/Staff Machine Learning Engineer
Vestiairecollective
<div>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.</div><div><br></div><div>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. </div><div><br></div><div> <h3 style="margin-top: 14pt; margin-bottom: 4pt;"><strong><span style="font-size: 13pt; font-family: Arial, sans-serif;">About the Role</span></strong></h3> <p style="margin-top: 12pt; margin-bottom: 12pt;"><span style="font-size: 11pt; font-family: Arial, sans-serif;">We are seeking a </span><strong><span style="font-size: 11pt; font-family: Arial, sans-serif;">Foundational Machine Learning Engineer</span></strong><span style="font-size: 11pt; font-family: Arial, sans-serif;"> 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.</span></p> <h3 style="margin-top: 14pt; margin-bottom: 4pt;"><strong><span style="font-size: 13pt; font-family: Arial, sans-serif;">What You Will Do</span></strong></h3> <ul style="margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;"> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 12pt; margin-bottom: 0pt;"><strong><span style="font-size: 11pt;">Short-Term Impact (First 6 Months):</span></strong><span style="font-size: 11pt;"> 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 models focused on fraud detection and luxury product authentication, immediately improving our trust and safety ecosystem.</span></p> </li> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 0pt; margin-bottom: 0pt;"><strong><span style="font-size: 11pt;">Mid-Term Foundation (MLOps Lifecycle & Infrastructure):</span></strong><span style="font-size: 11pt;"> Lead the end-to-end foundational groundwork of our ML lifecycle by designing robust systems for Data & Feature Management, Model Tracking & Registry, and Model Serving & Monitoring. You will scale infrastructure by automating continuous retraining pipelines that handle diverse deployment cadences (from daily fraud detection to weekly recommendations), design resilient multi-model architectures, and critically evaluate the technical overhead and TCO of our in-house tools against enterprise-grade platforms to ensure long-term resilience.</span></p> </li> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 0pt; margin-bottom: 12pt;"><strong><span style="font-size: 11pt;">Long-Term Vision (Centralizing 360-Degree MLE Capabilities):</span></strong><span style="font-size: 11pt;"> Act as a pioneer and cornerstone hire for the ML engineering discipline at Vestiaire Collective, setting the technical standards to help scale the AI/ML organization. You will transition into a centralized foundational role, moving beyond single-squad operations to mentor the team and provide horizontal ML infrastructure support to multiple domains, including Search, Discovery, Pricing, Marketing, and Data Platforms.</span></p> </li> </ul> <h3 style="margin-top: 14pt; margin-bottom: 4pt;"><strong><span style="font-size: 13pt; font-family: Arial, sans-serif;">Who You Are</span></strong></h3> <p style="margin-top: 12pt; margin-bottom: 12pt;"><strong><span style="font-size: 11pt; font-family: Arial, sans-serif;">Must-Haves:</span></strong></p> <ul style="margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;"> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 12pt; margin-bottom: 0pt;"><strong><span style="font-size: 11pt;">Experience:</span></strong><span style="font-size: 11pt;"> 5-8+ years of hands-on experience in Machine Learning Engineering, specifically focused on building and scaling MLOps infrastructure and productionizing ML systems.</span></p> </li> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 0pt; margin-bottom: 0pt;"><strong><span style="font-size: 11pt;">Production Infrastructure:</span></strong><span style="font-size: 11pt;"> Proven expertise in deploying low-latency, high-throughput ML inference services (using FastAPI, TorchServe, Triton Inference Server, or Ray Serve) across both classical lightweight and heavy-width ML models (PyTorch/TensorFlow). Strong preference for AWS (EKS, EC2, SageMaker) / Snowflake and Open Source ecosystems over GCP/Azure.</span></p> </li> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 0pt; margin-bottom: 0pt;"><strong><span style="font-size: 11pt;">MLOps & Pipelines:</span></strong><span style="font-size: 11pt;"> Deep experience building automated, continuous model retraining pipelines to handle concept drift (ranging from daily to weekly cycles). You have orchestrated decoupled, multi-model AI architectures using tools like Airflow, Kubeflow, or Metaflow, and possess strong expertise in model registry and tracking tools like MLflow or Weights & Biases.</span></p> </li> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 0pt; margin-bottom: 0pt;"><strong><span style="font-size: 11pt;">Feature Stores:</span></strong><span style="font-size: 11pt;"> Hands-on experience evaluating, building, or extensively leveraging online (Redis, DynamoDB) and offline (Snowflake, S3) Feature Stores in a production environment. Familiarity with frameworks like Feast or custom dbt-based pipelines is highly valued.</span></p> </li> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 0pt; margin-bottom: 0pt;"><strong><span style="font-size: 11pt;">Strategic Builder Mindset:</span></strong><span style="font-size: 11pt;"> You are an analytical builder who thinks long-term. You can successfully evaluate TCO for bespoke internal systems versus enterprise tools, anticipate technical liabilities, and design robust architectures that handle unpredictable peak traffic surges.</span></p> </li> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 0pt; margin-bottom: 12pt;"><strong><span style="font-size: 11pt;">Collaboration & Engineering Hygiene:</span></strong><span style="font-size: 11pt;"> Strong cross-functional communication skills. You excel at translating complex ML prototypes into highly scalable production code backed by strict version control, rigorous testing, and CI/CD best practices, seamlessly connecting data science innovation with backend engineering execution.</span></p> </li> </ul> <p style="margin-top: 12pt; margin-bottom: 12pt;"><strong><span style="font-size: 11pt; font-family: Arial, sans-serif;">Nice-to-Haves:</span></strong></p> <ul style="margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;"> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 12pt; margin-bottom: 0pt;"><strong><span style="font-size: 11pt;">Relevant Domain Expertise:</span></strong><span style="font-size: 11pt;"> Background in E-commerce, Single-SKU Marketplaces, Search & Recommendation, Trust & Safety, or Counterfeit Detection.</span></p> </li> <li style="font-size: 11pt; font-family: Arial, sans-serif;"> <p style="margin-top: 0pt; margin-bottom: 12pt;"><strong><span style="font-size: 11pt;">Vision, Edge & Optimization:</span></strong><span style="font-size: 11pt;"> Hands-on experience with Vector Databases, Visual RAG pipelines, deploying Deep Learning VLM models, and optimizing models for edge computing or low-latency inference (e.g., ONNX, TensorRT).</span></p> </li> </ul> <strong><span style="font-size: 11pt; font-family: Arial, sans-serif;">Infrastructure & Observability:</span></strong><span style="font-size: 11pt; font-family: Arial, sans-serif;"> Advanced experience with containerization (Docker, Kubernetes), Infrastructure as Code (Terraform), and data transformation workflows (dbt). Familiarity with setting up advanced monitoring for model performance, concept drift, and system health (Datadog, Prometheus).</span></div><div><b>What we offer </b>🎁</div><div><br></div><div>A meaningful job with an impact on the way people consume fashion and promote sustainability</div><div>The opportunity to do career-defining work in a fast-growing French-born scale up</div><div>The possibility to work as part of a globally diverse team with more than 50 nationalities </div><div>Two days to help Project - reinforcing your activist journey and volunteer for an association</div><div>Significant investment in your learning and growth</div><div>Competitive compensation and benefits package (i.e 28 days of paid time off)</div><div><br></div><div>Research indicates that people from underrepresented backgrounds<span style="font-size: 10px">—</span>including women, people with disabilities, and other marginalized communities<span style="font-size: 10px">—</span>often hesitate to apply for roles unless they meet every single requirement.</div><div><br></div><div>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.</div><div><br></div><div><b>Vestiaire Collective is an equal opportunities employer </b></div><div><br></div><div><b>Beware of Scams</b></div><div>Vestiaire Collective only contacts candidates via official emails ending ----- or </b><a style="font-size: 15px" ---------- . We never use WhatsApp, Telegram, or similar apps for job offers, nor will we ever request payments or banking details.</div><div><span style="font-size: 16px">If you receive a suspicious message, please report it to </span><a style="font-size: 15px" ----------<p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>