(Senior) Applied Scientist, Search

Vestiaire Collective

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 models focused on fraud detection and luxury product authentication, immediately improving our trust and safety ecosystem. Mid-Term Foundation (MLOps Lifecycle & Infrastructure): 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. Long-Term Vision (Centralizing 360-Degree MLE Capabilities): 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. Who You Are Must-Haves: Experience: 5-8+ years of hands-on experience in Machine Learning Engineering, specifically focused on building and scaling MLOps infrastructure and productionizing ML systems. Production Infrastructure: 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. MLOps & Pipelines: 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. Feature Stores: 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. Strategic Builder Mindset: 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. Collaboration & Engineering Hygiene: 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. Nice-to-Haves: Relevant Domain Expertise: Background in E-commerce, Single-SKU Marketplaces, Search & Recommendation, Trust & Safety, or Counterfeit Detection. Vision, Edge & Optimization: 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). Infrastructure & Observability: 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).

Wolt

ABOUT WOLT At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Our Applied Scientists at Wolt build and deploy Applied Science and Machine Learning solutions to address a wide variety of challenging business problems. Utilizing a spectrum of methodologies including statistical analysis, machine learning, deep learning, and operations research, they improve critical processes within Wolt's online delivery platform and business operations. Their contributions significantly impact all 31 countries in which we operate. The work consists of owning applied science use cases as part of a product development team; starting from identifying opportunities, to developing and prototyping a solution, all the way to supporting its deployment, monitoring, and improving it in production. We use a variety of technologies and tools including Python, SQL, Snowflake, Flyte, MLflow and Seldon Core to get the job done, and are constantly looking for ways to improve how our applied scientists work. We are looking for an Applied Scientist specialized in Operations Research to be embedded into our cross-functional Logistics Assignments team. Together with other operations researchers, software engineers, and product, design and analytics people, you would develop algorithms and solutions for efficiently assigning tasks to our Courier Partners. Our task assignments engine is at the core of our logistics system. This is a unique opportunity to work on challenging operations research problems at a large scale. You will have great potential to make a significant impact by tackling complex problems and building new solutions to improve the efficiency of our logistics operations and, hence, our business. 📍This role can be based in one of our tech hubs in Helsinki, Berlin, or Stockholm.  OUR HUMBLE EXPECTATIONS * Solid experience in Operations Research and production-level Applied Science projects, with the ability and interest to own solutions end-to-end: from prototyping to deployment, maintenance, and continuous improvement. * Deep understanding of Operations Research principles and a strong foundation in statistics. * Proven ability to work in highly complex domains, break down challenging problems into manageable parts, and develop innovative solutions. Comfortable explaining technical concepts to non-technical stakeholders. * Experience within logistics, optimization, or operational research domains is highly valued. * Knowledge of experimental design and analysis, including A/B testing. * Strong engineering skills with fluent coding ability in Python (our primary language for Applied Science projects) and experience working with databases (SQL). Experience with C++ or Go is a plus. * You value good software engineering practices, understand MLOps, and take pride in the quality of your code and the performance of your solutions. * Ideally, a degree in a field related to Operations Research or Applied Science. * Analytical, curious, business-oriented, and proactive mindset, with the ability to independently drive work forward while collaborating effectively with stakeholders across teams. NEXT STEPS The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie. OUR COMMITMENT TO DIVERSITY AND INCLUSION We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Artefact

WHO/WHAT IS ARTEFACT? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. As a Senior Consultant (m/f/d) Data & AI Strategy, you will sit at the center of this mission. You won't just deliver static slides; you will bridge the gap between technical possibilities and business imperatives, guiding clients from a focused short-term engagement with Mittelstand manufacturers to multi-phase AI transformations with enterprises. In this role, you will take ownership of cross-functional workstreams, drive data-driven decision-making, and actively shape the digital future of our clients.   WHAT YOU WILL DO: * Client advisory & strategy: Work closely with (international) clients to understand their business needs and translate them into data-driven recommendations that support strategic decision-making and business transformation. * Data & analysis: Collect, synthesise and iterate data to create actionable insights. You work with a modern, AI-native toolstack - from LLM-powered environments (e.g. Claude, Gemini, ChatGPT) and agentic workflow tools (e.g. n8n, Lovable) to coding assistants and automation platforms - and communicate findings clearly to both technical and non-technical stakeholders. Familiarity with SQL or Python remains a plus, but the ability to leverage AI tools to accelerate analysis and delivery is what we value most. * Project delivery: Take ownership of project workstreams and ensure high-quality, timely delivery in alignment with overall project goals. Work collaboratively within interdisciplinary teams across consulting, data, and tech functions. * Data & AI solutions: Support the development of data strategies, AI use cases, and business intelligence solutions, contributing to governance frameworks and implementation roadmaps where relevant. * Knowledge sharing & collaboration: Contribute to a strong team culture by sharing knowledge, staying up to date with digital and AI trends, and supporting continuous team development. * Business development & thought leadership: Actively contribute to Artefact’s growth in Germany - supporting client proposals, shaping new service offerings, and creating intellectual capital such as frameworks, point-of-views, and benchmarks that strengthen our market position.   CANDIDATE PROFILE At our heart, we define ourselves by a culture of ownership, intellectual curiosity, and cooperation. We are looking for driven, capable talents who bring strong motivation and curiosity for new challenges.  * Experience: You have at least 2–3 years of experience in management consulting, technology consulting, or in-house corporate strategy roles, with a proven track record of participating in data/AI strategy, cloud transformation, or applied AI/Machine Learning projects. * Education: A completed university degree (Bachelor’s or Master's) in Business Administration, Economics, Computer Science, Business Informatics, Physics, Mathematics, or a comparable quantitative field. * Data & AI Fluency: You possess a strong affinity for data management and modern AI technologies. You are familiar with concepts like Generative AI, LLMs, or predictive analytics and are eager to bridge the gap between business needs and AI deployment. Ideally, you have hands-on experience in AI use case conceptualization or data platform tracking. * Business & analytical mindset: You combine strong analytical skills with a business-oriented perspective. You enjoy identifying business problems and translating them into practical AI and data-driven solutions. * Technical skills: You are confident working with PowerPoint and Google Slides to produce polished client-ready output. More importantly, you know how to leverage AI tools - from LLM environments to agentic workflows - to run analysis, generate insights, and accelerate delivery. Experience with SQL, BI tools, or programming languages is not a requirement, but comfort with structured data and a hands-on attitude toward new tools is expected. * Communication & collaboration: You communicate complex technical topics clearly in both German and English. You enjoy working in interdisciplinary teams and collaborating across different levels and functions (e.g., translating requirements between business stakeholders and data scientists). * Personal attributes: You are proactive, structured, and solution-oriented, with a strong client focus and stakeholder understanding. You thrive in dynamic environments and enjoy solving complex problems. * Languages: Business-fluent German and English are required - you will participate in client workshops, present to senior stakeholders, and write deliverables in both languages. Additional languages are a plus. * Work Eligibility: A valid work permit for Germany.   WHY ARTEFACT? * Impactful client work: Work on challenging projects with leading national and international clients across data, digitalisation, and advanced data strategy. * Career growth opportunities: We believe in performance over tenure. Your growth is driven by your impact, not your length of service, with clear opportunities to progress and diverse career prospects. * Competitive rewards: A strong compensation package including a performance-based bonus, which is paid out half-yearly. * Learning & development: Join a team of passionate Data Consultants who actively support each other. You'll learn through diverse projects, collaboration, and exposure to leading experts in the field - including international work. * Flexibility & time off: Hybrid working model, 28 days of annual leave, plus your birthday as well as Christmas & New Year's Eve off.   This position is based in Berlin or Munich. Don't worry if you don't meet all the criteria! At Artefact, we value motivation, pragmatic problem-solving, and potential above all else.If you are excited about shaping the future of AI and ready to make a real impact, we'd love to hear from you. Diversity & Inclusion at Artefact > We believe that unique perspectives fuel innovation. At Artefact, we are committed to creating an inclusive environment where everyone can thrive. We welcome and consider all applications purely based on merit, skills, and potential - regardless of gender identity, sexual orientation, race, ethnicity, religion, age, background, or disability. Come as you are! Ready to take the next step? Please submit your CV showcasing your experience and passion for this role as a Senior Consultant (m/f/d) Data & AI Strategy. We look forward to receiving your application!   If you have any questions, feel free to send us a message at bewerbung-de@artefact.com.