Experienced/Senior Machine Learning Engineer - Squad Scribe

Doctrine

Our Mission ⚖️ At Doctrine, we're building Europe's leading legal AI platform. Our belief? Law shouldn't be slowed down by repetitive tasks. It should be augmented by a specialised AI, designed to understand, analyse and produce legal reasoning at the highest standard. Our ambition? To help legal professionals work with greater reliability, efficiency and peace of mind, through a single, comprehensive and secure platform. Today, 27,000 legal professionals across five countries (France, Italy, Germany, Spain and Luxembourg) trust us to do just that. Our growth is guided by a clear approach: a global vision, grounded in a deep understanding of local specificities. Behind this ambition, a team of around 250 people, united around one goal: supporting lawyers and legal professionals at every stage of their work, from research to drafting. And we're just getting started. Context We are looking for a confirmed/senior Machine Learning Engineer to help us build the first legal AI platform. Join a squad dedicated to revolutionizing how legal professionals advise clients and businesses across France and Europe. A high-impact product squad responsible for secondary legal sources and private documents. These are complex challenges where you will also contribute to embedding GenAI at the core of our products.  You can find full details about our stack on GitHub https://github.com/DoctrineLegal/#our-tech-stack !   Note: Previous professional experience in law is not required, but a willingness to learn and develop expertise in understanding legal documents is important 🙂

Vestiaire Collective

Vestiaire Collective is the leading global platform for desirable pre-loved fashion and a pioneer in transforming how people consume fashion.   Our mission is simple: make circular fashion the norm, not the exception. Through technology, expertise, and a highly engaged global community, we enable millions of people to buy and sell fashion in a more sustainable way.   Founded in Paris in 2009, Vestiaire Collective is now a globally scaled marketplace with offices in Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City, and logistics hubs across Europe, Asia, and the US. Today, we are a team of around 600 people from over 50 nationalities, united by a shared ambition: to drive meaningful change in the fashion industry.   Our values, Activism, Transparency, Dedication, Greatness, and Collective, shape how we build, collaborate, and grow every day. 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).

Alma

🧡 ABOUT ALMA At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started!   👐 ABOUT THE TEAM  The Developer Experience (DevX) squad is part or the Engineering’s Platform Tribe. The Platform Tribe groups the DevX squad and the Site Reliability Engineering quad. The members of the tribe are responsible for building the foundational infrastructure, security layers, and core systems that empower Alma's entire product and engineering organization to scale reliably.  You will join a dedicated squad focused entirely on the daily lives of our engineers: Our mission is to eliminate friction from a developer's machine all the way to production. We build, optimize, and maintain the delivery systems, local development environments, and CI/CD automation that allow our product teams to ship high-quality code safely, frequently, and with absolute confidence. We operate in a highly dynamic, polyglot environment. We are looking for an engineer driven by technical curiosity, who loves exploring new tools and technologies to continuously elevate our engineering standards. This is a full-time position, based in Paris or fully remote in France.   💼 ABOUT THE JOB * Own and continuously optimize our CI/CD pipelines and delivery workflows, ensuring fast feedback loops and secure deployments. * Build and evolve the local developer experience, making it seamless for engineers to spin up, test, and debug services locally across a variety of languages and frameworks. * Own and maintain part of our cloud infrastructure and container orchestration platforms using Terraform and Kubernetes. This will also require participating in identifying and solving infrastructure-related production issues and performance troubleshooting, upgrading our platforms for long-term resilience. * Be a technical referent and drive engineering standards forward by acting as a trusted partner for product engineering squads on delivery and infrastructure best practices, sharing expertise and providing guidance. * Encourage a culture of technical curiosity by frequently evaluating, benchmarking, and prototyping emerging technologies to bring the best tool sets to the team and promoting a culture of continuous learning across the org.   🧰 YOU WILL WORK WITH Python, TypeScript, PHP, Docker, Kubernetes, Terraform, GitHub Actions, GCP, Postgres and Datadog.   🧩 ABOUT YOU To succeed in this job * You've built at least 5 years of experience in a relevant role, ideally in DevOps or Platform Engineering. * You take ownership of cross-functional infrastructure initiatives, driving complex projects from design to delivery alongside multiple teams. * You have hands-on experience designing, building, and optimizing CI/CD pipelines end to end (GitHub Actions or equivalent). * You're comfortable building robust automation pipelines and modernizing local development environments. * You are fluent in french (primary working language) with a good level of English, for documentation, cross-team exchanges, and technical reading, writing as well as presenting. And it will be nice if you also * Have production-grade proficiency with Infrastructure as Code (not necessarily Terraform) and container orchestration (not necessarily Kubernetes). * Are familiar with an observability and monitoring stack (Datadog, Prometheus, or equivalent). * Have worked with local development environment tooling (Nix, mise, asdf, devenv, devcontainers, etc.). * Working knowledge of at least one language from Alma's stack (Python, TypeScript, or PHP), enough to read, debug, and contribute when needed. Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience.   🧘 WHAT’S IN IT FOR YOU If you join, you will be able to grow and impact on: * The infrastructure and tooling that directly shapes the productivity and confidence of every engineer at Alma. You'll have real ownership over your scope, the space to explore and prototype freely, and the support to take initiative. * The DevX squad, a dynamic, polyglot team where learning together is a core habit, not an afterthought. * Alma's growth across Europe, as the infrastructure you build directly enables us to scale reliably across 10 markets and more in the future, your work has a clear and measurable line to the business.   🤑 COMPENSATION & BENEFITS * Competitive salary based on 12 months * Profit-sharing and employee savings plan * Health insurance: 100% covered by Alma including family package * Disability insurance: 100% covered by Alma * Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities * Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. * Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) * Meal vouchers: €10/day, 50% covered by Alma * Mental health: free access to MindDay platform * Paid time off: 25 days/year ****(+ additional paid leave granted for employees on executive contracts) * Access to our Learning & Development Platform * 2 weeks of full remote possible per year in summer for people working in hybrid remote   🎯 INTERVIEW PROCESS * Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. * Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. * Case study presentation with 2 - 3 team members (ideally in house) to assess your practical knowledge**.** * Take-home coding test, followed by a remote feedback session. * Live system design interview to assess your practical and architectural knowledge. * A coffee chat with the squad you’ll join to further assess your skills and team fit.   🌍 DIVERSITY & INCLUSION At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs.