
Outsight · Paris
Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data. Operators of transportation hubs like airports and train stations but...
Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data.
Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction.
Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, Sophia-Antipolis (Nice) & Hong Kong. To support our global outreach, we also operate a commercial office in Spain.
You can find below an interesting link about who we are and what we do :
Insights about Outsight
Our Passenger Flow Traffic Monitoring solution is trusted by the world’s leading airports and train stations across four continents, including the most renowned hubs celebrated for their operational excellence and exceptional passenger experience. We also deploy our solutions in other markets such as Tourism, Retail and Sports.
Additionally, our Car Traffic Remote Monitoring product is trusted by several Tier 1 customers, including BMW.
As a Field Application Engineer in the Customer Delivery team, you are the customer's privileged point of contact for all aspects related to the deployment of our “Spatial Intelligence Platform” solutions intended for managers of public places (Airports, etc.) and “Real-time 3D perception” for developers of smart machines and systems (robotics, real-time mapping, automatic pilots, aerial inspection, etc.)
What will be your responsibilities?
Serve as the primary technical contact for deploying our solutions in public spaces and smart infrastructures
Lead product installations and manage customer feedback, ensuring a seamless experience from start to finish.
Analyze and resolve technical issues, contributing to product improvement.
Ensure customer Satisfaction. Develop and deliver training materials that help customers get the most out of the company's products and services. Deliver onboarding training to new customers to help customers understand and adopt Outsight solutions.
Generate new sales opportunities: Identify the right stakeholders in the existing customer portfolio, provide insights on customer needs and upcoming projects to the sales team. Help close deals by answering customer questions and addressing any concerns, delivering demo of Outsight solutions and attending to pre-sales customer meetings when requested
Collaborate with other teams: Work closely with other teams, such as sales, marketing, and product development. Provide valuable input on product features, marketing campaigns, and customer support initiatives, and in particular document Feature Requests (tagged as sales or delivery blockers).
What are the requirements for the role?
Master’s degree in Computer Science, Electrical, Industrial, Automotive, or Mechanical Engineering—or equivalent practical experience.
Minimum 3 years in a similar role, demonstrating effective project ownership, client-facing support, and technical engagement.
Proficient in Linux systems with the ability to independently deploy, configure, and troubleshoot software solutions in real-world environments.
Strong problem-solving mindset and autonomous troubleshooting skills, especially in undocumented or fast-changing situations.
Clear communicator with the ability to simplify and explain complex technical issues to both technical and non-technical stakeholders.
Solid IT and networking fundamentals (e.g., routing, firewalls, TCP/IP).
Fluent in English (French is a plus).
Proactive, detail-oriented, and capable of thriving in a fast-paced, collaborative startup setting.
Willing and able to travel for on-site deployments and client support.
Why join us?
Be part of the team pioneering Spatial Intelligence solutions at unprecedented scale—the breakthrough technology transforming how the world’s most prestigious airports, infrastructure operators, and smart cities understand and optimize physical flows.
As a 7-time Gartner-recognized category-defining leader with dozens of global awards including “Edge AI Product of the Year,” “LiDAR Leader Award,” “CES Best of Innovation” and many more, we’re backed by 37 patents and deployments with the most prestigious (and challenging) customers across four continents.
Join our international team of world-class experienced engineers and business leaders solving humanity’s most complex spatial challenges, from passenger flow optimization to autonomous robotics coordination, while working at the cutting edge of 3D AI, LiDAR perception, and real-time analytics.
Supported by rock-solid investors including BNP Paribas, BPI France, Energy Innovation Capital and Demeter who back our long-term vision, this is your opportunity to shape how physical and digital worlds interact, with the resources, growth trajectory, and technical challenges that will accelerate your career in ways traditional companies cannot offer.
YOUR IMPACT We are looking for a Senior Data Engineer to join the AI Team working on our AI Medical Companion. Your mission will be to build and optimize the data foundations that power safe, scalable, and impactful AI models. You will work on data infrastructure for LLM, VLM, and RAG-based systems, ensuring our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data. Your work will directly support health professionals in delivering better care while improving their work-life balance, ultimately impacting 80 million patients and 400,000 healthcare professionals across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. WHAT YOU'LL DO Your responsibilities include but are not limited to: * Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases * Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models * Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently * Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability * Integrate unstructured and structured data sources (text, speech, image, documents, metadata) into unified data models ready for AI consumption * Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI) * Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets * Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment WHO YOU ARE Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: * You have 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads * You have strong experience with the GCP data ecosystem and proficiency in Python and SQL * You have deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search) * You have experience designing data architectures for RAG, embeddings, or model training pipelines * You have knowledge of data governance, security, and compliance for sensitive or regulated data * You are fluent in English It would be fantastic if you: * You hold a Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field * You have familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning * You have experience with containerized environments (Docker, Kubernetes) and CI/CD for data workflows LIFE AT DOCTOLIB TECH * Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. * Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * Parent Care Program: receive one additional month of leave on top of the legal parental leave * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training OUR INTERVIEW PROCESS * Recruiter Interview * Technical Deep Dive * System Design Interview * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position * Tech stack: GCP, Python, SQL, NoSQL, Vector Databases, AI/ML * Full-time * Paris, France * Hybrid work setup (up to 2 remote days per week) * Start date: as soon as possible WE WELCOME EVERYONE At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! YOUR DATA PRIVACY All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
What you’ll do We are looking for a Principal Machine Learning Engineer to join the DS & AI organization at Doctolib. This is a transversal force multiplier role operating across all AI teams: Clinical, Productivity, Phone Assistant and ASR. Rather than working within a single feature team, you will own the cross-cutting technical challenges: defining how Doctolib's product and AI teams build agentic solutions, standardizing ML evaluation frameworks, and spreading strong engineering practices across the org. You will unblock teams, shape architecture decisions, and take on the deep technical work that requires senior ML judgment at scale, directly impacting the daily lives of 400,000 healthcare professionals and the health of 80 million patients. Building at Doctolib means delivering innovative products that measurably improve outcomes for care teams and patients alike. Technical Strategy & Architecture * Own cross-team ML architecture decisions, from model selection to production deployment patterns and strategic build vs. buy decisions * Define and drive adoption of rigorous evaluation frameworks across all AI teams, setting the standard for how Doctolib measures model and agentic performance * Establish shared production infrastructure patterns for AI: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability * Lead the technical design of agentic solutions and define how product teams across Doctolib build on top of AI capabilities * Elevate technical standards across the DS & AI org by influencing Staff and Senior ML Engineers through architecture reviews, technical guidance, and practice propagation * Partner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations (GDPR, MDR, EU AI Act) Who you are Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if: * You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives * You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning * You are expert in Python, PyTorch/Transformers for training, and vLLM for inference with a track record deploying ML systems in production (AWS/GCP) * You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience) * You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions Now it would be fantastic if you have: * Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues * Experience with EU healthcare regulations (GDPR, MDR, AI Act) * Prior work with clinical data or healthcare applications Life at Doctolib Tech * Our solutions are built on a single fully cloud-native platform supporting web and mobile interfaces across multiple languages and healthcare specialties. * Our stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically to empower patients and professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. What we offer * Free comprehensive health insurance for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers with Swile card (€8.50 value, €4.50 covered by Doctolib) * Work Council subsidy for sports club memberships or creative classes * 50% reimbursement of your public transport subscription * Parent Care Program: one additional month of leave on top of legal parental leave * For caregivers and workers with disabilities: remote policy adaptation, extra medical leave, and psychological support * Relocation support for international mobility * Access to premium AI tools for development and dedicated training The interview process * HR Screen * Hiring Manager Interview * Technical Interview * Technical Case Study * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more on our candidate experience page. Job details * Permanent position * Full-time * Paris, France * Hybrid work mode (up to 2 remote days per week) * Start date: as soon as possible We welcome everyone At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from or what you look like. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. We respect and celebrate diversity! The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply regardless of gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you have a disability, let us know if there's any way we can make the interview process smoother for you! Join us in building the healthcare we all dream of. Your data privacy All information transmitted via this form is processed by Doctolib for application management. For more on how we process your data, click here. For inquiries or to exercise your rights, contact us at hr.dataprivacy(at)doctolib.com.
SET A NEW PULSE FOR HEALTHCARE! We are looking for a Senior Machine Learning Engineer to join the Orchestration team in AI Health Assistant. Your mission will be to ensure our AI Health Companion behaves safely, reliably, and helpfully — for millions of patients and practitioners. You will work in a cross-functional team building robust evaluation pipelines for agentic AI systems, contributing directly to improving the quality and safety of AI-powered healthcare. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. WHAT YOU'LL DO Your responsibilities include but are not limited to: * Define and own the evaluation strategy for our AI agentic system — metrics, protocols, datasets, and tooling * Implement and maintain automated evaluation pipelines to monitor model quality, safety, and alignment across iterations * Run systematic experiments to assess reasoning, factuality, robustness, and user experience * Collaborate closely with model developers and research scientists to provide insights and drive iterative improvement * Contribute to research and internal knowledge sharing on LLM evaluation methodologies and best practices LIFE AT DOCTOLIB TECH * Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. * Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. WHO YOU ARE Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: * Hold an MSc or PhD in Computer Science, Machine Learning, Data Science, or a related field * Have 7+ years of hands-on experience working with large language models (e.g., GPT, Claude, Llama, or BERT-like architectures) * Have proven experience evaluating agentic or reasoning systems (e.g., autonomous agents, tool-using LLMs, dialogue systems, or task-oriented assistants) * Have a strong track record in experiment design, metric definition, and evaluation automation * Are able to bridge research and production, influencing both modeling and product decisions * Have excellent communication skills, a collaborative mindset, and are fluent in English It would be fantastic if you: * Have experience in the clinical or medical domain and sensitivity to ethical or regulatory challenges in healthcare AI WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training OUR INTERVIEW PROCESS * Recruiter Interview * Technical Deep Dive * Data System Design * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position * Full-time * Hybrid in our Levallois-Perret office (up to 2 remote days per week) * Start date: as soon as possible WE WELCOME EVERYONE At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! YOUR DATA PRIVACY All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.