About FareHarborAt FareHarbor, our mission is to make experiences better for everyone. Founded in 2013 in Hawaii and acquired by Booking Holdings in 2018, FareHarbor creates powerful tools that enable our clients (think boat rentals, museums, food tours, events and more!) to operate and grow.With over 20,000 clients across 90+ countries—we’re the largest in our industry and shaping the future of travel, together.Our team is an ‘Ohana of 700+ people around the world. We’re passionate about pioneering an industry, embracing challenges with open arms, and delivering value to the experiences industry.About The RoleFareHarbor (a Booking Holdings company) is looking for a Machine Learning Engineer to join our Pricing & Revenue Management domain. You’ll work on ML systems that optimize pricing, revenue, and marketplace efficiency, owning models from experimentation through production.This role is focused on hands-on model development and production delivery, with growing ownership over systems and experiments.What You’ll Do HereDesign and build scalable, reliable backend features across our productsTranslate business requirements into practical technical solutionsEstimate effort, deliver incrementally, and communicate progress clearlyPrioritize tasks, identify dependencies, and flag risks earlyTroubleshoot production issues and improve reliability through root-cause analysisContribute to secure coding practices and review code with a security mindsetCollaborate closely with product, design, and other engineering teamsHelp improve team processes and share knowledge with teammatesModeling & AlgorithmsDesign, implement, and evaluate ML models for revenue and margin optimizationTranslate pricing and revenue requirements into concrete optimization or prediction problemsApply supervised learning, reinforced learning (eg mult armed or contextual bandits) and statistical techniques to structured, real-world pricing dataExperimentation & AnalysisDesign and run A/B tests and controlled experiments to validate pricing strategiesDefine, track, and interpret key metrics such as revenue, conversion, utilization, and marginPerform post-experiment analysis and translate results into model improvements and product changesProduction EngineeringDevelop and maintain production-grade ML pipelines and services for pricing use casesIntegrate monitoring to ensure robustness, reliability, and safe rolloutsCollaborate with backend engineers to integrate ML pricing services into the FareHarbor platformRequirements3+ years of experience working on production ML systemsStrong Python and SQL skillsSolid foundation in applied statistics and machine learning theoryHands-on experience with end-to-end ML pipelines development and lifecycle support (data pipeline, feature generation, model training, deployment and inference, monitoring, rollback strategies)Understanding of data pipeline orchestration principles (Airflow, dbt)Experience with Cloud Computing Platforms (preferred AWS: S3, EC2, ECR, SQS)Experience designing and evaluating experiments (A/B tests) and tying results to business metricsExperience with common ML frameworks (scikit-learn, gradient boosting frameworks, PyTorch or TensorFlow)Nice to haveExposure to dynamic pricing, revenue management, marketplaces, or e-commerceFamiliarity with reinforcement learning approachesExperience with ML tooling (Metaflow, MLflow, feature stores, SageMaker)Benefits Global leave benefit22 weeks paid parental leave2 weeks paid grandparent leaveExtended care and bereavement leaveLife insurance policyPension PlanCentral Amsterdam LocationDiscount CZ insuranceWorking in a multicultural environment - 45 different nationalitiesCommuting allowance for public transport & subsidized lunchWellness benefits (Headspace subscription & wellness webinars)Hybrid friendlyWork-from-home assistanceEducational OpportunitiesSocial hours & events and team-building26 vacation days per yearThis position is open to candidates located in Europe who are willing to relocate to the Netherlands.At FareHarbor, we believe making experiences better for everyone starts with fostering a workplace where every voice is heard and everyone is empowered to thrive. We’re committed to inclusion, welcoming all qualified job seekers to apply and join our ‘ohana.FareHarbor is an equal opportunity employer in accordance with all applicable federal, state and local laws. We do not discriminate on the basis of race, color, religion, gender, gender identity, sex, sexual orientation, national origin, disability, age, or veteran status, or any other classification protected by federal, state, or local law. If you need adjustments during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.To learn more about how we use your information, see our Privacy Statement for Applicants. By submitting your application, you confirm that you understand and agree that your information will be processed in accordance with our Privacy Statement for Applicants.Any offer of work (e.g. employment, assignment) will be subjected to the successful completion of pre-employment screening.