At 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 Role:FareHarbor (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 here:- Design and build scalable, reliable backend features across our products
- Translate business requirements into practical technical solutions
- Estimate effort, deliver incrementally, and communicate progress clearly
- Prioritize tasks, identify dependencies, and flag risks early
- Troubleshoot production issues and improve reliability through root-cause analysis
- Contribute to secure coding practices and review code with a security mindset
- Collaborate closely with product, design, and other engineering teams
- Help improve team processes and share knowledge with teammates
- Design, implement, and evaluate ML models for revenue and margin optimization
- Translate pricing and revenue requirements into concrete optimization or prediction problems
- Apply supervised learning, reinforced learning (eg mult armed or contextual bandits) and statistical techniques to structured, real-world pricing data
- Design and run A/B tests and controlled experiments to validate pricing strategies
- Define, track, and interpret key metrics such as revenue, conversion, utilization, and margin
- Perform post-experiment analysis and translate results into model improvements and product changes
- Develop and maintain production-grade ML pipelines and services for pricing use cases
- Integrate monitoring to ensure robustness, reliability, and safe rollouts
- Collaborate with backend engineers to integrate ML pricing services into the FareHarbor platform
- 3+ years of experience working on production ML systems
- Strong Python and SQL skills
- Solid foundation in applied statistics and machine learning theory
- Hands-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 metrics
- Experience with common ML frameworks (scikit-learn, gradient boosting frameworks, PyTorch or TensorFlow)
- Exposure to dynamic pricing, revenue management, marketplaces, or e-commerce
- Familiarity with reinforcement learning approaches
- Experience with ML tooling (Metaflow, MLflow, feature stores, SageMaker)
- Global leave benefit
- 22 weeks paid parental leave
- 2 weeks paid grandparent leave
- Extended care and bereavement leave
- Life insurance policy
- Pension Plan
- Central Amsterdam Location
- Discount CZ insurance
- Working in a multicultural environment - 45 different nationalities
- Commuting allowance for public transport & subsidized lunch
- Wellness benefits (Headspace subscription & wellness webinars)
- Hybrid friendly
- Work-from-home assistance
- Educational Opportunities
- Social hours & events and team-building
- 26 vacation days per year
This 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.
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Any offer of work (e.g. employment, assignment) will be subjected to the successful completion of pre-employment screening.
