Machine Learning Scientist
Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Oct 2, 2026.
Join Booking.com as a Machine Learning Scientist and play a key role in advancing our bidding algorithms across various marketing surfaces. Collaborate with other machine learning scientists, engineers, and business stakeholders, taking full ownership of your work from idea generation to implementation. You will design and implement scalable evaluation pipelines, conduct in-depth data analysis, and improve our machine learning systems development processes. This position offers a range of benefits, including health insurance, paid time off, and opportunities for career growth.
Missions
- Devising and developing state-of-the-art techniques for online bidding algorithms, including user-intent modeling and bidding strategy optimization.
- Designing and implementing scalable evaluation pipelines and frameworks, including simulations, synthetic data generation, and benchmarking.
- Collaborating closely with machine learning engineers to integrate evaluation components into production pipelines, supporting continuous improvement of bidding applications.
Profil recherché
- Proven record in devising and developing innovative machine learning and/or optimization solutions for large-scale business problems. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like- Very strong working knowledge of Python, GCP, SQL/BigQuery, Spark
- Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, Commercial, Data Analytics, etc.)
- Master’s degree or PhD required (Computer Science, Engineering, Mathematics, Artificial Intelligence, Physics, Economics, Econometrics)
- Industry or academia knowledge of large scale optimisation techniques or mechanism design or auction theory
- Relevant work or academic experience (MSc + 4 years of working experience, or PhD + 2 years of working experience), involved in the application of Machine Learning to business problems
- Excellent English communication skills, both written and verbal
- Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development