Machine Learning Engineer, Booking.com
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Leading travel accommodation and experiences marketplace
Be an early applicant
Leading travel accommodation and experiences marketplace
1001+ employees
Be an early applicant
1001+ employees
Company mission
To shape the future of travel through cutting edge technology, to make it easier for everyone to enjoy amazing experiences wherever they go.
Role
Who you are
- Bachelor’s or master’s degree in Computer Science, Engineering, Statistics, or a related field
- Minimum of 4 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions
- Strong programming skills in languages such as Python and Java
- Experience with cloud frameworks like GCP/AWS for training, evaluation and serving ML models using TensorFlow, PyTorch, or scikit-learn
- Experience with big data processing frameworks such, BigQuery, PySpark, Snowflake or similar frameworks
- Deep understanding of machine learning algorithms, statistical models, and data structures
- Experience in deploying and inference for large-scale machine learning models - an advantage
- Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage
- Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage
- Experience of working on products that impact a large customer base - an advantage
- Excellent communication in English; written and spoken
What the job involves
- As a Machine Learning Engineer at Booking.com, your work will focus on training and deploying machine learning models (Classification, Deep Learning, Optimization, Natural Language Processing, Active Learning) using the most advanced technologies and models
- You will be responsible for identifying and using the most appropriate data sources and modeling techniques to solve complex problems and drive measurable business value
- You will also help in building new products and solutions by driving a research agenda and development plan from ideation to prototyping to full productionisation in the team, and using opportunities to contribute to a vibrant department’s ML community
- Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-time requirements, monitoring and retraining
- Build readable and reusable code, applying code quality best practices and using standard libraries. Choose the right technology or coding methodology as well as refactor and simplify code when necessary
- Take full ownership of your services end to end by actively monitoring the systems health, performance and business impact
- Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of ML governance processes
- Evaluate possible architecture solutions taking into account the business and technology requirements
- Set the relevant service level objectives SLOs and act accordingly when they are not met
- Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs
- Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these, as needed
- Contribute to the internal ML/AI community by sharing your knowledge and participating in our internal ML programs
- Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms
- Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of disciplines and related fields
- Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practising active listening
Our take
Booking.com has established itself as a leading digital travel company. The company reaps the benefits of its status in the market and is currently in a stronger position than its up-and-coming competitors such as Expedia, Trivago and Trip.com. Airbnb represents the sharing economy and acts as a disruptive force in this market but still has ways to go to compete with Booking.com.
In recent years, there has been considerable growth in the number of travellers wishing to travel more sustainably. And Booking.com is well positioned to attract these consumers, having introduced a Travel Sustainable badge on their platform which over 100,000 properties have achieved for their sustainability efforts.
The company was originally founded with a core focus on hotels, and the platform now offers more than 31M accommodation listings. It has also expanded into different services, including flights, car rentals, and attractions.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Health insurance
- Free access to Headspace for you and your loved ones
- Global Employee Assistance Program
- Meditation and Breastfeeding rooms at the office
- Booking Cares - 2 days per year to volunteer and learn
- Life insurance
- Disability insurance
- Pension plan
- Annual paid time off
- Parental leave - 22 weeks
- Grandparent leave - 10 days
- Care leave - 10 days
- Bereavement leave - up to 4 weeks
- Anniversary leave
- Working from Home Furniture and Ergonomic Support
- Working from Abroad - up to 20 days per year
- Discounts & Wallet credits to spend on our products
- Upgrade to Booking.com Genius Level 3
- Friends & Family Booking.com discount vouchers
- Free access to online learning platforms
- Development and mentorship programs to support career growth
- Access to trainings and workshops
- Team development opportunities
- Local discount programs
- Game rooms in offices
- On-site meals, coffee and snacks including vegan options
Company HQ
Nieuwmarkt en Lastage, Amsterdam, Netherlands
Leadership
Glenn Fogel
(CEO)Previously Vice President at Morgan Stanley. They joined Booking Holdings in 2000 and have held several high profile and executive positions since. They are currently the President and CEO
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