Machine Learning Scientist, Booking.com
Trust & Safety
More information about location
Leading travel accommodation and experiences marketplace
Job no longer available
Leading travel accommodation and experiences marketplace
1001+ employees
Job no longer available
More information about location
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
- Advanced knowledge and experience in Deep Learning, Natural Language Processing techniques, Active Learning, Optimization or similar
- Ability to define a machine intelligence strategy on a specific product by identifying short-term development steps that create immediate business value and build upon each other to create longer-term differentiation
- Ability to execute end-to-end research and development plans and generate impact through large-scale machine learning model development
- Relevant work or academic experience (MSc + 3 years of working experience, or PhD), involved in the development and application of Machine Learning
- Strong working knowledge of big data technologies
- Strong working knowledge of Python, AWS, SQL, Spark or similar technologies
- Excellent English communication skills, both written and verbal
- Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
What the job involves
- As a machine learning scientist, your work will focus on building, training and deploying machine learning models (Deep Learning, Classification, Natural Language Processing, Optimization, 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
- Translate business needs into ML/AI challenges, creating targeted research plans and innovative models for both immediate impact and long-term value
- Develop and deploy state-of-the-art ML/AI solutions, including NLP and active learning, to optimize Trust & Safety and drive business value
- Drive the end-to-end execution of the ML/AI development process on specific products, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline
- Conduct data analysis with detailed metrics to improve data quality, do feature exploration, evaluate model’s performance, etc
- Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs
- Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields
- Support others through evidence and clear communication, explaining advanced technical concepts in simpler terms
- 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
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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