Summer 2022 Machine Learning Research Internship

Who are we looking for?

Our research team is working on cutting edge NLP and AI research to innovate new product ideas and enhance existing products to analyze large amounts of NLP Data. This will allow our customers to leverage the power of NLP processing to analyze intention and sentiment to better understand their customers needs. 

We are currently recruiting PhD students who will have the opportunity to join our Machine Learning summer research internship both in our headquarters in beautiful Amsterdam and in our Machine learning center in Tel – Aviv. 

As a Machine Learning Research intern, you will have the opportunity to solve real world problems, work with talented professionals and help us to shape the future of AI with the goal of publishing your work. Deep learning fundamentals are applied to all research conducted by the team. 

You will use machine learning methods based on supervised, semi-supervised or unsupervised learning data representations, as opposed to task-specific algorithms.

What will you be doing?

  • Opportunity to work on real business problems to shape the future of travel using AI and publish your work
  • A thriving community of hundreds of Machine Learning Scientists and Engineers from all over the world.
  • Opportunity to work with industry-leading, talented teams with a diversity of thought and experiences 
  • Booking.com scale data and robust ML infrastructure making it possible to get from an idea to production fast
  • Our decision-making is truly data-driven – we encourage our teams to think creatively, innovate and experiment, to push the boundaries of what’s possible 

What do we offer?

  • Opportunity to work on real business problems to shape the future of travel using AI and publish your work
  • A thriving community of hundreds of Machine Learning Scientists and Engineers from all over the world.
  • Opportunity to work with industry-leading, talented teams with a diversity of thought and experiences 
  • Booking.com scale data and robust ML infrastructure making it possible to get from an idea to production fast
  • Our decision-making is truly data-driven – we encourage our teams to think creatively, innovate and experiment, to push the boundaries of what’s possible 

Headspace Subscription

Unlimited E-learning

Anniversary Leave

Booking Cares

Travel Credit

Local Benefits

Why we like you

If you succeed, we do too. Let’s look at the hiring process for the position to help you prepare and show your best self.

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About You

You are pursuing a PhD degree in  a quantitative field (e.g. Comp e.g. Computer Science, Mathematics, Artificial Intelligence, Physics, etc).

You have a strong working knowledge of Python; Hadoop, SQL, Spark or similar big data technologies.

 

 

 

Your availability

Your anticipated graduation date is December 2023 or sooner. 

 

 

 

 

 

 

 

Your Focus

Your area of focus is in a machine learning related field in one or more of the following areas of machine intelligence: Recommendation Systems, NLP, Computer Vision, Causality, Statistics, Reinforcement Learning etc. 

 

 

 

 

What you can do

Ability to conduct research independently as evidenced by peer-review publication or similar track record.

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.

Meet the team

Martina Zajkova

Content Boss

Jurgita Geleziute

Career Site President

Start your new career journey today