About us: In Booking.com, the data pays our decisions. Technology in our essence. And innovation everywhere. But our company is more than data sets, code lines, or A/B tests. We excite the first night in a new place. The excitement the next morning. Friends you face. The trips you take. The scenes you see. And the memories you make. Through our products, partners and people, we make it easy for everyone to experience the world.

Leadership/Team Quote:

This opening for the intelligence team content in the Central Technology Department.

The content intelligence team creates a content intelligence platform by consuming millions of pictures and text inputs every day, then enriching them with ML capabilities. In the end, these applications will be presented in the direction of the river course and the customization of our customer experience (think about a way to choose the appropriate images, reviews and their reviews when customers reserve their next vacation).

Role description:

You will work with first -class automation engineers, data engineers, and automatic learning scientists to bring Genai’s experience in reservation to the next level and enable the optimal user experience. You will design strong and generalized evaluation frameworks for the functioning of agents, create assessments integration systems as important steps to improve agents, and build developmental pipelines to generate artificial data. You will also collaborate with MLS to develop and adjust LLMS and publish them to assess model outputs through a variety of tasks. In addition, the team plays an important role in the areas of other advanced artificial intelligence, such as AI responsible and multi -language assessment, allowing GENAI applications to support the expansion of the market in all subsidized languages.

Main job responsibilities and duties:
• Publishing automated learning models: design, development and publishing in cooperation with scientists, developmental learning models, and algorithms that provide content related to content and artificial intelligence applications, and ensure the ability to expand, efficient and accurate.
• Evaluating possible architecture solutions by taking into account costs, work requirements, emerging technologies and technology requirements, such as cumin, productivity and scale.
• Development of obstetric artificial intelligence: Contributing to the development of obstetric models such as GPT variables (pre -training transformer before) or similar structures to generate creative content, question, answer, translation or other innovative applications.
• Publishing and integration: Work closely with software engineers to integrate machine learning models into production systems. Smooth spreading and inferring the effective model in actual time environments. Cooperation with Devops to implement effective monitoring and maintenance strategies.
• Owning the end of the service to the end by actively monitoring health and performance, identifying and monitoring related measures and representation accordingly when violated.
• Maintaining a clean and developmental symbol, ensuring cloning and ease of models in production environments, including CI/CD.
• Cooperation with multidisciplinary teams: Cooperation with product managers, data scientists and analysts to understand work requirements and translate them into automatic learning solutions.

Qualifications and skills:
• Bachelor’s degree or Master in Computer Science, Engineering, Statistics or Related Field.
• At least 6 years experience as an automatic learning engineer or a similar role, with a fixed record to successfully provide ML solutions.
• Strong programming skills in languages ​​such as Bethon and Java.
• Experience with cloud frameworks such as Aws Sagemaker for training, evaluation and service models using Tensorflow, Pytorch or Scikit-Learn.
• Experience with big data processing frameworks such as Pyspark, Apache Flink, Snowflake or similar frameworks.
• Experience with data widely using MySQL, Pyspark, Snowflake and similar frameworks.
• Distinctive experience with MySQL, Cassandra, Dynamodb, or similar knowledge database/NosQL database systems.
Deep understanding of automated learning algorithms, statistical models, and data structures.
• Experience in spreading large-scale language models such as GPT, BERT or similar-distinctive structures.
• Efficiency in data processing, analysis and perception using tools such as Numby, Pandas and Matplotlib – feature.
Experience with experimental design, A/B test, and evaluation measures of ML – feature models.
• Experience work on products that affect a large customer base – advantage.
Excellent contact in English; Written and spoke.

Benefits and privileges – global influence, and personal importance:

Booking.com total bonuses is not only related to compensation but also about benefits. We offer a compensation package and competitive benefits, as well as the benefits of Probeing.com that include:
• An annual paid vacation and a generous paid vacation scheme including: father, grandfather, bereavement, and care vacations
• Hybrid work, including flexible work arrangements, and up to 20 days in the year work from abroad (mother country)
• The leading product discounts in the industry – up to 1400 a year – for yourself, including the state of automatic genius of the 3 level and Booking.com Credit Wallet

Diversity, fairness and integration (Dei) in Booking.com:

Diversity, fairness and inclusion have been an essential part of our company’s culture since the first day. This ongoing journey begins with our employees, who represent more than 140 sexes and a wide range of ethnic and social backgrounds, races and sexual trends.

Take it from our senior officers, Paulo Pisano: “In Booking.com, the diversity of our people not only builds a wonderful workplace, but it also creates a better and comprehensive travel experience for everyone. Inclusion in the heart of everything we do. It is a place where you can have a real impact on travel and technology.”

We guarantee that the adjustments and tools they need to participate in the job application and the job -making process are provided, the performance of important jobs jobs, and receive other benefits and privileges for employment.

Submission:
• Let’s go to places together: How do we rent
• This role does not come with the help of transportation.

Booking.com is proud to be the place of equal opportunities and is a positive business owner. All qualified applicants will get to look at work without regard to race, color, religion, sex, sexual identity, expression, sexual tendency, national origin, genetics, disability, age, or veteran situation. We strive to overcome equal opportunities and work to create an environment that allows everyone to prosper.

Pre -employment examination

If your request succeeds, your personal data may be used to examine a pre -employment examination by a third party as permitted under the applicable law. Depending on the vacancy and law in force, pre -employment examination may include the date of employment, education and other information (such as media information) that may be necessary to determine your qualifications and your suitability for this position.

a company:

Booking.com

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Experience level (years):

Senior (5 years of experience)

Seasoning as follows: Big dataand industryand Language modelingand Automated learningand Hollandand NLP