Machine Learning Engineer II - Benefits & Pricing Track
Job Description
About Us: At Booking.com, data drives our decisions
Technology is at our core
And innovation is everywhere
But our company is more than datasets, lines of code or A/B tests
We’re the thrill of the first night in a new place
The excitement of the next morning
The friends you make
The journeys you take
The sights you see
And the food you sample
Through our products, partners and people, we make it easier for everyone to experience the world.
Leadership/Team Quote:
The opening is for the
and Pricing Optimization team in Marketplace Data & AI. The team is responsible for building and enabling ML decisioning for price, discounts and promotions across the site, and taking a key role in the customer journey.
Role Description:
As a Machine Learning Engineer, You’ll work with top notch engineers and machine learning scientists on bringing it to the next level and enabling optimal customer experience while having a significant impact on the business
The work will focus on data and ML foundations for reusable training, optimization and deploying causal machine learning models.
Key Job
and Duties:
Model evaluation and optimization: Conduct detailed model evaluation metrics and validation to ensure accuracy, reliability, and scalability
Optimize model performance by fine-tuning hyper parameters, feature engineering, and applying techniques such as ensemble learning and continuous learning.
Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets for model features and data monitoring
Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance
Building machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide personalized recommendations to users.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems
Ensure seamless deployment and efficient model inference in real-time environments
Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business
and translate them into machine learning solutions
Provide technical guidance and mentorship to junior team members.
Qualifications & Skills:
Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.
Minimum of 5 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 Python (Additional knowledge in Java, Perl and Scala are an advantage) .
Experience with cloud frameworks like AWS sagemaker and training models such as using TensorFlow, PyTorch, lightgbm or scikit-learn.
Experience with data at scale using MySQL, Pyspark, Airflow, Snowflake and similar frameworks.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, matplotlib and BI tools.
Proficient knowledge of machine learning algorithms, statistical models, optimization and data structures.
Experience with experimental design, causal inference, A/B testing, and evaluation metrics for ML models.
Experience of working on products that impact a large customer base is an advantage
Excellent communication in English; written and spoken
Benefits & Perks - Global Impact, Personal Relevance:
Booking.com’s Total Rewards Philosophy is not only about
but also about
We offer a competitive compensation and
package, as well unique-to-Booking.com
which include:
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
Inclusion at Booking.com:
Inclusion has been a core part of our company culture since day one
This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone
Inclusion is at the heart of everything we do
It’s a place where you can make your mark and have a real impact in travel and tech.”
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other
and privileges of employment.
Application Process:
This section should provide:
Let’s go places together: How we Hire
This role does not come with relocation assistance.
Booking.com is proud to be an
workplace and is an affirmative action employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
We strive to move well beyond traditional
and work to create an environment that allows everyone to thrive.
Pre-Employment Screening
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law
Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your
and suitability for the position.