Machine Learning Engineering Manager - Ranking and Recommendations track

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 encounter

The journeys you take

The sights you see

And the memories you make

Through our products, partners and people, we make it easier for everyone to experience the world.

 

Leadership/Team Quote:

The Ranking & Recommendations track is tasked with creating machine learning solutions to personalize and optimize the customer experience at Booking.com

This includes powering the ML for critical customer touch points like search results ranking and property/destination recommendations across the funnel

Additionally, the track is responsible for optimizing UI elements such as the ranking of filters/sorters, banners appearance & position.

 

Role Description:
As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope

You will drive the development of robust data & ML pipelines at scale,  lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the team’s ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products

You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success

You should have experience in developing people

You will mentor and coach your team while working closely with a Product Manager. 

 

Key Job

and Duties: 

• Lead and develop a high-performing team, fostering individual growth and collaboration.

• Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

• Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

• Evaluate architecture solutions based on cost, business needs, and emerging technologies.

• Collaborate closely with software engineers to ensure seamless deployment and model inference.

• Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

• Collaborate with stakeholders to translate business

  into viable ML solutions.

• Evaluate and integrate new ML technologies to enhance productivity and performance.

• Drive continuous improvement through model retraining, performance monitoring, and optimization.

• Develop robust ML and AI solutions that meet business objectives while considering production constraints.

• Stay abreast of industry methodologies, explore new technologies, and champion their adoption within the team.

• Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, and mentoring colleagues.

• Advocate for improvements, scaling, and extension of ML tooling and infrastructure.

• Foster a culture of innovation, collaboration, and excellence within the ML team.

Qualifications & Skills:

• 3+ years leading an ML engineering team of a minimum of 4 people in a fast-paced production environment.

• Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.

• Masters degree, PhD or equivalent experience in a quantitative field (e.g

  Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).

• Strong knowledge in areas like e.g

  Recommender Systems, Deep Learning, Information Retrieval, Causal Inference, scaling ML models, etc.

• Experience designing and executing end-to-end solutions for deploying different ML models.

• Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.

• Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

• Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

• Deep understanding of machine learning algorithms, statistical models, and data structures.

• Experience collaborating cross functionally in the development of machine learning products (e.g

  Developers, UX specialists, Product Managers, etc.).

• Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies

  Working experience with version control systems.

• 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

• Leading by example, gaining respect through actions, not your title

  Developing your team and motivating them to achieve their goals

  Providing feedback timely and managing your key team performance indicators
  
  

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 29 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 

Diversity, Equity and Inclusion (DEI) at Booking.com: 

Diversity, Equity & Inclusion have 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: 

• 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.