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:
This opening is for the Content Intelligence team in the Central Tech department.
The Content Intelligence team builds the Content Intelligence Platform by consuming millions of images and textual inputs every day, and then enriching it with ML capabilities. Eventually, these will serve downstream applications and personalize our customers' experience (think of a way to choose and surface the right images and reviews when customers book their next vacation).
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Moreover the team is taking a key role in building in-house LLMs for different needs- moderation, translation, AI trip planner chatbot, content generation and other GenAI applications.
Role Description:
In this position, you will be responsible for the development of our Supply Intelligence capabilities , leveraging content features and GenAI technologies.
You will lead our Content Intelligence Platform and GenAI aspects, including data management, monitoring, modernization, NLP and CV models, and lead the democratization of GenAI across the company by creating versatile capabilities that can be applied to various use cases..
As a technical manager of Machine Learning Engineers and Machine Learning scientists, 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 Responsibilities and Duties:
- Lead and develop a high-performing team, fostering individual growth and collaboration.
- Manage and mentor ML engineers and ML scientists, ensuring their professional development and effectiveness.
- Develop scalable ML infrastructure and pipelines for efficient data processing and model deployment.
- Evaluate architecture solutions based on cost, business needs, and emerging technologies.
- Contribute to generative AI development, including novel applications like GPT variants.
- 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 requirements 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 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.).
- Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and GenerativeAI models at scale.
- 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 compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits 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
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 benefits 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 equal opportunity 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 equal opportunity 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 qualifications and suitability for the position.