Senior Machine Learning Engineer I
Role details
Job location
Tech stack
Job description
As a Senior ML Engineer I in the Booking Ads ML team, you will be responsible in building the ML capabilities needed to support and build the Agentic platform. The role includes understanding how LLMs are used in production, how to serve Agents and include them in production orchestration. Finally the MLE will need to be sufficient in both Python and be able to read Java. The role will help build new innovative agentic capabilities, + Work in a multi-disciplined, highly skilled team where you will be developing scalable production-grade data and ML pipelines across the entire ML cycle while working closely with the teams' applied machine learning scientists
- Work primarily with the Google Cloud Platform, utilizing and maintaining the infrastructure for technologies like BigQuery, DataProc, Cloud Composer, Airflow and diverse set of ML frameworks
- Design and implement core GenAI infrastructure
- Architect multi-agent systems (agents calling other agents, orchestration, shared backbones)
- Define a generalized framework that different agents can extend/customize
- Be responsible for SLIs/SLOs for ML systems, ensure system and model health, monitor data quality, performance and business impact, and devise mitigation plans
- Drive a culture of quality for all ML practitioners, maintain data security, integrity and quality, and make choices over the right technologies and coding methodologies.
- Identify underlying issues and opportunities across the ML development cycle and introduce tools to be used within and outside the team for efficient development and testing.
- Continuously evolve your craft, keeping up to date with the latest technologies.
- Collaborate with relevant ML teams across the company to improve, scale and extend machine learning tooling and infrastructure.
Requirements
Do you have experience in Scalability?, Do you have a Bachelor's degree?, * 6+ years of relevant work experience, involved with the application of Machine Learning Engineering to business problems in a commercial environment.
- Strong skills in coding and problem solving. Proficiency in at least one programming language; preferably Python and strong command of SQL is strictly required. Knowledge of Java is a plus.
- Strong working knowledge of big data retrieval and processing tools
- Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.
- Experience running Machine Learning systems in production is a must, with knowledge on how to generate predictions for ML frameworks with high throughput.
- Experience with data-driven product development: analytics, A/B testing, etc.
- Experience working in a cloud environment is a plus.
- Willingness to learn and understand complex and multidisciplinary business problems and concepts related to booking.com business operations especially in marketing and finance fields
- You have a 'can do' attitude and you act proactively and not reactively.
- BSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
- Excellent English communication skills, both written and verbal.
Benefits & conditions
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
- Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
- Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide
- Working in a fast-paced and performance driven culture
- Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
- Promote and drive impactful and innovative engineering solutions
- Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
- Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com
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.
