As a Senior Manager of Machine Learning & AI you will be managing the ML science and ML engineering function for Booking.com’s ML Development Center in Tel Aviv. You are a deep subject-matter expert in multiple areas of machine intelligence (e.g. recommenders, optimisation, NLP, Computer Vision) and its implementation as an end-to-end product that generates direct business impact. You define the strategy and vision for how to generate outsized impact through automated intelligence in a broad product area by driving a research agenda and development plan from ideation to prototyping to full productionisation.
B.Responsible
- Translate broad areas of business problems into ML/AI challenges and develop a targeted research plan to identify the best approach within the constraints of the production environment.
- Develop the strategy for machine intelligence on a broad area by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences.
- Independently define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
- Drive the end-to-end execution of the ML/AI development process on products, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch- and stream-based deployment.
- Develop production-grade ML code for models, features, and pipelines, accounting for scalability, latency, realtime requirements, monitoring and retraining.
- Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.
- Create outsized impact for your work through carefully designed rapid prototyping coupled with strategic scale-up in production through the work of other teams.
- Drive platform-based development and reuse by coaching teams in abstracting individual business problems to generalized ML/AI products, rather than point solutions, and in identifying horizontal opportunities across multiple business domains.
- Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields.
- Mentor others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
- Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these for yourself and others, as needed.
B.Skilled
- Deep subject matter expertise in one or more areas of ML/AI (e.g. Recommender Systems, Deep Learning, Forecasting, Natural Language Processing, Computer Vision)
- Ability to define a machine intelligence strategy on a product family by identifying short-term development steps that create immediate business value and build upon each other to create longer-term differentiation
- Ability to design an applied research plan from scratch as evidenced by peer-review publication or similar track record
- Ability to execute end-to-end research and development plans and generating impact through large-scale machine learning model development.
- Deep Relevant work or academic experience (MSc + 9 years of working experience, or PhD + 5 years), involved in the development and application of Machine Learning.
- Strong working knowledge of big data technologies
- Strong working knowledge of Python, Hadoop, SQL, R, Spark or similar technologies.
- Excellent English communication skills, both written and verbal.
B.Offered
We are a performance-based company that offers career advancement and lucrative compensation, including bonuses and stock potential. We also offer what we call the “Booking Deal” with unique perks and benefits. The Technology Department has regular hackathons, “innovation days”, training, and attends and speaks at global conferences.
This position is open to local candidates only.
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