Technical lead - Machine learning (Search Semantics)

About Role

We are seeking a Technical Lead to lead critical charters in search relevance or ranking teams. This is an exciting opportunity to contribute to the development of a state-of-the-art AI platform that forms the core of our search technology. You will be scaling and serving AI solutions for critical search problems in relevance (eg spell check, store / category classification, NER, articulation gap, etc) or ranking (personalisation, surfacing new products, diversifying results, whole page optimisation, etc). You will also be owning critical data infrastructure which powers all the core signals and algorithms in search. In this role, you will work with a cross-functional team of engineers, data scientists, product managers, and analysts to develop and deploy mission-critical projects. Join us and be part of a team that is pushing the boundaries of search technology, making a significant impact on millions of users' shopping experiences.

Responsibilities :

Manage and coach the engineering teams in search core relevance or ranking teams

Participate in building the long term strategy and blueprint for the team

Develop and manage standards for deliverables with focus on scalability, high availability and performance

Drive technical decisions and tradeoffs and deliver with speediness and quality

Collaborate with stakeholders across functional boundaries and drive alignment

Be a guide and mentor to the team and drive the culture of innovation and accountability

Own the key functional and non-functional metrics for the team

Requirements :

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.

8+ years of total experience out of which 1+ year experience in scaling / deploying AI systems and supporting data infrastructure, and 6+ months experience of managing small group of engineers with track record of successful deliverables

Deep understanding of developing and maintaining high scale distributed systems

Good knowledge of classical machine learning, deep learning or learning to rank techniques

Strong communication and analytical skills

Past experience of working in fields related to information retrieval is highly desirable