Role overview
Sploreis an AI company, building in stealth mode, to solve a new set of problems in thenew internet. Focused on Gaming, Web3 and VirtualWorlds, we are re-imaginingexperiences, content and engagement from the fundamentals as we recognise that userbehaviours and needs often go beyond the confines of indexed Web2.0experiences.
We arecurrently building experiences to help gamers find gaming-relatedcontent,increase player-to-player discovery and more accurately assess in-game assets.
We believe there is a huge opportunity to reimagine content discovery and interactionasa new evolution of internet is born.
Splore is founded by Temasek and Menyala.
We are seeking a talented and experienced Principal/Lead Engineer - AI, NLP, and Data Modeling to join our Search Engine AI Team.
You will own several key components of our Search Engine AI system including the processing of search queries, using natural language processing (NLP) techniques to classify queries and decide how to handle them, semantic and syntactic search over proprietary and public data sources, modeling of the data from these sources, optimization of ranking of results, question-answering and product analytics.
You will work closely with cross-functional teams, including product managers, software engineers, and UX designers, to build best-in-class Search Engine experiences for Gamers.
In this role, you’ll need to:
- Architect, design, and manage the implementation of different components of our Search AI platform incorporating technologies like NLP, Search, Information Retrieval, Conversational AI, and Learning-to-Rank algorithms
- Decide on the right metrics to optimize in our Search AI platforms and set up processes to track and optimize these metrics
- Set up DataOps and MLOps processes and tools, including model training and retraining, model evaluation, data labeling, A-B testing, etc
- Collaborate with peers across multiple technology disciplines, ensuring AI platforms and solutions deliver business and technical requirements
- Serve program teams to better understand their problems and goals, recommending possible solutions and building consensus around architecture
- Oversee and manage the full AI program life cycle implementations
- Assist, guide, and drive engineering teams by providing technical oversight during implementation and owning technical delivery
- Contribute digital thought leadership with an AI-driven mindset to a larger tech community, and be a change agent
- Ensure all architectural consideration and non-functional requirements around high availability, scalability, maintainability, and extensibilities are factored in in the core system
- Implement POC, sample use case, and core platform components for a highly scalable application
- Successful history of manipulating, processing, and extracting value from large, disconnected datasets and Data Ingestion, processing of structured and unstructured data in big data ecosystem - Hadoop, Spark, and Spark Streaming
- Lead technical workshops in driving strategic initiatives, while developing and managing relationships with both internal and external vendors
You Should Apply If You Possess:
What we're looking for
Good to have:
- The ideal candidate is curious, consultative, well-organized, articulate, and excited about working in a fast-paced environment
- Ownership mindset: Reliable, takes pride in the quality of their work
- Hunger: A desire to explore and raise the bar in building searchexperiences and eagerness to embrace the new and unknown
- Communicator: Skills to communicate with stakeholders on engineering, product, business and client teams