Splore is an AI company, building in stealth mode, to solve a new set of problems in the new internet. Focused on Gaming, Web3 and Virtual Worlds, we are re-imagining experiences, content and engagement from the fundamentals as we recognize that user behaviors and needs often go beyond the confines of indexed Web2.0 experiences.​

We are currently building experiences to help gamers find gaming-related content, increase player-to-player discovery and more accurately assess in-game assets.​

We believe there is a huge opportunity to reimagine content discovery and interaction as a new evolution of internet is born.

Splore is founded by Temasek and Menyala.


We are seeking a skilled Lead/Senior Software Engineer - AI & NLP to join our team. The successful candidate will be responsible for building and operationalising a variety of NLP models including summarisation, question-answering, semantic search, named entity recognition, knowledge discovery, document understanding, and text classification. These models would be directly used in Splore’s main task of providing a novel community-driven search tool on a combination of traditional and user-generated content in specialized domains.


In this role, you’ll need to:

  • Analyze large sets of data from various sources, including websites, wikis, conversation platforms, social media platforms, and databases
  • Build NLP models to extract knowledge from these sources
  • Help set up semantic search and question answering on these sources
  • Develop response blending and summarisation models to provide an overview of search results from these sources
  • Deploy learning-to-rank and RLHF models to improve the accuracy of results shown to users
  • Be involved in operationalizing these models in highly demanding production environments
  • Conduct regular tests of the models to ensure they meet desired metrics on both benchmark and usage datasets


You Should Apply If You Possess:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Minimum 5 years of related job experience
  • Experience in deep learning frameworks (Tensorflow or PyTorch)
  • Experience with NLP models, frameworks, and libraries (Hugging Face, Haystack, etc)
  • Experience with fine-tuning LLMs as well as prompt engineering on GPT models
  • Experience with Python
  • Experience with document databases like Elastic Search or Vespa is a plus
  • Proficiency in SQL and Excel is a plus
  • Strong problem-solving and analytical skills


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 search experiences and eagerness to embrace the new and unknown 
  • Communicator: Skills to communicate with stakeholders on engineering, product, business and client teams

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