| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Menyala | Singapore, Singapore | $11k - $75k | |||
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| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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This job is closed
Sploreis 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.
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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 searchexperiences and eagerness to embrace the new and unknown
- Communicator: Skills to communicate with stakeholders on engineering, product, business and client teams