Introducing HPT 1.5 Edge: The best open-sourced multimodal LLM for edge devices. Read More
AI Research Engineer
engineeringSingapore
As a key member of our AI team, your primary responsibilities will revolve engineering challenges around building high-quality multimodal models, systems and tools that can advance state-of-the-art generative AI models and capabilities. In this role, you will be expected to:
Responsibilities
  • Build high-quality multimodal datasets (text, image, video, etc) through a variety of channels, including web data crawling from the internet, manual annotation from human, automatic data generation using deep learning models, etc.
  • Create UI, tools and systems for data acquirement, pre-processing, labelling, filtering, viewing, and storage.
  • Collaborate closely with our AI researchers, actively participating in deep learning model training and evaluation.
  • Collaborate with a group of data annotators, set the requirements for data annotation and closely monitor the annotation quality.
Qualifications
  • A minimum of three years of professional experience in AI engineering, software development, data science, or a related field.
  • Proficiency in Python, with hands-on experience in PyTorch.
  • Proven expertise in building well-balanced and diverse datasets.
  • Strong knowledge of developing a web crawler for data extraction from the internet, utilizing Python or other programming languages.
  • Able to implement a simple UI for data visualization via Streamlit, Gradio or other available tools
  • Experience with using multimodal deep learning models, etc.
  • (Bonus) Passionate about building innovative AI models and products.
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