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Job Description

Basic Qualifications

  • MS or PhD degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent.
  • 5+ years of NLP/Chatbot Machine learning development and deployment experience.
  • Expertise in Python and ecosystem library pandas, spark, dask, machine learning/deep learning framework - pytorch, huggingface, scikit-learn, spacy, cupy ...etc.
  • Strong ability in designing conversational AI Chatbot and dialogue management system integration.
  • Strong ability in problem solving. Capable to reach out for solutions and enjoy closely collaborating with PM/engineers to share AI Chatbot design and solution ideas.
  • Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.

Preferred Qualifications

  • Experience with Chatbot Platform. e.g. AWS Lex/Lambda/Kendra platforms or GCP Dialogflow/Cloud Function or RASA open-source chatbot frameworks.
  • Experience fine-tuning pre-trained language models in specific domains. such as Transformer, BERT, GPTJ, GPT-NeoX, OpenAI-GPT.
  • Experience with handling and analysis of large-scale feature extraction, similarity comparison, pattern recognition, clustering, text mining, natural language processing(NLP).
  • Familiar with container model deployment in cloud platforms. e.g AWS ECS/Fargate/EKS, GCP CloudRun/GKE.
  • Familiar with knowledge distillation like teacher-student learning paradigm.
  • Familiar with passage/information retrieval and contrastive learning.
  • Familiar with sequence to sequence learning and controllable sequence generation.

Job Description

  • Design and Develop AI Chatbot services and target to make“human-like”conversation in dialogue management systems.
  • Participate in the end-to-end machine/deep learning product lifecycle, from data collection, data exploration, feature engineering, model training, model evaluation, model deployment, model inference monitoring to solve real world cases.
  • Arrange and design the training dataset, prompts and pipeline required for fine-tuning large language models and validation purposes.
  • Design and establish ETL processes, system architecture, algorithm pipeline, and evaluation metrics for various NLP tasks.
  • Investigate and implement robust approaches of slot filling, NLU, NLI/entailment, intent classification, text generation, question answering, and keyword extraction.
  • Conduct effective training and automated inference/retrain pipelines.
  • Stay up to date in current technologies and state of the art methods.
  • Thrive in an agile development process and constructive feedback. Critical thinker, problem solver, team player, time management skills, good interpersonal and communication skills.
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1
5 years of experience required
1,200,000+ TWD / year
Optional Remote Work
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About us

Ubiquiti, Inc. currently focuses on 3 main technologies: high-capacity distributed Internet access, unified information technology, and next-gen consumer electronics for home and personal use. The majority of the company’s resources consist of entrepreneurial and de-centralized R&D teams. Ubiquiti does not employ a traditional direct sales force, but instead drives brand awareness largely through the company’s user community where customers can interface directly with R&D, marketing, and support. With over 70 million devices shipped in over 200 countries and territories in the world, Ubiquiti aims to connect everyone to everything, everywhere. Ubiquiti was founded by former Apple engineer Robert Pera in 2005.


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Full-time
Mid-Senior level
1
1M+ TWD / year
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