Advanced Data Scientist Position Available

2 weeks ago

Taipei, Taiwan beBeeData Full time
Job Title:

Machine Learning Scientist Intern

Job Description:

About Us

We are a software-as-a-service (SaaS) company that utilizes artificial intelligence to empower business decision-making. Founded in 2012, our mission is to turn AI into return on investment by making software intelligent.

Our Enterprise Solution Science Team focuses on applying cutting-edge machine learning technologies to real-world marketing challenges by combining them with omnichannel customer data.

This internship opportunity entails a minimum duration of 6 months and requires a commitment of 2~4 days (16~32 hours) per week.

Due to our hybrid work model, this position cannot be fully remote and requires working in our Taiwan office.

Due to the hybrid work model, this position cannot be fully remote and requires working in our Taiwan office.

Work On

  • Work on one of the following ML or LLM topics: user prediction, recommendation, agents, and chatbots
  • Collaborate closely with senior ML scientists to define ML problems, algorithm development, conduct evaluations, monitoring, and continuous optimization.
  • Stay up to date with the latest research and proactively propose innovative applications.

Requirements:

Qualifications:

  • Bachelor's degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields (Master's degree preferred)
  • 2+ years of experience in ML or LLM
  • Proficient in Python 
  • Proficient in one of the below
    • Core ML and deep learning concepts: feature engineering, recommendation, regression, classification, clustering, etc.
    • LLM applications development techniques: RAG, agent, chatbots
  • Able to evaluate models with systematic and quantitative analysis 
  • Strong data intuition and familiarity with basic statistical concepts

Preferred qualifications:

  • Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
  • Proficient in using LLM-powered tools to boost development productivity.

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