We are inviting applications for multiple positions with immediate appointments. This is a unique opportunity to contribute to cutting-edge research and development at the intersection of Natural Language Processing (NLP) systems and large-scale Machine Learning products. Join our dynamic team to work on next-generation AI technologies!

Who We're Looking For:

We are seeking highly motivated applicants with a passion for advancing the state-of-the-art in NLP. Candidates should hold (or be near completion of) a Master's degree (or equivalent) in Computer Science, Linguistics, Computer Engineering, Statistics, Mathematics, Physics, or related fields.

We have two distinct tracks for applicants:

  1. Research Track: Extending your current research program in statistical NLP.
  2. Engineering Track: Leveraging your analytical and engineering expertise to build large-scale NLP products and contribute to real-world applications.

Both tracks offer the chance to work on high-impact projects and contribute to cutting-edge advancements in the NLP and Machine Learning fields.

Key Responsibilities:

  • Conduct applied research in statistical Natural Language Processing and Machine Learning.
  • Develop large-scale machine learning products focused on improving NLP capabilities.
  • Collaborate with multidisciplinary teams to push the boundaries of current NLP systems.
  • Build scalable, production-ready systems based on novel NLP research.

Qualifications:

  • MS.C. degree (or equivalent and above) in Computer Science, Linguistics, Computer Engineering, Statistics, Mathematics, Physics, or a related discipline.
  • Solid understanding of statistical methods in NLP and/or Machine Learning.
  • Proficiency in programming languages like Python, Java, or similar.
  • Familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face, etc.
  • Experience with large-scale data processing and distributed systems is a plus.
  • Strong analytical and problem-solving skills.

What We Offer:

  • A collaborative and innovative environment with the opportunity to work alongside leading experts in the field.
  • A fast-track opportunity to develop your skills in statistical NLP and machine learning.
  • Exposure to cutting-edge NLP research and its application in real-world products.
  • Competitive compensation and the possibility for career advancement.

工作详细内容

全部职位:
2 发布
工作时间:
早班
工作类型:
工作地址:
性别:
男性
最低学历:
硕士
职位等级:
资深专业人员
经验:
2年 - 15年
在之前申请:
Mar 01, 2025
发布日期:
Jan 28, 2025

Yolix

· 1-10 员工 - 拉合尔

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