Backend Web3 Jobs in Taiwan
51 jobs found
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
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Crypto.com | Taipei, Taiwan | $104k - $106k | |||
Crypto.com | Taipei, Taiwan | $104k - $106k | |||
Powered by Pioneer | Taipei, Taiwan | $105k - $150k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Binance | Taipei, Taiwan |
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cryptoblk | Taiwan | $175k - $210k | |||
Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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Coinmarketcap | Taipei, Taiwan | $105k - $106k | |||
Crypto.com | Taipei, Taiwan | $117k - $128k |
Binance Accelerator Program - Backend Engineer (Content)
Singapore / Taiwan, Taipei
Engineering – Backend /
Binance Accelerator Program /
Remote
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Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?
Binance Accelerator Program is a concise 3 - 6 months program designed to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the world' s leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. You will be hired under a junior fixed term contract.
Responsibilities
- Participate in the design, development, and optimization of the recommendation system to improve recommendation performance and user experience.
- Research and apply technologies such as machine learning, data mining, and natural language processing to enhance recommendation algorithms.
- Analyze user behavior data to uncover user needs and interests, and propose personalized recommendation strategies.
- Assist with large-scale data processing and feature engineering to support the implementation of recommendation algorithms.
- Collaborate closely with product and engineering teams to drive the iteration and innovation of the recommendation system.
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Statistics, or a related field.
- Familiar with common machine learning algorithms and recommendation system models such as collaborative filtering, matrix factorization, and deep learning.
- Strong programming skills and proficiency in languages such as Python or Go.
- Good understanding of data structures and algorithms, with the ability to write efficient code.
- Some experience in deep learning frameworks like TensorFlow or PyTorch is a plus.
- Good analytical and problem-solving skills, with the ability to learn new technologies quickly.
- A team player with good communication skills and proactiveness.
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