| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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Crypto.com | Taipei, Taiwan | $36k - $54k | |||
| 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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Binance | Taipei, Taiwan |
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Crypto.com | Taipei, Taiwan | $129k - $131k | |||
Crypto.com | Taipei, Taiwan | $100k - $102k | |||
Crypto.com | Taipei, Taiwan | $104k - $106k | |||
Crypto.com | Taipei, Taiwan | $104k - $106k | |||
Crypto.com | Taipei, Taiwan | $90k - $96k | |||
Binance | Taipei, Taiwan |
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Binance | Taipei, Taiwan |
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WOO | Taipei, Taiwan | $98k - $114k | |||
Kronos Research | Taipei, Taiwan | $85k - $104k |
Binance Accelerator Program - Performance Engineer
What You’ll Do
1. Build Your Foundation: Start with hands-on performance testing and tuning tasks, master the fundamentals before innovating
2. AI-Powered Performance Testing: Design and implement intelligent test strategies using LLMs, ML models, and AI agents to automate and enhance performance testing workflows
3. Intelligent Performance Analysis: Build AI-driven tools that can automatically detect anomalies, identify bottlenecks, and provide actionable insights from complex performance data
4. Innovation & Research: Explore and experiment with the latest AI technologies and evaluate their potential in performance engineering
5. Real Impact: Your work will directly influence how we ensure system reliability and performance for millions of users
Must Have
1. Currently pursuing a degree in Computer Science, Software Engineering, or related field
2. Solid understanding of AI/ML fundamentals (LLMs, prompt engineering, fine-tuning concepts)
3. Programming experience in Java/Python/Golang
4. Curiosity and passion for exploring new AI technologies
5. Strong problem-solving skills and self-driven attitude
Nice to Have
1. Familiarity with Java/Spring Boot ecosystem
2. Basic understanding of performance testing concepts (load testing, profiling, metrics)