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Genies | Remote | $36k - $56k |
Binance
UAE, Dubai
Binance Accelerator Program - AI/ML
Asia / UAE, Dubai / Australia, Melbourne / Australia, Sydney / Hong Kong / Taiwan, Taipei
Data & Research – Data & Analytics /
Binance Accelerator Program /
Remote
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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About Binance Accelerator Program
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent 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 worlds’ 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. Learn about BAP Program HERE
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Who may apply
 Current university students and recent graduates
We are seeking a talent on AI/ML to join our Bigdata team. This role offers hands-on experience in developing advanced algorithms for Know Your Customer (KYC) and Know Your Business (KYB) products.
You’ll work on innovative projects involving computer vision, deep learning, and large language models (LLMs) to tackle real-world challenges in identity verification and fraud detection.
This talent is ideal for Master/PhD students passionate about AI and eager to contribute to high-impact fintech solutions.
Key Responsibilities
- Collaborate with the team to design, implement, and optimize algorithms for KYC/KYB processes, including Optical Character Recognition (OCR), face recognition, image quality assurance, and document tampering detection.
- Apply traditional deep learning techniques to improve model accuracy and efficiency in image processing and analysis.
- Leverage Large Language Models (LLMs) to enhance algorithm capabilities, such as integrating multimodal AI for better document understanding and anomaly detection.
- Conduct experiments, analyze data, and iterate on models to ensure robustness and scalability in production environments.
- Assist in research and development of new features to strengthen Binance’s compliance and security frameworks.
- Participate in code reviews, team meetings, and knowledge-sharing sessions to foster a collaborative environment.
Qualifications and Requirements
- Currently enrolled in a PhD program (or equivalent advanced degree) in Computer Science (CS), Electrical Engineering (EE), Information Systems (IS), or a related field at a top university.
- Strong background in machine learning, deep learning, and AI frameworks (e.g., PyTorch, TensorFlow).
- A big plus: Experience or coursework in computer vision, including techniques for image processing, object detection, or facial recognition.
- Familiarity with LLMs and their applications in multimodal tasks is highly desirable.
- Proficiency in programming languages such as Python, with experience in data processing libraries (e.g., OpenCV, NumPy, Pandas).
- Excellent problem-solving skills, attention to detail, and the ability to work independently or in a team.
- Passion for blockchain, fintech, or AI ethics is a bonus.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.