Senior Data Scientist- Llm

1 week ago

Singapore Binance Full time

Large Language Models (LLMs) represent a cutting-edge advancement in artificial intelligence, capable of understanding, generating, and processing human language with remarkable accuracy. Leveraging vast amounts of data, these models can perform a wide range of tasks, from text generation to complex problem-solving, making them invaluable across various industries. This scope extends beyond LLMs to include multi-modal LLMs that integrate video, image, audio, text, and code, as well as exploring the frontier of AGI (Artificial General Intelligence) technologies.

Crypto Market Analysis: Developing models that can analyze and predict market trends, providing insights and forecasts that are crucial for making informed decisions in the fast-paced world of cryptocurrency.

Smart Investment Advisors: Creating intelligent systems that offer personalized investment advice based on real-time data and sophisticated risk assessment, helping clients navigate the financial landscape with confidence.

Advanced Data Interpretation: Utilizing your skills to enhance the model’s ability to interpret complex financial data, regulatory changes, and market signals, ensuring our clients stay ahead of the curve.

**Responsibilities**:

- Drive core technology development for LLM, continuously optimizing comprehension, reasoning, and generation capabilities.
- Collaborate with cross-functional teams, to integrate advanced LLM solutions into existing systems, ensuring seamless operation and maximum impact.
- Work closely with prompt engineers to refine and optimize prompt design, enabling more accurate and contextually relevant outputs from LLMs.
- Develop scalable and robust LLM frameworks that can be adapted to various domains, driving innovation and maintaining a competitive edge in the market.

**Requirements**:

- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.
- Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.
- Excellent problem analysis and solving skills, and passionate about solving challenging problems.
- Passionate about technology, good communication skills and teamwork spirit.

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