| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
| |||
LiquidX | Kuala Lumpur, Malaysia | $79k - $100k | |||
TRM Labs | Sao Paulo, Brazil | $90k - $115k | |||
Stripe | Remote | $79k - $84k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Nomos | Amsterdam, Netherlands | $104k - $105k | |||
Crypto.com | Shenzhen, China | $98k - $109k | |||
Launchpadtechnologiesinc | Latam | $84k - $109k | |||
Fireblocks | Remote | $76k - $54k | |||
ProphetBots | Remote | $72k - $108k | |||
Chaoslabs | Remote | $105k - $120k | |||
Foundrydigitalinternships | Bangalore, India | $75k - $100k | |||
Immutable | APAC | $90k - $145k | |||
IMC | Remote | $73k - $108k | |||
Immutable | APAC | $90k - $145k | |||
PalWallet | Remote | $40k - $60k |
Senior Data Scientist ( LLM - Chatbot)
Responsibilities:
- Responsible for the research and implementation of related algorithms in the fields of task-based dialogue, open domain QA , and customer service Chatbot.
- Drive core technology development for LLM (especially for RAG and chatbot) 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.
- Conduct cutting-edge research to stay ahead of the latest developments in LLM and AGI technologies, applying these advancements to solve complex business challenges.
- Develop scalable and robust LLM/RAG frameworks that can be adapted to chatbot, driving innovation and maintaining a competitive edge in the market.
Requirements:
- Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language.
- Hands-on 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.
- Stay ahead of the latest developments in LLM and AGI technologies.
- Passionate about technology, good communication skills and teamwork spirit.
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.