Job Position | Company | Posted | Location | Salary | Tags |
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Binance | Bangkok, Thailand |
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Binance | Bangkok, Thailand |
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Binance | Bangkok, Thailand |
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Zscaler | Remote | $182k - $260k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Zinnia | Remote | $88k - $101k | |||
Artemis | New York, NY, United States | $120k - $200k | |||
Pye | New York, NY, United States | $36k - $87k | |||
Confirmo | Prague, Czech Republic | $86k - $87k | |||
Zinnia | Remote | $88k - $97k | |||
Okx | Remote | $143k - $257k | |||
Launchpadtechnologiesinc | Latam | $86k - $109k | |||
Gsrmarkets | Remote | $80k - $95k | |||
Bitgo | Remote | $180k - $210k | |||
MoonPay | United Kingdom | $96k - $108k | |||
Drift Protocol | Remote | $105k - $120k |
Data Scientist, Reinforcement Learning
Responsibilities:
- Research and develop state-of-the-art RL algorithms, focusing on large model optimization and alignment techniques.
- Design and implement RL training pipelines, including environment simulation, data generation, and reward function design.
- Apply RL methods to enhance LLM/VLM/Agentic AI capabilities in reasoning, planning, and autonomous decision-making.
- Collaborate with engineers and researchers to integrate RL solutions into enterprise AI platforms.
- Monitor model performance in production and continuously improve through iterative training and fine-tuning.
Requirements:
- Master’s degree in Computer Science, Applied Mathematics, Machine Learning, or related fields.
- 3+ years of hands-on experience in RL or LLM/VLM/Agentic AI optimization.
- Strong coding skills in Python, with experience in ML frameworks and RL libraries.
- Experience with large-scale distributed training and optimization.
- Self-driven, ownership mindset, and strong problem-solving skills. Excellent communication skills for cross-functional collaboration.
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.