| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
| |||
Autheo | United States | $36k - $70k | |||
G-20 Group | Chicago, IL, United States | $100k - $150k | |||
Kraken | United States | $110k - $220k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Hibachi | Remote | $150k - $200k | |||
Luxium AG | Zug, Switzerland | $210k - $320k | |||
Zscaler | Remote | $45k - $65k | |||
Okx | Remote | $122k - $180k | |||
Layerzerolabs | Vancouver, Canada | $104k - $150k | |||
Jumpcrypto | Remote | $150k - $200k | |||
Gsrmarkets | Remote | $64k - $86k | |||
Gsrmarkets | Remote | $90k - $120k | |||
Chainlink Labs | New York, NY, United States | $72k - $80k | |||
Alpaca | Remote | $90k - $145k | |||
Kronosresearch | Remote | $105k - $112k |
Binance Accelerator Program - Research Data Scientist
About the Role
For all students looking to gain hands-on experience! You'll work directly with senior scientists on research problems at the frontier of LLM reasoning, post-training methodology, and agentic AI — applied to global crypto markets. Your work has a direct path to production systems serving hundreds of millions of users, and where findings warrant it, a clear path to external publication.
You run experiments, implement ideas from recent research, synthesize papers into hypotheses, and work with engineers to understand how research translates to real systems.
This is not a purely literature-review or passive research role. You are expected to think independently and generate insight.
Responsibilities
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Contribute to the design and execution of experiments in reasoning model training, post-training alignment, test-time scaling, or systematic model evaluation — with a focus on applications in financial and crypto-native contexts
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Review and synthesize recent academic literature at NeurIPS, ICML, ICLR, and ACL — tracking developments in reasoning, alignment, and agentic AI to inform and sharpen ongoing research directions
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Implement model variants, training procedures including RLVR-based approaches, and evaluation protocols using PyTorch and the Hugging Face ecosystem
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Track and log experiments systematically using Weights & Biases or equivalent — maintaining reproducibility standards throughout
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Explore the intersection of LLM reasoning and crypto-native data: on-chain signals, market microstructure, multi-modal market intelligence — identifying research opportunities unique to Binance's position
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Collaborate with applied engineering teams to understand how research findings translate into production constraints in a zero-downtime, 24/7 trading environment
Qualifications
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Currently pursuing a Master's or PhD in Machine Learning, Computer Science, Mathematics, or related field strongly preferred;
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Expected graduation in 2026, 2027, or 2028
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Strong Python programming skills and PyTorch proficiency; C++ or Rust exposure a plus. Equally important: demonstrated comfort with vibe coding — using AI-assisted development tools fluidly as part of your research and experimentation workflow
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Solid understanding of transformer architectures, large language model pretraining, and the evolution toward reasoning models
What does a Rust developer in web3 do?
A Rust developer in the context of web3 is a programmer who uses the Rust programming language to build applications and tools for the decentralized web, also known as the web3 ecosystem
The specific responsibilities of a Rust developer in web3 may vary depending on the project or organization they are working for, but in general, they would be responsible for writing, testing, and maintaining Rust code that is used to build web3 applications
This could include things like creating smart contracts for decentralized finance (DeFi) applications, building tools for interacting with decentralized storage networks, or developing decentralized applications (dApps) for the web3 ecosystem.