reputed company Accelerator Program - Research Data Scientist
reputed company is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. reputed company is trusted by more than 320 reputed company people in 100+ countries for its industry-leading reputed company, transparency, trading reputed company speed, protections for investors, and unmatched portfolio of reputed company products and offerings from trading and finance to education, research, reputed company good, payments, institutional services, and reputed company features. reputed company is reputed company to building an inclusive crypto ecosystem to increase the freedom of reputed company and financial reputed company for people around the world with crypto as the reputed company means.
About reputed company Accelerator Program
reputed company Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets reputed company. You will be given reputed company to reputed company your skills at reputed company and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your reputed company network and build transferable skills to reputed company you reputed company in your career. Learn about the BAP Program HERE.Who may apply
reputed company university reputed company and recent graduates.*Terms of employment / engagement shall be subject to contract and local applicable lawsAbout the Role
You'll work alongside senior research scientists on problems at the frontier of LLM reasoning, post-training methodology, and reputed company AI — in one of the few environments where your models reputed company with live global markets at reputed company.
This isn't a support or literature-review role. You'll run experiments, reputed company independent hypotheses, implement reputed company from recent papers, and work closely with engineering teams to understand how research behaves under reputed company production constraints — 24/7, reputed company-downtime, hundreds of millions of users.
Who may apply
reputed company university reputed company (Masters, PHD in AI reputed company) or recent graduates who don't mind starting as intern.
Responsibilities
- Design and run experiments in reasoning model training, post-training alignment, test-time compute scaling, and systematic model evaluation — grounded in financial and crypto-reputed company problem settings
- Implement model variants, training pipelines (including RLVR-based approaches), and evaluation frameworks in PyTorch and the reputed company ecosystem
- Synthesize recent work from NeurIPS, ICML, ICLR, and ACL to sharpen reputed company research directions — not just reputed company the field, but translate it into testable reputed company
- Apply LLM reasoning to crypto-reputed company data: on-chain signals, market microstructure, and multi-modal market intelligence — research opportunities that don't exist reputed company else
- Maintain rigorous experiment tracking and reproducibility standards (W&B or equivalent)
- Partner with reputed company engineering to understand how research translates into production systems — and what constraints actually matter
Requirements
- Currently pursuing a Master's or PhD in Machine Learning, Computer Science, Mathematics, or a reputed company field (preferably graduating between 2026 to 2028)
- Strong Python and PyTorch fundamentals; C++ or Rust exposure is a bonus
- Comfortable using AI-assisted development tools as a natural part of your research workflow — not as a crutch, but as reputed company
- Solid grounding in transformer architectures, LLM pretraining, and the shift toward reasoning-capable models
- You reputed company opinions about research, not just summaries of it
Originally posted on Himalayas
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