Data Scientist(LLM)

Reposted 6 Hours Ago
19 Locations
Remote or Hybrid
Mid level
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
The Role
Conduct research and development on LLM technologies (RAG, prompt engineering, knowledge-grounded dialogue). Improve foundation model performance via data acquisition, evaluation, SFT, reward modeling, and RL. Prototype downstream AI/agent products for Binance and track academic and industry advances.
Summary Generated by Built In
Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.
Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.

If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.


Responsibilities:

  • Conduct research on cutting-edge LLM technologies, including but not limited to: large language models and fine-tuning techniques, retrieval-augmented generation (RAG), prompt engineering, and knowledge-grounded dialogue systems.
  • Enhance overall performance for foundation models, encompassing data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning.
  • Explore new downstream products with AI and AI agent technologies at their core for Binance products.
  • Stay up-to-date with the latest academic and industrial advancements in AI, LLMs, etc.

Qualifications:

  • Master’s or PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • At least 3-5 years of relevant industry experience in developing Machine Learning models at scale from inception to business impact
  • Research experience in LLMs, multi-modal understanding, vision and language, and other related topics.
  • Highly competent in algorithms and programming; strong coding skills in Python, C/C++, etc.

  • Preferred Qualifications
  • Experience in NLP and LLM technologies.
  • Publications in top-tier venues, such as KDD, CVPR, NeurIPS, ICLR, ICML, EMNLP, ACL, ECCV, ICCV, etc.

Skills Required

  • Master's or PhD in Software Development, Computer Science, Computer Engineering, or related technical discipline
  • 3-5 years relevant industry experience developing machine learning models at scale from inception to business impact
  • Research experience in LLMs, multi-modal understanding, vision and language, and related topics
  • Strong algorithms and programming skills; strong coding in Python and C/C++
  • Experience in NLP and LLM technologies
  • Publications in top-tier venues (KDD, CVPR, NeurIPS, ICLR, ICML, EMNLP, ACL, ECCV, ICCV)

Binance Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.

  • Career-Linked Recognition & Rewards Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
  • Flexible Benefits Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
  • Retirement Support Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.

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The Company
HQ: Singapore
7,696 Employees
Year Founded: 2017

What We Do

Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com

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