Pioneer Talent Program - Applied Data Scientist (FTE)

Asia +1
Full time
Hybrid
Compensation is not specified
Role
Data Scientist
Description

Are you an aspiring professional eager to embark on a career within the dynamic realm of blockchain technology? Join Binance's Pioneer Talent Program, crafted to nurture ambitious individuals like yourself. This program provides full-time positions allowing participants to acquire hands-on expertise through a customized training program and personalized mentorship from industry experts. Gain insight into the operations of the leading blockchain ecosystem while honing the skills necessary to excel in Web3. Embrace this opportunity to kickstart your career with purpose and contribute to the future of digital innovation.

Job Responsibilities

  • Formulate and implement advanced LLM pipelines to power Binance's AI Products and cutting-edge agentic trading features across various markets including spot, perpetual, and on-chain markets.
  • Enhance agent capabilities in comprehension, reasoning, tool selection, and execution, optimizing for intelligence, latency, and reliability amidst high-frequency trading demands.
  • Create and manage evaluation frameworks to assess reasoning model outputs within cryptocurrency contexts, ensuring market analysis accuracy and agent decision quality.
  • Deploy test-time scaling methods to augment agent reasoning quality in fast-paced and ambiguous market conditions, leveraging techniques like chain-of-thought and process reward models.
  • Design AI system components with a focus on inference latency, throughput, and cost efficiency, utilizing serving frameworks such as vLLM and TensorRT-LLM within a non-stop trading environment.
  • Integrate on-chain data sources, wallet intelligence, and crypto market signals into LLM-powered data pipelines, enabling Binance's agents to be genuinely crypto-native.
  • Collaborate with research scientists to transition experimental outcomes into agentic solutions for production with clear performance benchmarks.

Job Qualifications

  • Hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related technical field.
  • Possess 0–5 years of industry or research experience in applied machine learning or artificial intelligence engineering.
  • Exhibit proficiency in Python programming and a demonstrated comfort with vibe coding within AI-assisted development tools as an integral part of workflow.
  • Display firsthand experience with LLMs in areas like prompt engineering, post-training, or end-to-end LLM application development.
  • Showcase familiarity with multi-agent system design concepts including task decomposition, tool utilization via MCP, memory management, parallel agent execution, and inter-agent communication.
  • Demonstrate strong analytical thinking and problem-solving skills with the ability to navigate ambiguous and fast-paced environments effectively.

Why Binance

  • Contribute to shaping the future with a prominent blockchain ecosystem
  • Collaborate with top-tier talent in a user-centric global organization with a flat structure
  • Engage in unique, fast-paced projects autonomously within an innovative setting
  • Flourish in a results-driven environment with opportunities for personal development and continuous learning
  • Receive a competitive salary and comprehensive company benefits
  • Experience a work-from-home arrangement tailored to the business team's work nature

Binance is dedicated to fostering an inclusive workforce, believing that diversity is integral to our success. By applying for a job with us, you acknowledge having read and accepted our Candidate Privacy Notice. We may leverage artificial intelligence tools to support various parts of the hiring process, assisting the recruitment team but not replacing human judgment. Final recruitment decisions are ultimately made by humans. For more information on how your data is handled, feel free to contact us.

Skills Required
Avatar
Binance
Website
Not specified
Company size
Not specified
Location
United States
Description
Not specified

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