Pioneer Talent Program - Applied Data Scientist

Binance; Hong Kong; On-site; HKD 548,159 - 783,085; Full time

Benefits offered by this job

Competitive salary

Work-from-home arrangements

Opportunities for career growth

Job summary

A leading blockchain company in Hong Kong is looking for an Applied Data Scientist for the Algorithm team. This role involves designing production-grade LLM pipelines, enhancing agent capabilities for trading, and developing evaluation frameworks. Ideal candidates will have a degree in Computer Science and experience in machine learning or AI engineering, particularly with LLMs. Benefits include competitive salary, opportunities for growth, and a work-from-home arrangement as applicable.

Qualifications

• Up to 5 years of experience in applied ML or AI engineering.
• Strong programming skills in Python.
• Hands-on experience with LLMs, prompt engineering, or end-to-end application development.
• Familiarity with multi-agent systems design.

Responsibilities

• Design and implement LLM pipelines for AI products.
• Improve agent capabilities for high-frequency trading.
• Maintain evaluation frameworks for crypto contexts.
• Build data integration for crypto market signals.

Skills

Python programming

LLM application development

Analytical thinking

Experience in ML or AI engineering

Familiarity with multi-agent systems

Education

Bachelor's or Master's in Computer Science or related field

Job description

About the Pioneer Talent Program

Are you an early-career professional ready to kickstart your career in the dynamic world of blockchain? Binance’s Pioneer Talent Program is designed to nurture ambitious individuals like you. The program offers full‑time roles where participants will gain hands‑on expertise via a tailored training curriculum and personalized 1:1 mentorship from industry leaders. Dive behind the scenes of the world’s leading blockchain ecosystem while building the skills to thrive in Web3. Launch your career with purpose—join us in shaping the future of digital innovation.

Who May Apply

Candidates with up to 5 years of relevant work experience.

About the Role

We are seeking an Applied Data Scientist to join our Algorithm team—a hands‑on builder at the intersection of LLM systems, agentic AI, and crypto‑native intelligence.

You will design, build, and improve AI agents that understand markets, reason over on‑chain data, and take actions at speed for hundreds of millions of users—across reasoning models that plan before they act, multi‑agent systems that orchestrate complex crypto workflows, and test‑time scaling that pushes inference‑time intelligence to its limits.

You build for real environments: designing agent architectures, improving performance across quality and latency, developing evaluation methods for open‑ended tasks, and turning research ideas into production.

Responsibilities

• Design and implement production‑grade LLM pipelines powering Binance AI Products and next‑generation agentic trading features—including multi‑step reasoning agents, tool‑selection frameworks, and autonomous workflow execution across spot, perpetual, and on‑chain markets.
• Continuously improve agent capabilities in understanding, reasoning, tool selection, and action execution—optimizing simultaneously for intelligence, latency, and reliability under high‑frequency trading constraints.
• Build and maintain evaluation frameworks for reasoning model outputs in crypto contexts—covering market analysis accuracy, agent decision quality, hallucination detection, and adversarial robustness against prompt injection in financial workflows.
• Apply test‑time scaling techniques—chain‑of‑thought, self‑consistency, process reward models—to push agent reasoning quality in ambiguous, fast‑moving market conditions.
• Architect AI system components with rigorous attention to inference latency, throughput, and cost efficiency—leveraging serving frameworks such as vLLM and TensorRT‑LLM—in a zero‑downtime, 24/7 trading environment.
• Integrate on‑chain data sources, wallet intelligence, and crypto market signals into LLM‑powered analytical pipelines—building the data layer that makes Binance's agents genuinely crypto‑native.
• Partner with research scientists to translate experimental findings into production‑grade agentic solutions with clear performance benchmarks.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related technical field.
• 0–5 years of industry or research experience in applied ML or AI engineering.
• Strong Python programming skills; equally important: demonstrated comfort with vibe coding—using AI‑assisted development tools fluidly as core part of your workflow.
• Demonstrated hands‑on experience with LLMs—prompt engineering, post‑training, or end‑to‑end LLM application development.
• Familiarity with multi‑agent system design—task decomposition, tool use via MCP, memory management, parallel agent execution, and inter‑agent communication.
• Strong analytical thinking and problem decomposition; comfortable operating under ambiguity in fast‑moving environments.

Why Binance

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world‑class talent in a user‑centric global organization with a flat structure
• Tackle unique, fast‑paced projects with autonomy in an innovative environment
• Thrive in a results‑driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work‑from‑home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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