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Data Scientist/Algorithm Engineer (LLM) – AI Safety Job Opening In WorkFromHome – Now Hiring Binance


Job description

Overview

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users.

We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products.

Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more.

We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About the Role

We are seeking an Data Scientist - AI Safety to join our AI/ML team, with a focus on building robust AI guardrails and safety frameworks for large language models (LLMs) and intelligent agents.

This role is pivotal in ensuring trust, compliance, and reliability in Binance’s AI-powered products such as Customer Support Chatbots, Compliance Systems, Search, and Token Reports .

Responsibilities

  • Design and build an AI Guardrails framework as a safety layer for LLMs and agent workflows
  • Define and enforce safety, security, and compliance policies across applications
  • Detect and mitigate prompt injection, jailbreaks, hallucinations, and unsafe outputs
  • Implement privacy and PII protection : redaction, obfuscation, minimisation, data residency controls
  • Build red-teaming pipelines, automated safety tests, and risk monitoring tools
  • Continuously improve guardrails to address new attack vectors, policies, and regulations
  • Fine-tune or optimise LLMs for trading, compliance, and Web3 tasks
  • Collaborate with Product, Compliance, Security, Data, and Support to ship safe features

Requirements

  • Master’s/PhD in Machine Learning, AI, Computer Science, or related field
  • Research track record (ICLR, NeurIPS, ACL, ICML) a plus
  • Hands-on experience building LLM/agent guardrails (policy design, refusal rules, filtering, permissions)
  • Practical experience with hallucination mitigation and safety evaluation
  • Proven ability to ship AI safety frameworks to production
  • Strong coding in Python (Java a plus); expertise in PyTorch/TensorFlow/JAX
  • Understanding of privacy, PII handling, data governance, and risk frameworks
  • Interest in crypto, Web3, and financial systems
  • Self-driven with strong ownership and delivery skills
  • Excellent communication and collaboration abilities

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.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

#J-18808-Ljbffr

Required Skill Profession

Database, Analytics & Bi


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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in WorkFromHome, New Zealand, highlighting market share and opportunities for professionals in Data Scientist roles.

2993 Jobs in New Zealand
2993
1908 Jobs in Workfromhome
1908
Download Data Scientist Jobs Trends in Workfromhome and New Zealand

Are You Looking for Data Scientist/Algorithm Engineer (LLM) – AI Safety Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Binance adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying New Zealand laws and regulations

What Is the Average Salary Range for Data Scientist/Algorithm Engineer (LLM) – AI Safety Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Scientist/Algorithm Engineer (LLM) – AI Safety?

Key qualifications for Data Scientist/Algorithm Engineer (LLM) – AI Safety typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist/Algorithm Engineer (LLM) – AI Safety Job Success

Binance interview tips for Data Scientist/Algorithm Engineer (LLM) – AI Safety

Here are some tips to help you prepare for and ace your Data Scientist/Algorithm Engineer (LLM) – AI Safety job interview:

Before the Interview:

Research: Learn about the Binance's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist/Algorithm Engineer (LLM) – AI Safety interview at Binance, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Binance's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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