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Research Scientist - LLM Foundation Models Job Opening In WorkFromHome – Now Hiring Binance


Job description

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 a highly skilled Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation models.

In this role, you will enhance model performance across the entire development lifecycle—including data acquisition, supervised fine-tuning (SFT), reward modelling, and reinforcement learning—while driving innovations in reasoning and decision-making.

You will synthesise large-scale, high-quality datasets through rewriting, augmentation, and generation techniques to strengthen foundation models during pretraining, SFT, and RL stages.

A key part of the role involves solving complex tasks using System 2 thinking and applying advanced decoding strategies such as MCTS and A*.

You will design and implement robust evaluation methodologies, teach models to interact with external tools, APIs, and code interpreters, and build agents and multi-agent systems capable of addressing sophisticated real-world problems.


Responsibilities
  • Reasoning and planning for foundation models: Enhance reasoning and planning throughout the entire development process, including data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning, to improve overall performance.

  • Synthesize large-scale, high-quality data using methods such as rewriting, augmentation, and generation to improve the capabilities of foundation models in various stages (pretraining, SFT, RL).

  • Solve complex tasks using system 2 thinking and leverage advanced decoding strategies such as MCTS, A*.

  • Investigate and implement robust evaluation methodologies to assess model performance at various stages.

  • Teach foundation models to use tools, interact with APIs, and code interpreters.

    Build agents and multi-agent systems to solve complex tasks.

Requirements
  • Proficiency in research experience with RL, LLM, and familiarity with large-scale model training is preferred.

  • Proficiency in data structures and fundamental algorithm skills, and fluency in Python or C++/Java.

  • Experience with influential projects or papers in RL, NLP, or Deep Learning is preferred.

  • Excellent problem analysis and problem-solving skills, capable of deeply addressing challenges in large-scale model training and application.

  • Good communication and collaboration skills, with the ability to explore new technologies with the team and promote technological progress.


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

Science, Research And Teaching


  • Job Details

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Unlock Your Research Scientist Potential: Insight & Career Growth Guide


Real-time Research Scientist Jobs Trends (Graphical Representation)

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1286 Jobs in New Zealand
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Are You Looking for Research Scientist LLM Foundation Models 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

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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.

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Key qualifications for Research Scientist LLM Foundation Models typically include Science, Research And Teaching 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 Research Scientist LLM Foundation Models Job Success

Binance interview tips for Research Scientist   LLM Foundation Models

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