Java Jobs in Web3

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Job Position Company Posted Location Salary Tags

Binance

Taipei, Taiwan

Logos

Rio De Janeiro, Brazil

$81k - $95k

Codex

Lisbon, Portugal

$81k - $95k

Blockchain.com

London, United Kingdom

$87k - $110k

Binance

South East Asia

A&C Tech, Inc

United States

$130k - $160k

Bitso

Latin America

$126k - $148k

Hermeneutic Investments

Remote

$180k - $240k

Echo Base

Remote

$140k - $144k

Zinnia

Remote

$126k - $127k

Zinnia

Remote

$98k - $150k

Chainlink Labs

Zug, Switzerland

$18k - $36k

Bitpanda

Bucharest, Romania

$126k - $127k

Paxos

Remote

$91k - $100k

Crypto.com

United States

$92k - $110k

Binance
Taiwan, Taipei
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Data Scientist (NLP)

Asia / Taiwan, Taipei / Thailand, Bangkok / Japan, Tokyo
Engineering ā€“ Data Science/AI /
Full-time: Remote /
Remote

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Binance is a leading global blockchain ecosystem behind the worldā€™s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 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.

This position will be under our Risk AI team, focusing on NLP-related projects. You will utilize internal data to train models and develop applications based on these models. As a data scientist, you will leverage PB-level data and state-of-the-art machine learning infrastructure to create data products for millions of cryptocurrency users. You will collaborate with engineers, data analysts, business operations, and product/marketing managers to define and build solutions, features, algorithms, and products.

Responsibilities:

    • Apply Natural Language Processing (NLP) techniques to preprocess, analyse, and extract insights from large textual datasets. Develop and fine-tune Large Language Models (LLMs) and multimodal models to derive actionable insights and enhance business decision-making processes.
    • Work closely with business units to identify opportunities for leveraging company data and AI models to drive innovative business solutions and improve decision-making processes.
    • Perform data cleaning, transformation, and preprocessing to create high-quality datasets for analysis and modeling. Ensure data integrity and consistency throughout the process.
    • Conduct exploratory data analysis to uncover patterns, trends, and relationships within the data. Generate visualisations and summaries to effectively communicate findings to stakeholders and support data-driven decision-making.
    • Stay abreast of the latest developments in artificial intelligence, with a particular focus on advancements in multimodal AI, to ensure the integration of cutting-edge technologies and methodologies into our data-driven solutions.
    • Develop and apply feature engineering techniques to create meaningful features that improve the performance of models. This includes deriving new features from raw data, selecting relevant features, and transforming existing features to enhance model accuracy and efficiency.

Requirements:

    • Holds a Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Computational Linguistics, or a related field.Ā 
    • A minimum of 3 years of relevant industry experience in AI/ML and Natural Language Processing is required. Experience in multimodal AI is highly preferred.
    • Proficient in big data technologies such as Apache Spark, Apache Hadoop and Apache Kafka and VectorDB.
    • Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, neural networks, hyperparameter optimisation, etc.
    • Solid understanding and practical experience with deep learning architectures, including transformer models (e.g., BERT, GPT). Ability to implement, optimize, and fine-tune these models for various tasks using techniques such as LoRA.
    • Proficiency in programming languages such as Python, Java, or similar, with experience in machine learning (ML), natural language processing (NLP) libraries, and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, SpaCy, and NLTK.
    • Demonstrated experience in handling severely imbalanced datasets. Knowledge of techniques and strategies to address imbalances in data.
Why Binance
ā€¢ Shape the future with the worldā€™s leading blockchain ecosystem
ā€¢ Collaborate with world-class talent in a user-centric global organization with a flat structure
ā€¢ Tackle unique, fast-paced projects with autonomy in an innovative environment
ā€¢ Thrive in a results-driven workplace with opportunities for career growth and continuous learning
ā€¢ Competitive salary and company benefits
ā€¢ 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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What does a Java developer in web3 do?

A Java developer in web3 would likely be focused on developing applications that use the Java programming language in the context of the web3 technology stack

Web3 is a collective term used to refer to the next generation of decentralized, blockchain-based technologies that are aimed at creating a more open and secure internet

In this context, a Java developer would be responsible for writing code that interacts with web3 technologies, such as decentralized applications (DApps) and smart contracts, to create new tools and services that run on the blockchain

This could involve working with cutting-edge technologies such as Ethereum, which is a popular blockchain platform that uses the Java programming language, as well as other web3 technologies and frameworks.