Java Jobs in Web3

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Job Position Company Posted Location Salary Tags

Token Metrics

Remote

$76k - $108k

Token Metrics

Bratislava

$76k - $108k

Token Metrics

Mumbai, India

$76k - $108k

Token Metrics

Manila, Philippines

$76k - $108k

Token Metrics

Karachi, Pakistan

$76k - $108k

Token Metrics

Istanbul, Turkey

$76k - $108k

Token Metrics

Islamabad, Pakistan

$76k - $108k

Token Metrics

Ho Chi Minh

$76k - $108k

Token Metrics

Hanoi, Vietnam

$76k - $108k

Token Metrics

Remote

$76k - $108k

Token Metrics

Tirana, Albania

$76k - $108k

Token Metrics

Ho Chi Minh

$112k - $156k

Token Metrics

Islamabad, Pakistan

$112k - $156k

Token Metrics

Lagos, Nigeria

$112k - $156k

Token Metrics

Remote

$112k - $156k

Crypto Data Scientist TaiwanRemote

Token Metrics
$76k - $108k estimated

This job is closed

Crypto Data Scientist (Taiwan-Remote)

Data Science Team /
Full-Time /
Remote

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Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

As a machine learning engineer, you should demonstrate solid data science knowledge and experience.

A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.

Responsibilities

    • Consulting with the manager to determine and refine machine learning objectives.
    • Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
    • Transforming data science prototypes and applying appropriate ML algorithms and tools.
    • Ensuring that algorithms generate accurate user recommendations.
    • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
    • Developing ML algorithms to analyze huge volumes of historical data to make predictions.
    • Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
    • Documenting machine learning processes.
    • Keeping abreast of developments in machine learning.

Requirements

    • Bachelor's degree in computer science, data science, mathematics, or a related field.
    • Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
    • At least two years' experience as a machine learning engineer.
    • Advanced proficiency with Python, Java, and R code.
    • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
    • In-depth knowledge of mathematics, statistics, and algorithms.
    • Superb analytical and problem-solving abilities.
    • Great communication and collaboration skills.
    • Excellent time management and organizational abilities.
About Token Metrics

Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions. 

Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
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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.