Machine Learning Jobs in Web3

120 jobs found

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Job Position Company Posted Location Salary Tags


Sydney, Australia

$90k - $150k


Singapore, Singapore

$91k - $105k

Kraken Digital Asset Exchange


$135k - $203k


Toronto, Canada

$94k - $96k



$165k - $180k


San Francisco, CA, United States

$97k - $150k




$63k - $70k





$112k - $156k

Cerebellum Network


$81k - $100k


San Jose, CA, United States

$76k - $150k


Palo Alto, CA, United States

$160k - $260k


Los Angeles, CA, United States

$21k - $64k

Kraken Digital Asset Exchange


$36k - $70k

Kraken Digital Asset Exchange


$63k - $120k



$105k - $108k

Magic Eden

San Francisco, CA, United States

$180k - $220k

Hologram Labs

New York, NY, United States

$122k - $156k

Kraken Digital Asset Exchange


$63k - $75k


San Francisco, CA, United States

$87k - $120k


San Francisco, CA, United States

$87k - $120k


San Francisco, CA, United States

$96k - $120k


San Francisco, CA, United States

$84k - $120k



$63k - $75k

$90k - $150k est.
NSW Sydney, New South Wales, Australia


Are you a seasoned Infrastructure and DevOps Engineer with a passion for driving technical excellence and optimizing performance? We're seeking two experienced individuals to join our dynamic team and play a critical role in our development and expansion phases. As a Senior Infrastructure and DevOps Engineer, you will be Responsible for looking at performance engineering and planning for the next phase of Openmesh expansion. Also responsible in making sure Openmesh platform's technical infrastructure is ensured of optimal performance and stability.

About us

For the last 3 years, we have been building a petabyte-scale decentralized data infrastructure for crypto and Web 3.0 without a middleman, allowing everyone to have access to quality immutable data.

We believe access to reliable unedited information is a fundamental right, an aspect of a free and democratic society, and the only way to scale crypto & web3. The Core Principles of Openmesh Network, by design, has no single authority that can alter its data, how the information is distributed or controlled, or who can see what and when. The infrastructure and entire technology stack is open-source and governed by an open-source community. You will have the opportunity to contribute to the development of one of the world's first large-scale open data clouds and analytics engines. Openmesh is a dedicated global initiative that brings together brilliant minds in the tech industry to create open data and open infrastructures that will be pivotal in shaping the next10-20years.


  • Project Innovation: Lead the development of a pioneering project that integrates dynamic Knowledge Graph and Language Learning Model (LLM) with on-chain and DEX data to revolutionize the DeFi sector.
  • DeFi Expertise: Apply your deep knowledge of the DeFi landscape to design and implement machine learning and NLP solutions that enhance understanding of complex transactions, empower developers, and facilitate the creation of advanced financial products and services.
  • Solution Implementation: Develop and deploy DeFi Knowledge-Graph-as-a-service APIs and DeFi LLM-as-a-service APIs, ensuring accessibility, intelligence, and interactivity for a wide range of users.
  • Collaboration: Collaborate with cross-functional teams, including data providers and technical support, to ensure the availability of real-time and historical data for constructing the Knowledge Graph and LLM.
  • Technical Excellence: Leverage your expertise to establish and customize the SuperNode infrastructure, ensuring stability and efficiency for project commencement.
  • Data Enrichment: Work closely with our Openmesh Infrastructure team to ensure the availability of categorized on-chain DeFi data, DEX native data, and Ethereum consensus layer data.
  • Model Enhancement: Continuously refine and enhance the Knowledge Graph and LLM to deliver valuable insights and predictions for DeFi decision-making.
  • Project Oversight: Contribute to the project management process by overseeing timelines, deliverables, and KPIs in collaboration with the project team.


  • Advanced degree (Ph.D. preferred) in Machine Learning, Computer Science, or a related field.
  • Extensive experience in machine learning, NLP, and data-driven project leadership.
  • Proven track record of innovation in the DeFi sector, demonstrated by successful projects and publications.
  • Proficiency in designing and implementing dynamic Knowledge Graphs and Language Learning Models.
  • Strong programming skills in Python, and familiarity with libraries such as TensorFlow, PyTorch, and spaCy.
  • Experience with deploying and managing APIs and utilizing web3 interfaces.
  • Knowledge of blockchain technology, DeFi Networks, and decentralized exchanges.
  • Exceptional analytical and problem-solving abilities.
  • Effective communication skills to collaborate with cross-functional teams.

About OPEN Data and Infrastructure Day

We are hosting OPEN Conference and Hackathon as an annual event to gather developers, data scientists, entrepreneurs, regulators, and large corporations to educate and bring new perspectives about how disruptive Web3 is as compared to our current and previous internet systems. The primary aim of this event is to raise awareness about the importance and urgency of solving the problem of concentrated power over our data and information technology (IT) technologies.

We want to provide valuable insights into the unique challenges and opportunities in the next generation of the internet, which is Web 3.0.

Why is it important and urgent to explore decentralization?

We want to put a halt to trusting centralized systems and handing over our future to them. When someone has access and control over a massive resource, things will always have a way to go overboard, and use it irresponsibly. They may have moral or ethical codes but having control over data as a great example has shown us how it was used commercially to control how a society thinks, and acts. We have seen how big Web2 corporations take advantage of our data. Web 3.0 presents an opportunity and responsibility for all of us to invent, define, question, and build better technologies for the future of the Internet, with a focus on decentralization and the empowerment of individuals.

OPEN conference, as an initiative within the Web3 space, will be an open area to challenge ideas about how we are going to build technologies, infrastructures, and standards across Web3.

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Is machine learning a good career?

Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it

As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data

Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process

Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more

These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology

The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive

However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science

It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field

If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.