Machine Learning Jobs in Web3

277 jobs found

web3.career is now part of the Bondex Logo Bondex Ecosystem

Receive emails of Machine Learning Jobs in Web3
Job Position Company Posted Location Salary Tags

Metrika Inc.

Athens, Greece

$45k - $100k

Gemini

New York, NY, United States

$45k - $100k

Worldcoin.org

remote

$98k - $156k

Ripple

San Francisco, CA, United States

$30k - $70k

Kronos Research

remote

$30k - $70k

Brave

San Francisco, CA, United States

$43k - $65k

Brave

remote

$28k - $75k

Spring Labs

Los Angeles, CA, United States

$72k - $100k

Rarible

Moscow, Russia

$81k - $100k

Coinbase

Remote

Coinbase

Remote

$98k - $156k

Coinbase

Remote

$98k - $156k

Coinbase

Remote

$72k - $100k

Coinbase

Remote

Coinbase

Metrika Inc.
$45k - $100k estimated
I Athens GR
Apply

We are building the world's premier Operational Intelligence platform for Blockchain. We strive to develop our systems by observing the best practices of our craft; this means writing testable, performant, easy to maintain and constantly improving code, while enabling our company to iterate our product fast and stay ahead.


These are the early days of our platform, and as a Senior Machine Learning Engineer you will be able to contribute, influence and take ownership in significant parts of our product. Our goal is a platform capable of analyzing thousands of metrics across multiple blockchain networks in real-time, estimating system performance characteristics, generating insights for network operators, node runners and users, forecasting SLA and operational degradation before it occurs, helping our customers build effective governance onto their networks.


If you are a Senior Machine Learning Engineer, with a solid understanding of time-series analysis, deep learning, the ML lifecycle, MLOps, great passion for your work and would love to work with a globally distributed team, join us!


What this position is all about:

  • Developing and implementing relevant forecasting, clustering, classification and anomaly detection algorithms and models for blockchain operational data/time-series.
  • Designing, managing and maintaining machine learning pipelines, working alongside the SRE, engineering and analytics teams. This includes deploying, managing, maintaining and even improving platforms offering ML exploration, tracking (experiments, models), training (including hyperparameter tuning) and model serving.
  • Owning your work. This means being responsible for your code's documentation, tests, as well as observability/instrumentation and documentation (as applicable.)
  • Understanding, participating and contributing to the company goals, regardless of your role. Metrika is a small company with a very inclusive culture. We are looking for people that share those values with us.
  • Please note: Our Engineering team is predominantly based in Europe. This position is currently open to residents of the European Union, and those residents of the eastern United States/Canada (UTC-4/UTC-5 timezone)

    Metrika Inc. is an Equal Opportunity employer. All applicants will be considered without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.

    <br/><br/>

    You will need:

  • A Master's degree in Computer Science or a related technical field. Higher degrees are preferred.
  • Experience in Algorithms, Data Mining and Processing, Distributed Systems, Machine Learning, Networking and Statistics.
  • Experience in designing, building, maintaining and extending production-grade systems with exposure to AB testing and machine learning methodologies.
  • The ability to function autonomously to solve problems, and deliver working software from design through to implementation. Our geographic distribution requires people that can work well on their own.
  • The ability to communicate well with your team, both interactively and asynchronously, and that of being a positive, constructive team member. You will be expected to work closely with both our analytics and our SRE/infrastructure and software engineering teams.
  • You'll probably be a great fit if you have:

  • Experience with blockchain systems.
  • Experience with scalable machine learning pipelines.
  • Experience with time series analysis and forecasting, anomaly detection
  • Experience with federated learning.
  • 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.