| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Openmesh Network | New York, NY, United States | $91k - $115k | |||
Sec3 | Remote | $72k - $115k | |||
Openmesh | Sydney, Australia | $90k - $150k | |||
OKX | Singapore, Singapore | $91k - $105k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kraken Digital Asset Exchange | Remote | $135k - $203k | |||
Ripple | Toronto, Canada | $94k - $96k | |||
Strike | Remote | $165k - $180k | |||
Heretic | San Francisco, CA, United States | $97k - $150k | |||
FLock.io | Remote |
| |||
Numus | Remote | $63k - $70k | |||
CERE NETWORK | Remote |
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AuditOne | Remote | $112k - $156k | |||
Cere Network | Europe |
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Okcoin | San Jose, CA, United States | $76k - $150k | |||
OP3N | Los Angeles, CA, United States | $21k - $64k |
This job is closed
About Openmesh and Xnode
Today a handful of corporations control 90% of the world's data and IT infrastructure and we are expected to trust them. This is not just bad for business; it's bad for everyone. Information asymmetry has led to social inequality, scandals, polarization, and corruption. Sometimes, it has even led to war. Centralized data control acts as a potential chokepoint for innovation, raises privacy concerns, and creates a bottleneck for the free flow of data.
Openmesh is a cutting-edge new open-source cloud infrastructure and a global open data network aimed at storing important global data without a middleman. It is the largest open web3 data lake, covering approximately 80% of the entire crypto and web3 ecosystem today. In 2023 and 2024, we aim to expand our data coverage to include public health and scientific research data.
Openmesh enables anyone to create their own decentralized data cloud, connect globally, share data securely, slash deployment costs, and automate data cloud setup. The Openmesh Network is designed to collect, store, process, stream, and provide data connectivity for anyone, anywhere, anytime, without the need for registration, licensing, or payments. Think of Openmesh as the internet's open data fabric. It grants universal access and prevents interferences created by regulators, governments, corporations, and even its own creators. The possibilities are endless.
Core Products
Our flagship product, Xnode, is an integral part of this vision, offering a revolutionary platform for developers to build decentralized data clouds. Xnode, enables developers to build their own decentralized data clouds with data connectivity, data APIs, and query & analytics engines in mere minutes, instead of weeks or months. They pay only for computing and storage, sidestepping licensing and setup fees. Xnode facilitates a 10-15 fold cost reduction in running and operating data clouds and can save over 95% of deployment time.
Pythia is a powerhouse analytics & query engine that transforms raw data into actionable insights. Pythia allows anyone to design, build, visualize, and deploy powerful data products.
Unified APIs provide a single endpoint for all crypto & web3 data, making it accessible to anyone, anywhere, without any costs. There are no licenses, registrations, or setup fees involved.
Our vision
Our vision is to democratize data and address information asymmetry at a scale. Data & information is the most valuable commodity in the world. Without quality, reliable data, all webpages, apps, and the entire internet will stop working. We believe access to reliable, unedited information is a fundamental right- an aspect of a free and democratic society. The Core Principles of Openmesh, 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.
About the Role
As a Senior Machine Learning Engineer, you will pioneer the development of AI models tailored for blockchain analytics within the Xnode framework, advancing the capabilities of decentralized applications.
Your Impact
- Develop and deploy advanced AI models for blockchain analytics within the Xnode ecosystem.
- Lead cross-functional collaboration to seamlessly integrate machine learning solutions.
- Stay abreast of advancements in AI and blockchain technologies, contributing to Xnode's leadership in the space.
- Contribute to the development of state-of-the-art AI models, enhancing blockchain analytics capabilities.
- Lead the integration of machine learning solutions, positioning Xnode as a pioneer in AI for blockchain.
- Share industry insights and advancements, contributing to the organization's thought leadership.
Key Responsibilities & Qualifications
- Master's or Ph.D. in Machine Learning, Computer Science, or a related field.
- Extensive experience in developing and deploying machine learning models.
- Proficiency in programming languages such as Python or TensorFlow.
- Proven leadership skills, with experience in guiding high-performing teams towards complex project delivery.
- Exceptional communication skills, with the ability to articulate complex technical concepts to diverse audiences.
- Strategic thinker with a knack for identifying industry trends and integrating them into product development.
Why Join Us
- Lead a revolutionary product that is reshaping the landscape of data management and accessibility.
- Collaborate with a global community of innovators and thought leaders in the decentralized space.
- Make a significant impact on how data is accessed and utilized worldwide, promoting transparency, efficiency, and democratization.
- Enjoy a dynamic, challenging, and rewarding work environment, along with competitive compensation and benefits.
How to Apply: Interested candidates should submit a resume and a cover letter detailing their passion for decentralized technologies and their vision for Xnode's future.
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.