Machine Learning Jobs in Web3
258 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
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 | |||
| 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 | $36k - $70k | |||
Kraken Digital Asset Exchange | Remote | $63k - $120k | |||
FalconX | Remote | $105k - $108k | |||
Magic Eden | San Francisco, CA, United States | $180k - $220k | |||
Hologram Labs | New York, NY, United States | $122k - $156k | |||
Kraken Digital Asset Exchange | Remote | $63k - $75k | |||
Heretic | San Francisco, CA, United States | $87k - $120k | |||
Heretic | San Francisco, CA, United States | $87k - $120k | |||
Heretic | San Francisco, CA, United States | $96k - $120k | |||
Heretic | San Francisco, CA, United States | $84k - $120k | |||
ZAUBAR | remote | $63k - $75k |
This job is closed
At AuditOne we empower talented auditors to secure smart contracts through decentralised audit pools.
AuditOne is an all-in-one audit platform for smart contract audits and verifications including an auditor hub, decentralized audit pools, self-service audit tools, bug bounty programs and insurance pools in the future. Our goal is to make Web3 secure for all of its users.
Unleash your potential at AuditOne GmbH! We're at the forefront of cybersecurity, working to solve real-world challenges with AI. We are seeking a dynamic AI/ML Developer who thrives in an innovative environment and is passionate about making a genuine impact. Join us, and work on groundbreaking projects, refine our ML models, and contribute to the next big breakthrough in our industry.
Tasks
- Security Analysis Tools for Code: The role involves developing state-of-the-art machine learning models tailored for analyzing smart contract code. Leveraging techniques in Natural Language Processing (NLP) and Graph Neural Networks, the aim is to build tools that can identify vulnerabilities in smart contracts. This is a critical task as it directly contributes to the primary goal of AuditOne—making Web3 secure for all users.
- Virtual Assistant for Web3 Security Auditors: This assistant will assist web3 security auditors by automating repetitive tasks and offering POC for issues. The use of Ensemble learning techniques and NLP will be vital in making the virtual assistant robust and versatile.
Requirements
- Profound knowledge in Natural Language Processing (NLP), Ensemble learning techniques, and Graph Neural Networks with an emphasis on building ML models specifically for code.
- Strong proficiency in Python programming, complemented by experience with Flask, MongoDB, and API development.
- Solid understanding and hands-on experience with CI/CD pipelines and Git for streamlined development and deployment processes.
- A foundational grasp of web3 technologies and their applications.
Education:
- Bachelor/Master in the area of computers, AI, ML or related areas
- Part-time doctoral candidates in AI & ML area are preferable
Benefits
- Competitive Salary: We offer a top-tier compensation package to reward your expertise.
- Innovative Projects: Work on projects that redefine boundaries and make tangible differences.
- Work-Life Balance: Enjoy flexible hours, remote work and an engaging work culture.
- Team Events: Regular team outings, tech talks, hackathons, and more!
Ready to jump in? We’re looking to onboard our newest AI/ML Developer by November 1st, 2023. Apply now and let's build the future together!
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.