Machine Learning Jobs in Web3
241 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
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OP3N WORLD | Los Angeles, CA, United States | $21k - $64k | |||
OKX | San Jose, CA, United States | $196k - $280k | |||
Openmesh Network | New York, NY, United States | $91k - $115k | |||
Sec3 | Remote | $72k - $115k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Openmesh | Sydney, Australia | $90k - $150k | |||
OKX | Singapore, Singapore | $91k - $105k | |||
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 |
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Numus | Remote | $63k - $70k | |||
CERE NETWORK | Remote |
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AuditOne | Remote | $112k - $156k | |||
Cere Network | Europe |
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This job is closed
We are seeking a highly motivated and enthusiastic Machine Learning Engineer Intern to join our team. As an Intern, you will work closely with our Product and Engineering teams to research, implement, train and evaluate innovative machine learning models to build our next generation, AI powered Games and Spaces.
Key Responsibilities:
- Conduct research and analysis on various machine learning techniques and algorithms
- Evaluate, Build and test prototypes of machine learning models
- Collect and analyze data to improve model accuracy and performance
- Write and maintain code for machine learning models and experiments
- Collaborate closely with Product and Engineering teams to seek feedback.
- Participate in team meetings and provide regular progress updates
- Keep up-to-date with the latest research and developments in machine learning
Requirements:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
- Strong programming skills in Python and experience with machine learning libraries such as TensorFlow.
- Knowledge of machine learning algorithms such as neural networks, decision trees etc.
- Excellent problem-solving skills and attention to detail
- Ability to work independently and as part of a team
- Have a Start-up mindset - ability to deal with ambiguity and work with minimal supervision.
Benefits:
- Gain hands-on experience in cutting-edge machine learning research and development
- Develop your technical and problem-solving skills
- Opportunity to work on real-world projects and contribute to cutting-edge research
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.