Machine Learning Jobs in Web3
207 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Singapore, Singapore |
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Blowfish | remote | $72k - $100k | |||
OpenZeppelin | Remote | $72k - $80k | |||
Ripple | San Francisco, CA, United States | $174k - $175k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Aldrin | Remote | $90k - $100k | |||
NOYA Network | Remote |
| |||
Gauntlet | United States | $150k - $180k | |||
Ionicpartners | United States | $81k - $100k | |||
OpenZeppelin | United States | $63k - $90k | |||
Storm2 | San Francisco, CA, United States | $150k - $200k | |||
Gauntlet | New York, NY, United States |
| |||
TRM Labs | Remote | $98k - $156k | |||
Yakoa | San Jose, CA, United States | $98k - $156k | |||
Gauntlet | New York, NY, United States | $60k - $90k | |||
Supermind | Bengaluru, India | $50k - $86k |
This job is closed
Binance Accelerator Program - SRE Engineer (Machine Learning Operations)
Responsibilities
- Work as part of the SRE team to be responsible for the development of big data ops platform, middleware services, and tools.
- Participate in the improvement of big data infrastructure and platforms, such as Hadoop, Spark, and airflow.
- Solve cluster availability and performance optimization problems in large-scale production environments.
- Perform analysis, communication, confirmation, and realization of the underlying business requirements of big data projects.
Requirements
- Must be currently enrolled in an undergraduate, master's, or Ph.D. program, ideally in Computer Science or Engineering-related.
- Experienced in one or more languages (Java, Scala, Python, Go), excellent coding ability, willing to learn and try new technologies and tools quickly.
- Obtained experience in open-source frameworks such as Spring, and MyBatis, or big data components such as Hadoop, Spark, and Kafka.
- Fundamental understanding of distributed, cache, message, and other mechanisms.
- Solid computer foundation, enthusiasm for technology, and willingness to constantly try new technologies and business challenges.
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.