| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Spring Labs | Los Angeles, CA, United States | $72k - $100k | |||
Rarible | Moscow, Russia | $81k - $100k | |||
Coinbase | Remote |
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Coinbase | Remote | $98k - $156k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Coinbase | Remote | $98k - $156k | |||
Coinbase | Remote | $72k - $100k | |||
Coinbase | Remote |
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Coinbase |
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Coinbase | $42k - $87k | ||||
Coinbase | $98k - $156k | ||||
Coinbase | $98k - $156k | ||||
Coinbase | $72k - $100k | ||||
Ripple | San Francisco, CA, United States | $98k - $156k | |||
Ripple | San Francisco, CA, United States | $45k - $100k | |||
Worldcoin.org | remote | $98k - $156k |
This job is closed
About Spring Labs: Spring Labs is redefining how data is exchanged for the new age of data sharing, security, and consumer privacy through decentralization. Our Spring Protocol Tech Stack, which includes the use of Blockchain and Cryptography, allows institutions to share information among themselves to verify identities and reduce fraud - all while protecting consumer data.
Working at Spring Labs is about being part of a collaborative team, comprised of some of the most talented people in the industry. You would be welcomed into a fun, inclusive environment where we care as much about our employees as we do about our product.
At Spring Labs, the systems that power our data products are currently built and maintained by our software and infrastructure teams. As the scale and traction of our data science projects grow, we are looking for talented machine learning engineers to take ownership of these systems.
This role will be responsible for the design, maintenance, and deployment of our data pipelines. You will interact closely with the Data Science and Software Engineering teams, as well as Infrastructure Engineers to identify the best solutions for their needs, and ensure our data collection, transformation, and storage efforts are running smoothly and at scale.
Spring Labs is an in-office culture (partial remote work during Covid-19) that fosters a highly creative and collaborative work environment.
If you are motivated by solving real world problems with an extremely talented, accomplished team and want to learn from the top Engineers in the area, we want to hear from you.
Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.