| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
NIL (CYPRUS) LTD | Lima, Peru | $74k - $100k | |||
Heretic | San Francisco, CA, United States | $121k - $165k | |||
Upshot | Remote | $72k - $100k | |||
Paradigm | remote | $90k - $106k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Gauntlet Networks | Remote | $150k - $180k | |||
Blockchains | Remote | $54k - $60k | |||
Detof | Switzerland | $18k - $118k | |||
CoinFlip | Chicago, IL, United States | $22k - $62k | |||
Gemini | Gurgaon, India | $81k - $100k | |||
Gemini | Gurgaon, India | $63k - $100k | |||
Binance | Singapore, Singapore |
| |||
Blowfish | remote | $72k - $100k | |||
OpenZeppelin | Remote | $72k - $80k | |||
Ripple | San Francisco, CA, United States | $174k - $175k | |||
Aldrin | Remote | $90k - $100k |
Responsibilities:
- Conducting a large amount of theoretical research
- Collaborating with the development team to refine our products for integration with machine learning
- Investigating the potential implementation of machine learning in our products
- Working closely with the Crypto Research team
- Having a strong understanding of the mathematics, in particular finite fields
- 2-3 years of C++ experience is required
- Knowledge of cryptographic algorithms and primitives is a benefit
- Having a strong understanding of the mathematics, in particular finite fields
- Strong interest in development in ML, especially in the applications of machine learning in cryptography
- The language is English, so you’re supposed to be at least B2 level
- We pay well
- "No corporate bullshit" culture
- You are free to work remotely from the location of your choice, or in our office in Limassol
- We provide health insurance and pay for your hardware setup
- If you need it, we help with relocation
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.