Machine Learning Jobs in Web3
258 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Gauntlet Networks | Remote | $150k - $180k | |||
Blockchains | Remote | $54k - $60k | |||
Detof | Switzerland | $18k - $118k | |||
CoinFlip | Chicago, IL, United States | $22k - $62k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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 | |||
NOYA Network | Remote |
| |||
Gauntlet | United States | $150k - $180k | |||
Ionicpartners | United States | $81k - $100k | |||
OpenZeppelin | United States | $63k - $90k |
This job is closed
Machine Learning Engineer
Responsibilities
- Own end to end creation of ML models to dynamically optimize DeFi protocols
- Contribute to making our core ML infrastructure and platform world-class
- Build data models and visualizations of public blockchain data and modeling results that provide intuitive analytics to our customers to better understand our recommendations and their protocol.
Qualifications
- 3+ years of professional engineering experience
- Proficient at writing code in Python or similar interpreted languages
- Experience with scientific computing packages such as Numpy/Scipy, Jupyter, Pandas, etc.
- Experience deploying and tuning ML models in a production setting
- Strong communication skills and the ability to work collaboratively in a distributed team environment
Bonus Points
- Experience working in the crypto industry is a plus but not required.
- Enthusiasm for the space, especially DeFi, is very much desired
- Smart contract development experience (e.g. Solidity)
- Experience with building machine learning models at scale
- Published or presented research in the space
Benefits and Perks
- Remote first - work from anywhere!
- Regular in-person company retreats and cross-country "office visit" perk
- 100% paid medical, dental and vision premiums for employees
- Laptop, monitor, keyboard and mouse setup provided
- $1,000 WFH stipend upon joining
- $100 per month reimbursement for fitness-related expenses
- Monthly reimbursement for home internet, phone, and cellular data
- Unlimited vacation
- 100% paid parental leave of 12 weeks
- Fertility benefits
- Opportunity for incentive compensation
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.