| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
OP3N | Los Angeles, CA, United States | $21k - $64k | |||
Kraken Digital Asset Exchange | Remote | $36k - $70k | |||
Kraken Digital Asset Exchange | Remote | $63k - $120k | |||
FalconX | Remote | $105k - $108k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Magic Eden | San Francisco, CA, United States | $180k - $220k | |||
Hologram Labs | New York, NY, United States | $122k - $156k | |||
Kraken Digital Asset Exchange | Remote | $63k - $75k | |||
Heretic | San Francisco, CA, United States | $87k - $120k | |||
Heretic | San Francisco, CA, United States | $87k - $120k | |||
Heretic | San Francisco, CA, United States | $96k - $120k | |||
Heretic | San Francisco, CA, United States | $84k - $120k | |||
ZAUBAR | remote | $63k - $75k | |||
Ripple | Toronto, Canada | $54k - $60k | |||
Genies, Inc. | remote | $175k - $260k | |||
DApp360 Workforce | United States | $105k - $108k |
About OP3N
OP3N imagines a world where every human can create, own, and connect their ideas to community. Our mission is to be a launchpad for ideas and communities to create meaningful experiences together by consolidating the tools needed to mint, share and engage with NFTs and digital tokens into one vertical stack.
OP3N leverages its cross-industry expertise from the entertainment, gaming and tech ecosystems to lay the foundations for a new era of community-driven, inclusive entertainment while bringing everyone together on a journey into Web3.
Machine Learning Engineer Intern - Remote
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 model prototypes which help building 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
- 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 and technology
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.