Machine Learning Jobs in Web3

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Job Position Company Posted Location Salary Tags

OP3N WORLD

Los Angeles, CA, United States

$21k - $64k

OKX

San Jose, CA, United States

$196k - $280k

Openmesh Network

New York, NY, United States

$91k - $115k

Sec3

Remote

$72k - $115k

Openmesh

Sydney, Australia

$90k - $150k

OKX

Singapore, Singapore

$91k - $105k

Kraken Digital Asset Exchange

Remote

$135k - $203k

Ripple

Toronto, Canada

$94k - $96k

Strike

Remote

$165k - $180k

Heretic

San Francisco, CA, United States

$97k - $150k

FLock.io

Remote

Numus

Remote

$63k - $70k

CERE NETWORK

Remote

AuditOne

Remote

$112k - $156k

Cere Network

Europe

Machine Learning Engineer Intern Remote

OP3N WORLD
$21k - $64k estimated

This job is closed

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 models to build 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
  • Write and maintain code for machine learning models and experiments
  • 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

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.