Machine Learning Jobs in Web3

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Job Position Company Posted Location Salary Tags

Next Big Thing AG

Berlin, Germany

Figure

San Francisco, CA, United States

$98k - $156k

Next Big Thing

Berlin, Germany

Hivemapper

San Francisco, CA, United States

$72k - $100k

Hivemapper

Remote

$72k - $100k

Next Big Thing AG

Berlin, Germany

Next Big Thing AG

Berlin, Germany

Figure

San Francisco, CA, United States

$98k - $108k

Next Big Thing AG

Berlin, Germany

Next Big Thing AG

Berlin, Germany

Constellation Network

Remote

$98k - $156k

Metrika Inc.

Athens, Greece

$45k - $100k

Gemini

New York, NY, United States

$45k - $100k

Worldcoin.org

remote

$98k - $156k

Ripple

San Francisco, CA, United States

$30k - $70k

Founder Entrepreneur Machine Learning f m x

Next Big Thing AG

This job is closed

Job description

Are you an entrepreneur that has a technical background in machine learning? Then start a company with us and become your own CEO!

Who we are:

Founded in 2016 in Berlin, Next Big Thing AG (NBT) is a venture studio for the Machine Economy that co-founds deep-tech ventures with aspiring founders and corporates to deliver real-world impact. With a diverse portfolio of IoT, AI, and DLT projects, NBT provides long-term support for B2B companies including the full scope of development toolkits, innovation strategies, mentorship to entrepreneurs and startups, engineering know-how, and smart financing.

Responsibilities:

As Co-Founder and Managing Director (m/f/x) in the field of Machine Learning, IoT, or Blockchain, you will gain access to capital and be supported by a team of 50+ developers, engineers, marketers, product managers, investment managers, and strategists to help you succeed until you have set up a team of your own. As part of your responsibilities alongside the support of NBT, you will:

  • Develop a product and business strategy

  • Manage and be responsible for budgets and finances

  • Build your own team

  • Guide the development of the product

  • Work closely with NBT’s C-level management team

If you answer ‘yes’ to most of the below questions, please get in touch with us asap:

  • Do you have a business idea using mashine learning with a strong focus on B2B?

  • Are you an entrepreneur/founder and can you back this up with a previous track record?

  • Do you have 5+ years of professional experience?

  • Are you fluent in English?

Requirements

Why you should choose NBT as your co-founder on this journey:

  • We completely de-risk the founding journey for you. You receive an industry-level salary right from the start of the EiR program and incur no financial risk of your own.

  • You have access to our 50+ team consisting of engineers, marketers, financial experts, venture developers, and more.

  • You will have open access to our amazing office buzzing with energy where you can meet our staff and other founders.

  • We are the top venture studio in the Machine Economy and have leading specialists in the development of IoT, ML, and DLT startups.

  • You get to benefit from access to our partner network which highly increases your startup’s time to market and boosts your chances of success.

We value diversity and therefore expressly welcome all applications - regardless of gender, nationality, ethnic and social origin, religion/belief, physical abilities, age, sexual orientation, and identity.

We look forward to receiving your application.

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.