Machine Learning Jobs in Web3

239 jobs found

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Job Position Company Posted Location Salary Tags

Senior Machine Learning Engineer

Aave Companies

London, United Kingdom

$90k - $110k

Senior Software Engineer Algorithm and Machine Learning Abnormal Detection

Binance

Asia

Principal Machine Learning Engineer NLP

Binance

Asia

Machine learning Engineer Risk management

Binance

Asia

Engineering Manager Machine Learning

Binance

Asia

Senior Machine Learning Engineer Anomaly Detection

Binance

Canada

Senior Data Scientist ML

Binance

Dubai, United Arab Emirates

ML developer in zeroknowledge proofs Remote

NIL (CYPRUS) LTD

Lima, Peru

$74k - $100k

AI Machine Learning Research Engineer

Heretic

San Francisco, CA, United States

$121k - $165k

Machine Learning Engineer

Upshot

Remote

$72k - $100k

Senior Product Manager AI ML Data

Paradigm

remote

$90k - $106k

Machine Learning Engineer

Gauntlet Networks

Remote

$150k - $180k

Head of Software Architecture AI ML

Blockchains

Remote

$54k - $60k

ML Entrepreneurship Internship remote

Detof

Switzerland

$18k - $118k

Data Science and Machine Learning Intern

CoinFlip

Chicago, IL, United States

$22k - $62k

Senior Machine Learning Engineer

Aave Companies
$90k - $110k estimated

This job is closed

Senior Machine Learning Engineer

London, England /
Engineering /
Full-time
/ Remote

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About us: 

The Aave Companies are a group of software development companies that build open-source, blockchain-based software for the Web3 world. With a mission to reinvent our modern paradigms in the realm of finance, social media and beyond, we are focused on building revolutionary products and protocols that will reinvent the ways we communicate, our financial systems, and our cultural norms. United with one clear goal, the Aave Companies are determined to build a future for users that provide them with better control over their finances, data and social experiences.

Our culture: 

Having cultivated a thriving, collaborative culture, our team is kind, welcoming and passionate about what we are building. We celebrate differences and seek to develop and retain the most talented people from a diverse candidate pool from all over the world. No matter where you are based, no ghost will be left behind and we appreciate every moment we get to work and have fun together.

About the role:

As a Senior Machine Learning Engineer, you will be responsible for designing, implementing, and improving personalized recommendation algorithms for the Lens API. Your work will help users discover valuable connections and content, driving user engagement and satisfaction.

Assuming you have eligible working rights and a minimum of 5 +/- hours overlap with your team, you can choose to work remotely or from our London office. 

How you can make an impact:

    • Design, implement, and improve machine learning algorithms for personalized recommendations
    • Collaborate with cross-functional teams to understand their needs and translate them into data-driven solutions
    • Monitor and maintain the performance of machine learning models and systems
    • Lead the development and deployment of scalable machine learning solutions in production
    • Advocate for and implement best practices in machine learning and data science
    • Keep up-to-date with the latest technology trends in machine learning and recommendations

Let's connect if:

    • Significant experience as a Machine Learning Engineer, Data Scientist, or similar role, particularly in the social networking or e-commerce space
    • Proficient in Python and experience with common machine learning frameworks
    • You're passionate about using machine learning to create personalized and impactful user experiences
    • You have a proven track record of designing, building, and deploying recommendation systems
    • You enjoy working in a fast-paced, innovative environment, and are excited by the opportunity to shape the future of social networking
    • You believe in the power of blockchain technology and want to make a significant contribution to its real-world application
Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!

What we stand for:

Craft — Seek excellence.
Accountability — One for all. All for one.
Integrity — Be true.
Sisu — Dig deep.
Community — We’re in it together.

Equal opportunities statement: 

The Aave Companies celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at the Aave Companies. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.
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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.