Senior Machine Learning Engineer at Aave
Senior Machine Learning Engineer at Aave

Senior Machine Learning Engineer at Aave

DAO
Job Category
Engineering Data
Commitment
Full-time
Location
London

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.

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.

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.

AccountabilityOne for all. All for one.

IntegrityBe true.

Sisu — Dig deep.

CommunityWe’re in it together.

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