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.
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:
Let’s connect if:
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:
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.
You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.
Submit Resume & Apply