About us:
Avara builds innovative products leveraging blockchain technologies. Avara's suite includes the Aave Protocol, along with the native stablecoin GHO, Lens, an open social network, and Family, a design-first mobile crypto wallet. Avara's vision is to build a people-powered internet that benefits all.
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 at Avara, you will lead the design, implementation, and enhancement of personalised machine learning algorithms tailored to the Lens API. Your expertise will be pivotal in helping users discover meaningful content and connections, significantly boosting user engagement and satisfaction across the platform
How you can make an impact:
- Develop and refine the ML algorithms to enhance the user engagement on the protocol
- 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
- Oversee the end-to-end process of deploying machine learning models into production environments, ensuring they are scalable and performant
- Advocate for and implement best practices in machine learning and data science
- Engage with the wider Lens community to gather insights and feedback on machine learning features
- Stay updated with the latest developments in machine learning and decentralised technologies
Let's connect if:
- Minimum of 5 years in roles such as Machine Learning Engineer or Data Scientist, with a strong preference for experience in social networking or e-commerce
- Advanced proficiency in Python, with extensive experience in ML frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras
- Solid grasp of various machine learning techniques and their foundational principles
- Demonstrated experience in designing, building, and deploying scalable machine learning systems in a production environment
- Thrive in a dynamic, fast-paced environment and are driven by the opportunity to innovate and shape the future of decentralised social networking
- Strong belief in blockchain technology with a passion to contribute meaningfully to its practical application in the real world
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!
Equal opportunity statement:
Avara celebrates diversity and view each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, (dis)ability, sexual orientation or even the wallet you use, we welcome you at Avara.
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.
