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
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.
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