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