AI & Machine Learning Engineer at new Human-Centered Social Network Startup

This mid-level AI & Machine Learning Engineer role at a human-centered social network startup requires solid foundational knowledge and practical experience in AI and machine learning technologies. Candidates should possess a bachelor's degree, indicating a rigorous educational background in computer science, data science, or a related field. The role demands proficiency in designing, developing, and deploying machine learning models tailored to social network applications, emphasizing user-centric and ethical AI solutions. Key technical skills likely include programming languages such as Python or R, experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn, and familiarity with data preprocessing, feature engineering, and model evaluation techniques. The engineer should be adept at working with large-scale datasets, implementing algorithms that enhance user experience, and ensuring privacy and fairness in AI systems. Given the startup environment, adaptability, problem-solving skills, and the ability to collaborate cross-functionally are essential. The position requires applying AI methodologies to create innovative, socially responsible features that align with the startup's human-centered mission. Overall, the candidate should combine technical expertise in AI/ML with an understanding of social network dynamics and ethical considerations to contribute effectively to the product's development and impact.