Remote Machine Learning Engineer

Description:

• Flip.shop is seeking a Machine Learning Engineer to design and optimize machine learning models for personalized recommendation systems.
• The role involves tackling complex technical challenges at scale, contributing to the AI behind Flip.shop's growth.
• Responsibilities include designing, developing, and optimizing machine learning algorithms for feed and shopping recommendation systems.
• The engineer will analyze large datasets to extract insights and improve model performance.
• They will deploy and monitor machine learning models in a production environment, ensuring scalability and reliability.
• Collaboration with cross-functional teams, including product, engineering, and marketing, is essential to integrate AI solutions into the platform.
• The engineer is expected to stay updated with advancements in AI and machine learning, applying new techniques to enhance recommendation systems.
• Problem-solving related to recommendation algorithms, user engagement, and monetization strategies is a key part of the role.

Requirements:

• Candidates must have in-depth experience working on AI applications, preferably in social networking or e-commerce platforms.
• Strong proficiency in machine learning algorithms, data analysis, and programming languages such as Python, TensorFlow, and PyTorch is required.
• Experience in developing recommendation systems for feeds and/or ads ranking, focusing on user engagement and monetization, is essential.
• An analytical mindset is necessary to analyze and interpret complex data and drive AI innovation.
• Excellent collaboration skills are required to work effectively in a fast-paced, team-oriented environment.
• Strong verbal and written communication skills are needed to convey complex AI concepts to non-technical stakeholders.
• A genuine passion for leveraging AI to enhance user experiences and drive business growth in a dynamic startup environment is important.

Benefits:

• The compensation package includes a base salary that varies based on location, experience, and performance.
• Total compensation may also include equity, bonuses, long-term incentives, and a PTO policy.
• Employees will have the opportunity to work on cutting-edge AI & ML systems that power personalized shopping experiences for millions of users.
• The role offers a chance to have a lasting impact and help shape the future of social commerce at Flip.shop.