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.

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.