Senior Machine Learning Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-Time
• Salary: Not specified
• About Flip.shop: Welcome to Flip.shop, where innovation meets social commerce revolution! Fresh off our Series C funding round, we've raised $144 million, propelling our valuation to an impressive $1.05 billion. We’re redefining the shopping experience by giving consumers a voice in a space dominated by tech giants. Join us on this exhilarating journey where your ideas will shape the future of social commerce!

This is a transformative role, with an opportunity to lead innovative AI applications in social commerce.

Responsibilities

• Algorithm Development: Design, develop, and optimize machine learning algorithms for our feed and shopping recommendation systems.
• Data Analysis: Analyze large datasets to extract meaningful insights and improve model performance.
• Model Deployment: Deploy and monitor machine learning models in a production environment, ensuring their scalability and reliability.
• Collaboration: Work closely with cross-functional teams, including product, engineering, and marketing, to integrate AI solutions seamlessly into our platform.
• Innovation: Stay up-to-date with the latest advancements in AI and machine learning, applying new techniques to enhance our recommendation systems.
• Problem Solving: Address complex challenges related to recommendation algorithms, user engagement, and monetization strategies.

Requirements

• Experience: 5+ years of experience working on AI applications, ideally working on social networking or e-commerce platforms.
• Technical Skills:
  • Strong proficiency in machine learning algorithms.
  • Data analysis skills.
  • Programming languages: Python, TensorFlow, and PyTorch.
• Domain Expertise: Experience developing recommendation systems for feeds and/or ads ranking, with a focus on user engagement and monetization.
• Analytical Mindset: Ability to analyze and interpret complex data, and use insights to drive AI innovation.
• Team Player: Excellent collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
• Communication: Strong verbal and written communication skills, with the ability to convey complex AI concepts to non-technical stakeholders.
• Passion: A genuine passion for leveraging AI to enhance user experiences and drive business growth in a dynamic startup environment.

Application Instructions

• Interested candidates should apply by submitting their resume and cover letter.