Machine Learning Engineer

A social commerce platform that has raised $144 million in Series C funding with a $1.05 billion valuation, revolutionizing online shopping through user-driven experiences.
Machine Learning
Mid-Level Software Engineer
Remote
AI · E-Commerce

Description For Machine Learning Engineer

Join Flip.shop, a revolutionary social commerce platform that recently secured $144 million in Series C funding at a $1.05 billion valuation. As a Machine Learning Engineer, you'll be at the forefront of innovation, designing and optimizing ML models for personalized recommendation systems that drive consumer engagement and monetization. This role offers a unique opportunity to shape the future of social commerce through AI applications.

You'll work on cutting-edge AI & ML systems that power personalized shopping experiences for millions of users, developing recommendation algorithms, analyzing large datasets, and deploying models in a production environment. The position requires strong expertise in machine learning, programming languages like Python, TensorFlow, and PyTorch, and experience with recommendation systems.

The ideal candidate combines technical prowess with excellent collaboration skills, as you'll work closely with cross-functional teams including product, engineering, and marketing. Your impact will be direct and significant, helping to build and improve machine learning systems that are central to Flip.shop's success.

The company offers a competitive compensation package including base salary, equity, bonuses, and progressive benefits. This is more than just a job – it's an opportunity to be part of a transformative force in social commerce, working in a fast-paced, collaborative environment where your ideas can truly change the game. If you're passionate about leveraging AI to enhance user experiences and drive business growth in a dynamic startup environment, this role offers the perfect platform to make your mark in the future of online shopping.

Last updated 20 hours ago

Responsibilities For Machine Learning Engineer

  • Design, develop, and optimize machine learning algorithms for feed and shopping recommendation systems
  • Analyze large datasets to extract meaningful insights and improve model performance
  • Deploy and monitor machine learning models in a production environment
  • Work closely with cross-functional teams to integrate AI solutions
  • Stay up-to-date with latest AI and machine learning advancements
  • Address complex challenges related to recommendation algorithms, user engagement, and monetization strategies

Requirements For Machine Learning Engineer

Python
  • 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 (Python, TensorFlow, PyTorch)
  • Experience developing recommendation systems for feeds and/or ads ranking
  • Ability to analyze and interpret complex data
  • Excellent collaboration skills
  • Strong verbal and written communication skills
  • Passion for leveraging AI to enhance user experiences

Benefits For Machine Learning Engineer

Equity
  • Equity
  • Bonuses
  • Long term incentives
  • PTO policy
  • Progressive benefits

Interested in this job?

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