Machine Learning Engineer
Description For Machine Learning Engineer
Flip.shop is an innovative social commerce platform that recently secured $144 million in Series C funding, achieving a $1.05 billion valuation. The company is revolutionizing the online shopping experience by empowering consumers in a space traditionally dominated by tech giants.
As a Machine Learning Engineer at Flip.shop, you'll be at the forefront of developing and optimizing AI-driven systems that power personalized shopping experiences for millions of users. The role focuses on designing and implementing machine learning algorithms for recommendation systems, working with large datasets, and deploying models in a production environment.
The ideal candidate will bring strong expertise in machine learning algorithms, data analysis, and programming languages like Python, TensorFlow, and PyTorch. Experience with recommendation systems and a track record in social networking or e-commerce platforms is highly valued. You'll work in a fast-paced, collaborative environment where your contributions will directly impact the platform's success.
This position offers the unique opportunity to shape the future of social commerce while working with cutting-edge AI technology. The company provides a competitive compensation package including equity, bonuses, and progressive benefits. Join Flip.shop to be part of a transformative journey in redefining online shopping through innovative AI applications.
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 ML advancements
- Address complex challenges related to recommendation algorithms
Requirements For Machine Learning Engineer
- 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
- 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
- PTO
- Bonuses
- Long term incentives
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