Flip
Los Angeles
51-200 employees
Flip is your go-to social shopping app for discovering and shopping.
Prior Listings
Other Jobs in ML Engineering
Machine Learning Engineer
Machine Learning Engineer
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!
Why Join Us?
At Flip.shop, you’ll be at the forefront of innovation in social commerce. This isn’t just a job—it's a chance to make history and redefine the online shopping experience. If you thrive in a fast-paced, collaborative environment where your ideas can change the game, we want to hear from you!
Role Overview:
We are seeking a Machine Learning Engineer to design and optimize machine learning models that power our personalized recommendation systems, driving consumer engagement and monetization. You’ll tackle complex technical challenges at scale, shaping the AI behind Flip.shop's growth. 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: In depth experience working on AI applications, ideally working on social networking or e-commerce platforms.
- Technical Skills: Strong proficiency in machine learning algorithms, data analysis, and programming languages such as 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.
Why You’ll Love Working Here:
At Flip.shop, you’ll have the opportunity to build the backbone of our AI-driven platform, working on cutting-edge AI & ML systems that power personalized shopping experiences for millions of users. Your work will directly contribute to build and improve our machine learning systems, ensuring they run efficiently in a high-performance production environment. This is your chance to have a lasting impact and help Flip.shop shape the future of social commerce.
Ready to Build the Future?
If you're passionate about building scalable infrastructure and driving innovation in machine learning at scale, join us at Flip.shop! Let’s redefine the future of online shopping together.
Compensation & Benefits:
Base salary and total compensation will vary based on factors including but not limited to location, experience, and performance. Please note the base salary is just one component of the company’s total rewards package for exempt employees. Other rewards may include equity, bonuses, long term incentives, a PTO policy, and other progressive benefits.