Tech Stack

Description

You will join the AI Platform Team to build and deploy scalable ML models that help marketers optimize ad creatives and campaign performance. You'll own projects end-to-end, analyze large-scale datasets, and collaborate with engineers and stakeholders to deliver high-impact AI solutions for advertising experiences.

Requirements

• 5+ years experience in data science or applied machine learning.
• 2+ years experience with cloud infrastructure such as AWS or GCP.
• Strong foundation in linear algebra, statistics, and calculus.
• Fluent in Python; experience with C++ or Java is a plus.
• Hands-on experience with modern ML frameworks e.g., PyTorch or TensorFlow.

Responsibilities

• Implement, build, and deploy scalable ML models focused on maintainability, observability, scalability, and stability.
• Own projects end-to-end: from problem framing to data exploration, modeling, validation, and monitoring in production.
• Work with diverse datasets including image, video, audio, text, and structured performance data.
• Analyze large-scale datasets to uncover insights that inform product strategy and customer outcomes.
• Collaborate with data scientists, ML engineers, and software engineers to productionize AI/ML applications.