Senior Machine Learning Engineer

Summary

Join a dynamic team as a Senior Machine Learning Engineer, designing and building scalable machine learning systems for an AI-native ad platform.

Requirements

• Proven experience in machine learning, with expertise in deep learning architectures and frameworks like PyTorch or TensorFlow
• Strong proficiency in NLP (Natural Language Processing) and large language models (LLMs), including experience building and optimizing embedding models
• Hands-on experience with Python and related ML libraries
• Knowledge of backend systems, including API development, database optimization, and high-concurrency environment management
• Experience in ads systems, including familiarity with bidding, auction algorithms, and optimizing ad performance metrics
• Experience with cloud platforms (GCP, AWS) and distributed computing technologies is a plus
• Strong problem-solving skills, ability to iterate quickly, and eagerness to experiment with innovative solutions
• Self-starter mindset with the ability to work independently in a remote, fast-paced startup environment

Responsibilities

• Develop, train, and deploy machine learning models that drive ad recommendations and bidding systems within our AI-native advertising platform
• Build and optimize NLP pipelines to interpret user intent, enabling real-time product recommendations and personalized ads
• Design and scale the machine learning infrastructure to support large-scale, AI-driven ad systems, ensuring low latency and high reliability
• Explore and implement new ML algorithms and techniques to continuously improve system performance and scalability
• Collaborate closely with cross-functional teams, including backend engineers and product managers, to align business objectives with technical solutions