Senior Machine Learning Engineer

Position Type: Full Time
Location: Remote 
Salary Range / Rate (Currency): $130,000 - $180,000 per year
Job ID#: #148181

Company Overview
Backed by top-tier investors, including a16z, and are building the monetization layer for the next generation of Generative AI traffic. Our mission is to create a real-time information layer for the GenAI age, where AI-native content takes center stage and drives consumer engagement. If you're passionate about cutting-edge technologies and building scalable systems, this is the perfect opportunity for you.

Role Overview
As a Senior Machine Learning Engineer, you will play a crucial role in designing and building scalable machine learning systems that power our AI-native ad platform. You will collaborate closely with the engineering team to develop and optimize ML models and pipelines, integrating them into a low-latency, high-throughput backend system.

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.
• Utilize cloud platforms (GCP, AWS) and distributed computing technologies to manage and scale machine learning models.

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.
• Mandarin or experience working with international teams is a plus but not required.