Machine Learning Engineer

Overview

In this role you will design, build, and maintain large-scale ML systems that price millions of opportunities per second in real-time. You will work with cross-functional teams to improve ML models and production pipelines, aiming to maximize advertiser outcomes. The role blends research and engineering, applying NLP, clustering, and LLMs to multi-language topics for targeted advertising. You’ll contribute to a high-velocity environment where scale and reliability are crucial, with mentorship from senior scientists and engineers.

Pay / Benefits

• competitive salary
• performance bonus
• equity
• comprehensive benefits package

Responsibilities

• Design, code, test, and debug ML applications for high-throughput systems
• Run ML experiments to validate modeling ideas
• Collaborate with senior scientists and engineers to iterate on models and practices
• Write clean, maintainable code and participate in code reviews
• Identify performance bottlenecks and optimize components for scalability
• Stay updated with ML developments and apply them to production

Key requirements

• 0-2 years of experience in ML or applied statistics (including internships or significant academic projects)
• Degree in Computer Science, Mathematics, Software Engineering, or adjacent field
• Fluency in Python or Java (or similar languages)
• Strong foundation in probability, statistics, and hypothesis testing
• Practical understanding of ML fundamentals (classification, regression, clustering, NLP/LLMs)
• Familiarity with data processing libraries (Pandas, NumPy) and ML frameworks (PyTorch, Scikit-learn, XGBoost)
• Interest in distributed systems, concurrent algorithms, data structures, and software engineering

• collaboration
• analytical rigor
• growth mindset
• Python
• Java
• Pandas

…