Staff Machine Learning Engineer

What you'll do

• Lead multiple technical sub-areas within Growth content science and define technical roadmaps.
• Drive ML model improvements through an A/B test driven innovation loop from ideation to production.
• Own the health of the ML ecosystem including training pipelines, feature infrastructure, and monitoring.
• Build and ship complex models for real-time, high-QPS, and latency-constrained recommender systems.
• Identify and apply state-of-the-art techniques from recent research to production systems.
• Raise the technical excellence bar through mentorship, code reviews, and setting engineering standards.
• Optimize work processes by building and using cutting-edge AI tools.

What we're looking for

• Graduate degree in Computer Science or a related field.
• Minimum of 8 years of experience in machine learning engineering.
• Experience building and shipping models for large-scale, real-time, end-user production recommender systems.
• Expertise in recommender modeling, including transformer architectures, DNN rankers, and generative or LLM-native recommenders.
• Experience building and operating high-QPS, latency-constrained ML systems and infrastructure.
• Experience in industry-grade software engineering and conducting thorough code and design reviews.
• Experience in leading technical work across teams and mentoring junior engineers.
• Strong track record of publications and patents (preferred).