Head of Machine Learning

Key Responsibilities

• Design and build the next generation production ML system, including training pipelines, feature pipelines, and real-time inference services.
• Work directly in the codebase to prototype models, evaluate approaches, and ship production systems.
• Build and lead the machine learning team, including hiring, mentoring, and establishing engineering culture.
• Partner with engineering to design infrastructure capable of serving millions of low-latency predictions.
• Identify high-impact ML opportunities across bidding, ranking, pacing, fraud detection, and optimization.
• Establish best practices around experimentation, model evaluation, monitoring, and continuous improvement.
• Translate business and product goals into measurable machine learning improvements.

Required Skills / Experience

• 7+ years of experience with a focus on building production machine learning systems.
• Experience taking ML models from research or prototype to production at scale.
• Strong programming background in Python and at least one systems language (C++, Java, Rust, or Go).
• Experience working with large-scale data pipelines and training infrastructure.
• Comfortable operating in early-stage environments where you may be both the architect and the implementer.
• Strong product intuition and ability to prioritize ML work based on business impact.
• Experience scaling ML teams.
• Excellent communication skills and ability to work across engineering, product, and leadership.
• Fluent Mandarin required.

Nice-to-Have

• Experience in advertising technology and real-time systems.
• Experience operating ML infrastructure in on-prem environments using open-source tools including Spark, ClickHouse, AeroSpike, and Prefect.