Staff Machine Learning Engineer

Responsibilities

• Design, develop, and train advanced machine learning models, including deep neural networks, transformer-based architectures, and reinforcement learning systems, to power large-scale online advertising ranking and optimization platforms.
• Lead the development and optimization of complex feature representations, including high-dimensional embeddings, contextual and temporal signals, and cross-session user behavior modeling.
• Drive end-to-end model lifecycle execution, including system architecture design, large-scale experimentation, model deployment, performance monitoring, and iterative infrastructure improvements in production environments.
• Collaborate closely with product, data, and infrastructure engineering teams to translate business objectives into scalable, statistically rigorous modeling solutions.
• Conduct advanced experiment design and causal analysis to evaluate model impact and inform strategic decisions.
• Provide technical leadership and mentorship to machine learning engineers and contribute to organization-wide modeling standards, best practices, and long-term technical strategy.
• Shape the long-term modeling vision across multiple advertising domains, including conversion optimization, application advertising, shopping, and brand advertising.

Requirements

• Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline.
• 3 years of experience in the job offered or related occupation.
• Python, Java, and Scala.
• C++, Go, or Rust.
• Major machine learning frameworks and libraries.
• Applied statistics, hypothesis testing and experiment design for online machine learning systems.
• Large-scale data processing and analytics frameworks.
• Deployment and operation of production systems in containerized and distributed environments.
• Designing and training advanced models, including deep neural networks, transformer-based architectures, and reinforcement learning models.
• Marketplace dynamics, such as real-time bidding (RTB) or pacing control systems.
• Developing and optimizing online advertising systems, including ad ranking, targeting, and marketplace.
• Providing technical leadership, mentorship, or guidance to other machine learning engineers.

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave