Senior Staff Machine Learning Engineer

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Company Overview

A leading global technology and delivery platform is expanding its Ads & Promos Delivery organization, which powers the last-mile delivery of advertising and promotional products. The team connects merchant intent with consumer demand across search and discovery experiences while building advanced AI-driven systems that improve relevance, personalization, and marketplace performance.

Key Responsibilities

• Apply state-of-the-art machine learning and LLM techniques to personalization, query understanding, user understanding, and content understanding.
• Design and develop large-scale ranking and relevance systems for AI-first advertising experiences.
• Rigorously evaluate machine learning and LLM models through offline analysis and online experimentation.
• Develop metrics and experiments that clearly measure quality, business impact, and system tradeoffs.
• Own the complete machine learning model lifecycle, including data analysis, model development, evaluation, offline and online A/B testing, deployment, monitoring, and continuous improvement.
• Partner closely with product managers, data scientists, designers, engineers, analytics teams, and operations to deliver meaningful user-facing improvements.
• Translate emerging machine learning and AI research into scalable, production-ready systems.
• Build and improve machine learning systems that directly influence business performance and financial outcomes.
• Move models efficiently from research and prototyping into production environments.
• Establish technical direction and promote cross-team alignment around AI and machine learning initiatives.
• Solve complex real-world optimization problems by combining economic intuition, large-scale machine learning, and applied engineering.
• Help shape the future of a rapidly growing advertising platform through advanced AI and machine learning technologies.

Required Qualifications

• 5+ years of experience building, deploying, and scaling machine learning and AI models for large-scale, user-facing, or data-intensive products.
• Proficiency in using AI coding tools such as Claude Code, Codex, or Cursor throughout the software development lifecycle, including software design, code generation, testing, monitoring, and release.
• Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Deep expertise in one or more areas including deep learning, large language models, information retrieval, ranking and relevance, recommendation systems, natural language processing, or content understanding.
• Strong programming skills in Python, Java, or C++.
• Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or XGBoost.
• Extensive experience across the full machine learning lifecycle, including data analysis, feature engineering, iterative model development, offline and online evaluation, monitoring, and continuous improvement.
• Strong communication and collaboration skills with the ability to work effectively in fast-paced, cross-functional environments.
• Product-minded and impact-driven approach to applying advanced machine learning and AI techniques to real-world problems.

Preferred Qualifications

• Experience designing and deploying LLM-based systems, including prompt engineering and retrieval-augmented generation (RAG) architectures.
• Experience with Generative Recommendation Systems (Generative RecSys).
• Experience solving large-scale personalization problems involving user modeling, retrieval, ranking, and relevance.
• Experience working on content-centric personalization and understanding systems.
• Contributions to the machine learning community through open-source projects, technical publications, or applied research.
• Research or practical experience in machine learning, natural language processing, information retrieval, or related fields.

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