Staff Machine Learning Engineer – Applied AI

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Company Overview

A leading global technology and transportation platform is advancing AI solutions across its Mobility and Delivery businesses. Its Applied AI team collaborates closely with product, engineering, and data science teams to identify important business challenges and develop end-to-end AI solutions at global scale.

The team works across several areas of artificial intelligence, including Personalization, Generative AI, Computer Vision, ML Optimization, and Geospatial AI. Its work supports experiences used by millions of customers to discover transportation options, restaurants, grocery items, and retail products.

About the Role

The organization is seeking a Staff Machine Learning Engineer (IC6) to define and lead the foundation model strategy powering AI-native discovery experiences across Mobility and Delivery.

This position goes beyond individual model development and involves shaping technical direction across multiple teams, influencing product strategy, and delivering measurable impact at global scale. The successful candidate will provide technical leadership across Search, Recommendations, and Conversational AI while helping establish the long-term direction for foundation model development and deployment.

Key Responsibilities

• Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI.
• Drive architecture decisions that influence multiple product surfaces, including Eats, Grocery, Retail, and Mobility.
• Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants.
• Define long-term investment strategies, including decisions around building, fine-tuning, or partnering with external foundation models.
• Mentor senior engineers and serve as a technical multiplier across the organization.
• Establish technical direction for large-scale machine learning systems and AI-native discovery experiences.
• Connect improvements in machine learning models with measurable product and business outcomes.
• Collaborate with engineering, product, and data science teams to deliver AI solutions from concept through production.

Required Qualifications

• Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
• 8+ years of machine learning experience, including significant experience developing large-scale deep learning systems.
• Demonstrated ownership of high-impact machine learning systems in search, recommendations, conversational AI, or related areas.
• Deep expertise in transformers, retrieval systems, ranking, and embedding architectures.
• Strong experience with PyTorch and distributed training.
• Proven ability to influence technical direction across multiple teams.
• Strong product intuition and the ability to connect model improvements to business outcomes.

Preferred Qualifications

• Experience leading multi-team machine learning initiatives.
• Experience defining long-term technical roadmaps that are adopted across multiple organizations or teams.
• Demonstrated ability to elevate engineering standards through mentorship and technical leadership.
• Experience driving large-scale AI initiatives from strategy through production implementation.

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