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Develops ML systems for Apple’s search and knowledge platforms (Siri, Apple Intelligence, Safari, iMessage), focusing on query understanding, document retrieval, ranking, and intent-based answers using LLMs and heuristics.
The Opportunity Price is the most important component of an insurance product, with the ability to drive customer delight through lower prices unlocked by state-of-the-art predictive modeling. The Pricing Platform team…
The Staff Machine Learning Engineer will own the real-time fraud detection and decisioning platform, building and maintaining the full ML lifecycle. The role involves scaling infrastructure, ensuring low-latency model serving, and driving technical standards across the engineering team using GCP and modern ML tooling.
You will own the real-time decisioning platform for fraud detection and prevention. You will build feature infrastructure, maintain consistency between training and serving, operate low-latency scoring services, design…
Develops and optimizes ML models for Google Shopping Search Ads to improve ad relevance and user experience, focusing on Gemini models and ad ranking systems.
This role involves building and scaling AI-powered engineering capabilities within a critical payments environment. The Staff Software Engineer will design production-grade GenAI and machine learning solutions, establishing reusable patterns and platforms while ensuring security and reliability in a cloud-native architecture.
Staff Software Engineer building production-grade AI/ML and GenAI solutions within CommBank's Payments Technology AI Centre of Excellence, using Python, AWS, and cloud-native engineering practices.
Leads validation of AMD's HIP runtime, debugging failures, expanding automated tests, and improving CI quality for GPU programming APIs across Linux and Windows.
The Staff ML Engineer will design and deliver production-grade model analysis and optimization tools to simplify AI development on Arm architecture. The role involves working across ML frameworks and hardware to build intuitive developer experiences through web services and desktop applications.
Staff Software Engineer building production-grade AI/ML and GenAI systems within CommBank's Payments Technology, using Python, AWS, and LLM/agent frameworks to deliver scalable, secure AI capabilities across teams.
Staff ML Engineer designing and owning shared AI/ML capabilities—model training pipelines, evaluation frameworks, agent builder frameworks, and ML tooling—for Intuit's finance, accounting, and tax products using Python, LLMs, and cloud platforms.
The Staff Machine Learning Engineer will design and build production-grade agentic AI systems, focusing on multi-agent orchestration, enterprise-grounded reasoning, and safety guardrails. The role involves integrating frontier LLMs into ServiceNow's platform to automate enterprise workflows at scale.
Design and build on-device ML infrastructure, optimizing LLMs (Gemini Nano, Gemma) across GPUs, TPUs, NPUs, and CPUs on Android and Chrome, while coordinating across Android ML, ML Compiler, and DeepMind teams.
Build multimodal embeddings and LLM-based representations for Reddit Ads, using NLP/CV models to power relevance, targeting, and ranking systems.
Lead ML innovations for Coupang Eats Search, shaping how customers discover food/delivery items via retrieval and relevance models. Own end-to-end stack, including query understanding, candidate retrieval, and relevance measurement, while driving business growth through scalable, low-latency solutions.
Design and optimize AI-driven, low-latency cloud and edge systems for immersive audio/video experiences, building distributed data platforms and real-time streaming architectures.
Build and scale AI-driven marketing optimization systems using causal ML and probabilistic modeling to help brands optimize ad spend and growth.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Develops and optimizes search relevance algorithms for a question-answering platform, focusing on ranking features, semantic text understanding, and improving retrieval accuracy from diverse knowledge sources.
Build and own end-to-end ML systems for an expert network serving 100M+ customers, using forecasting, optimization, and reinforcement learning to match demand with expert capacity in real time.
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