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Data Scientist at Quora designing experiments, analyzing user behavior, and building metrics to improve the knowledge-sharing platform and homepage personalization using Python and statistical methods.
The Apple Neural Engine Software team develops the compiler and runtime for machine learning accelerators on Apple Silicon. In our ANE software team, we are dedicated to providing hardware acceleration using the Apple…
PhD student researching reliable, self-adaptive AI systems for embedded and edge devices, focusing on uncertainty control and sustainable computing in next-gen AI-enabled systems.
Leads architecture and development of mission-critical software for a next-gen manufacturing platform, using TypeScript, React, Node.js, GraphQL, and cloud-native systems.
SECURITY CLEARANCE: TS/SCI with both Polygraphs is required POSITION: Expert HPC Network/Systems Engineer REQUISITION: K EY-TE.HPC-03.080626 LOCATION : Ft. Meade, Maryland JOB DESCRIPTION: • (U) Provide Tier 4 HPC…
About the opportunity Want to build high-scale cloud systems that millions rely on every day? Come help us redefine what a great AI-powered Platform should be. The Dayforce Talent Product Development team is seeking an…
Build and optimize Google Cloud Platforms infrastructure, writing C++/Python code to scale systems handling billions of users and improving performance across Google’s services.
Lead the design and build of a structured products trading platform using Python/C# and React, deploying on AWS with Terraform and Docker for a global asset manager.
Design and implement large-scale data architectures using Databricks Lakehouse, Apache Spark, and Delta Lake, while optimizing cloud costs and governance for global enterprise clients.
Build and optimize large-scale ad-serving and segmentation systems for CTV advertising, working with distributed data pipelines and cloud infrastructure.
Develops AI/ML and GenAI solutions for Google Search, designing large-scale systems and optimizing model deployment to improve global information retrieval and accessibility for billions of users.
Software Engineer III at Google Cloud Compute Infrastructure designs, develops, tests, deploys, and maintains software solutions for large-scale systems, including AI and infrastructure at scale, using technologies like C++, Java, or Python.
Design and ship cloud-native AI solutions (RAG, agents, LLM integrations) in Python, owning architecture and client delivery for global enterprises.
Develops next-gen network infrastructure software at Google’s Global Network Edge, optimizing cloud connectivity and global service delivery (e.g., Gmail, Search) by designing scalable, high-performance networking solutions and resolving system inefficiencies across distributed systems.
Leads embedded systems/firmware development for Google’s server platforms (BIOS, drivers, kernel), collaborating with hardware/software teams to design high-performance solutions for AI, cloud, and hyperscale computing infrastructure.
Designs and optimizes Google’s AI/ML infrastructure stack, focusing on performance tuning, debugging, and tooling for large-scale AI/ML workloads (e.g., LLMs, TPUs) to ensure scalable, high-efficiency systems for global users and Google Cloud customers.
Build and optimize AI agents for Google Cloud’s Applied AI portfolio, focusing on recommendation systems, skill discovery, and performance tools for conversational agents.
Senior Machine Learning Engineer designs, implements, and optimizes ML models and pipelines in production, focusing on performance, scalability, and efficiency for Conga's commercial operations platform.
Build and maintain scalable data pipelines and analytics platforms for financial institutions using big data tools like Spark, Hive, and cloud platforms.
Builds and optimizes GenAI systems for YouTube, designing semantic layers and RAG pipelines to turn massive data into actionable insights for creators and viewers.
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