Machine Learning Engineer, Model Optimization - San Francisco

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver—to improve access to mobili ...

Meta's global network is looking for a Network Modeling and Optimization Engineer to join the backbone and edge engineering team. This team designs, implements, and supports one of the world's largest networks. · Work with various teams to understand Meta's network, user base, pe ...

Meta's global network comprised of cutting-edge platforms is looking for a Network Modeling and Optimization Engineer to join the backbone and edge engineering team. · ...

Meta's global network comprised of cutting-edge platforms, is looking for a Network Modeling and Optimization Engineer to join the backbone and edge engineering team. This team is responsible for designing, implementing and supporting one of the world's largest and complex networ ...

We want to develop Olympiad-level physical intelligence that will enable highly capable robots. · Design, train, and evaluate models optimized for edge accelerators · Focus on improving model quality and training stability with model architecture design · ...

Weare an AI platform engineering team building large-scale end-to-end AI production pipelines covering model training optimization deployment and real-world applications. · We are seeking an experienced AI model optimization engineer specializing in large model inference accelera ...

+Job summary · We are seeking an experienced AI model optimization engineer specializing in large model inference acceleration. · +Design and optimize large model inference pipelines for low-latency and high-throughput production deployments. · Benchmark and profile deep learning ...

We're hiring a GPU Optimization Engineer who understands GPUs at a deep architectural level — someone who knows exactly how to squeeze every last millisecond out of a model, · Optimize model architectures (ASR, TTS, SLMs) for maximum performance on specific GPU hardware · Profile ...

We're hiring a GPU Optimization Engineer who understands GPUs at a deep architectural level — someone who knows exactly how to squeeze every last millisecond out of a model, · Optimize model architectures (ASR, TTS, SLMs) for maximum performance on specific GPU hardware · Benchma ...

+We are revolutionizing AI computation with the world's first metamaterial-based optical computing platform. · +Lead the porting of LLM applications, diffusion models, and visual ML applications to Neurophos optical inference engines · + ...

+Job summary · We are seeking an experienced machine learning architect to lead the porting and optimization of large language models (LLMs), diffusion models, and other ML applications to our revolutionary optical inference engines. · +ResponsibilitiesLead the porting of LLM app ...

We're seeking a high-agency Forward Deployed / Applied ML Engineer to bridge cutting-edge generative AI research with real-world production systems. · Deploy and optimize FLUX diffusion models in customer environments. · Fine-tune and customize foundation models for customer-spec ...

We are a cutting-edge AI startup in the Bay Area developing highly efficient foundational models for real-world deployment across devices. Rapidly growing team focused on building top-tier large language model (LLM) architectures with real-world impact. · ...

We're hiring a · GPU Optimization Engineer who understands GPUs at a deep, · architectural level — someone who knows exactly how to squeeze · every last millisecond out of a model, · what GPU constraints matter,and how to restructure models for real-world inference performance.S ...

· Title: Forward Deployed Machine Learning Engineer · Job Type: Contract / FTE (W2 only) · Location: San Francisco, CA - Onsite/ Hybrid/ Remote · Role Overview · We're seeking a high-agency Forward Deployed / Applied ML Engineer to bridge cutting-edge generative AI research with ...

We are seeking an experienced machine learning architect to lead the porting and optimization of large language models (LLMs), diffusion models, and other ML applications to our revolutionary optical inference engines. · MS or PhD in Computer Science, Data Science, Machine Learni ...

We're not just optimizing models—we're pushing toward the physical limits of what's possible with current hardware. · ...

+Job summary · We're seeking a high-agency Forward Deployed / Applied ML Engineer to bridge cutting-edge generative AI research with real-world production systems. · + · + · ...

You will be pushing the frontier of foundation model research and make them a reality in products. · Making novel architectures, · system optimizations, · optimization algorithms,, · We offer competitive compensation with base salary range $160k - $230k + benefits. · ...

As an AI Researcher, you will be pushing the frontier of foundation model research and make them a reality in products. · ...