69 ai ml infrastructure engineer jobs at 33 companies in Grapeview, WA
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ML Engineer
Palo Alto or Seattle or Paris
$139k-$226k/yrRemoteFull Time
Docker: Provides a platform for building, sharing, and running containerized applications.
5+ YOE5+ years applied ML/AI experience, 4+ years software engineering, experience with LLM-based systems, model lifecycle and ML infrastructure, bachelor's in CS/Engineering or equivalent, strong communication and mentoring skills.
Lead AI/ML Engineer (GenAI & Agentic Systems)-iCloud
Seattle, Washington, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Technical leadership in GenAI and agentic systems for large-scale cloud infrastructure; production experience with LLMs, RAG, automation and orchestration frameworks; cross-team collaboration with data and infrastructure teams.
GE HealthCareNasdaq: GEHC: Develops and sells medical imaging and diagnostic technology.
3+ YOEDesign, build, and deploy production-grade AI solutions using LLMs and foundation models; strong ML, software engineering, and AI infrastructure experience required.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
3+ YOEBachelor's degree or equivalent practical experience, AI infrastructure or algorithm development in C/C++ or Python, and expertise in machine learning systems, hardware acceleration, or related domains.
ByteDance: Developing AI-driven content platforms and mobile applications.
2+ YOE2+ years building cloud/ML infrastructure; strong knowledge of large-model inference, distributed systems, scheduling, and container orchestration; proficiency in Go, Rust, Python, or C++; experience with Kubernetes and GPU orchestration.
5+ YOEBachelor's degree or equivalent,5+ years Go experience,3+ years distributed systems/infrastructure experience,EMR not required; proficiency with system architecture and large-scale infrastructure.
Senior Software Engineer - AI / ML Platforms and Infrastructure
Seattle, Washington, United States
$168k-$210k/yrHybridFull Time
Allen Institute: Non-profit organization conducting large-scale open science and bioscience research.
5+ YOEBachelor's or equivalent, 5+ years building AI/ML platforms, proficiency with Python, shell scripting, Git, cloud platforms, and project tools; experience with federated learning preferred.
Jira, Python, shell scripting, Git, AWS, Google Cloud, Azure
Seattle or Bellevue or United States or San Francisco Bay Area
HybridFull Time
Stealth AI Startup: Building infrastructure to deploy and manage enterprise AI applications.
5+ YOE5+ years engineering experience, AI/ML infrastructure or MLOps expertise, cloud-native systems knowledge, Python and a systems or backend language, debugging ability, and strong customer-facing communication.
DigitalOceanNew York Stock Exchange: DOCN: Simplifies cloud infrastructure for developers, startups, and SMBs.
10+ YOE10+ years in server/storage/infrastructure architecture; deep expertise with CPU/GPU/xPU platforms, AI/ML hardware roadmaps, CXL/DPUs/SmartNICs and storage topologies; strong communication and leadership.
CapgeminiEuronext Paris: CAP: Provides global IT consulting and digital transformation services.
10+ YOE10+ years designing and delivering enterprise AI/ML architectures; expertise in LLM/ML model selection, cloud/on‑prem infrastructure, Python, CI/CD, Docker/Kubernetes, REST APIs, model tuning and governance.
UberNYSE: UBER: A technology platform for transportation, delivery, and freight.
6+ YOE6+ years developing ML models, bachelor's degree in computer science, computer engineering, or related field, AI/ML framework experience, foundational model or LLM development, and MLOps/ML infrastructure experience.
PyTorch, TensorFlow, Kubernetes, MLOps, Large Language Models (LLMs)
Senior Software Engineer, Machine Learning Infrastructure - Generative AI
San Francisco or Sunnyvale or Seattle
$137k-$299k/yrOnsiteFull Time
DoorDashNYSE: DASH: Local food delivery and on-demand logistics platform.
6+ YOEB.S., M.S., or PhD in Computer Science or equivalent; 6+ years software engineering experience; Python, distributed systems, production ML infrastructure, LLM inference or fine-tuning, technical leadership, and AI coding tools.
AI Inference Infrastructure Software Engineer (Kubernetes / Cloud)
Seattle, Washington, United States
HybridFull Time
ElastixAI: A software startup focused on AI inference infrastructure and high-performance cloud platforms.
3+ YOE3–5 years in Kubernetes and cloud deployments; BS in CS/Software Eng; strong Python/Bash/Go; experience with Terraform/Pulumi, Ansible/Puppet, GitOps; production ML/inference on Kubernetes.
Rippling: Unified platform managing workforce HR, IT, and finance operations
8+ YOE8+ years software engineering experience with 5+ years focused on ML; deep expertise in LLMs and modern ML; hands-on with PyTorch and JAX; experience shipping ML systems and building evaluation/production infrastructure.
12+ YOE5+ MgmtBS in CS/Engineering (MS preferred), 12+ years software engineering experience with platform/infrastructure focus, 5+ years managing managers, experience delivering enterprise-scale platform capabilities and partnering with AI/ML orgs.
AWS, Microsoft, Databricks, LiteLLM, Portkey, Traefik AI Gateway, MCP, Expressway, LLM APIs, CI/CD, FinOps, AI gateway
AtlassianNASDAQ: TEAM: Develops software for team collaboration and project management.
5+ YOE5+ years building ML/AI infrastructure, expert ML lifecycle and large-scale system design, proficiency in Python and ML frameworks, MLOps and CI/CD experience.
Phoenix or San Diego or San Francisco or Los Angeles or Denver or Portland or Seattle
$185k-$235k/yrOnsiteFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOEMinimum 10 years in technical pre-sales or solutions architecture; hands-on AI/ML infrastructure design experience; ability to whiteboard end-to-end AI architectures; bachelor’s degree required; experience with NVIDIA systems and public cloud platforms.
NVIDIA DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse, NVAIE, AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data