119 ml infrastructure engineer jobs at 50 companies in Washington
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
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.
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Bachelor's degree in CS or related, strong foundation in ML systems or distributed systems, experience with Python, familiarity with ML frameworks and distributed tools, and ability to build scalable ML infrastructure.
LiveView Technologies: Provides mobile, solar-powered security units with AI-driven surveillance software.
8+ YOE8+ years in ML-infrastructure/MLOps building and operating model deployment, serving, CI/CD, monitoring, and LLM/VLM ops; strong API design and technical leadership; BS/MS in CS/Engineering or equivalent experience.
San Francisco or New York or Los Angeles or Seattle
$200k-$345k/yrHybridFull Time
Whatnot: Social marketplace for buying and selling via live streams
4+ YOE4+ years building ML systems,3+ years software engineering,1+ year Python,experience with databases,monitoring,cloud services and production ML deployments.
Sesame: Designing wearable computers with lifelike voice-driven AI agents.
3+ YOEStrong systems thinker with reliability engineering experience; 3+ years in infrastructure, platform, or ML systems; Kubernetes production experience; strong communication.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
8+ YOEBachelor's or equivalent, 8+ years in systems engineering/ML infrastructure, experience with distributed ML training/inference, PyTorch/JAX/TensorFlow, low-level C++/CUDA optimizations, and leading cross-functional ML systems projects.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
5+ YOE5+ years in high-scale infrastructure or ML systems; BS in Computer Science or related field; strong Python and PyTorch; Kubernetes; cloud experience; GPU/ML infra focus.
Member of Technical Staff - Machine Learning Infrastructure Engineer
San Francisco or Toronto or Seattle
$180k-$300k/yrOnsiteFull Time
Preference Model: Building reinforcement learning environments to train frontier AI models.
Experienced software engineer with production ML/data infrastructure skills, proficiency with PyTorch or JAX, distributed systems, AWS/GCP, Kubernetes, data pipelines, and familiarity with transformers and inference libraries like vLLM.
Grow Therapy: Platform connecting mental health providers with patients and insurance.
Proven experience designing and building real-time ML systems and infrastructure (feature stores, real-time serving, deployment safety, monitoring). Strong backend engineering, Terraform experience, technical leadership, and cross-team partnership.
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.
AI and ML Infra Software Engineer, GPU Clusters - New College Grad 2026
Santa Clara or Redmond
$124k-$242k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
Recent MS/PhD graduate or equivalent with experience in AI/ML and HPC infrastructure, knowledge of GPUs, storage, schedulers, networking, containers, distributed training, and proficiency in Python/Go/Bash.
AI and ML Infra Software Engineer, GPU Clusters - New College Grad 2026
Santa Clara or Redmond
$124k-$242k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
MS/PhD or equivalent experience in CS or related field; experience with AI/ML and HPC workloads, GPU infrastructure, storage, orchestration, networking, containers, distributed training; proficiency in Python/Go/Bash and cloud platforms.
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.
Xaira Therapeutics: Develops AI models for protein and antibody drug discovery.
5+ YOE5+ years building and deploying ML systems, strong Python skills, experience with ML training infrastructure, Terraform/Ansible, PyTorch/JAX, and leading technical projects; degree in CS/ML/Computational Biology preferred.
Staff Software Engineer, ML Infrastructure, Level 6
Bellevue or Seattle or Palo Alto
$229k-$343k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
9+ YOE9+ years software development (or equivalent with advanced degree), experience building large-scale ML, distributed systems or big data processing, strong programming in Python/Java/Scala/C++, and system performance focus.
9+ YOE9+ years post-Bachelor's software development experience (or advanced degree with reduced experience), experience building large-scale ML, distributed systems or big data processing, proficiency in Python/Java/Scala/C++, strong systems and scalability skills.
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