109 ml infrastructure engineer jobs at 47 companies in Orting, WA
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ML Engineer, Foundation Model Infrastructure
Mountain View or San Francisco or Kirkland or New York City
$175k-$215k/yrHybridFull Time
Waymo: Autonomous driving technology for ride-hailing and logistics.
Master's degree or equivalent practical experience; Python and C++ proficiency; modern deep learning framework familiarity; experience with large-scale data pipelines or ML infrastructure.
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.
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.
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.
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.
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.
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.
Software Engineer, Systems ML (Technical Leadership)
Bellevue, Washington, United States
$219k-$301k/yrOnsiteFull Time
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
12+ YOEBachelor's degree or equivalent,12+ years software engineering focused on ML systems (AI infrastructure, compilers, HPC, GPU, frameworks),experience delivering large-scale ML training/inference infrastructure,leadership of cross-functional initiatives,proficiency in C++,Python,or CUDA.
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
TikTok: Global short-form video hosting and social media platform.
3+ YOEBachelor's in CS or related,3-5 years building scalable systems,experience with C/C++,Java or Golang,knowledge of recommender/search/ML/distributed systems,strong communication and ownership.
Manager, Engineering | ML Infrastructure & Tooling
Seattle, Washington, United States
$170k-$195k/yrHybridFull Time
ExtraHop: Provides network detection and response software for cybersecurity.
7+ YOE3+ MgmtBS in CS or related, 7+ years software development experience with 3+ years managing teams; experience delivering machine-learning cloud infrastructure, infra-as-code, DB/SQL performance, CI/CD/DevOps, familiarity with LLMs/clustering/anomaly detection, and agile practices.
SQL, CI/CD, DevOps, LLMs, Agile, infrastructure as code
Senior Software Engineer - Platform and Infrastructure
Glendale or Seattle or Bristol
$142k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOEBachelor's in computer science or related field, 5+ years technical experience, hands-on ML and production-grade software development, API integration, defensive application design, and strong technical communication.
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.