114 ml infrastructure engineer jobs at 44 companies in Bothell, WA
🚀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.
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.
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
9+ YOE1+ Mgmt9+ years software engineering experience, 1+ year managing engineers, experience with large-scale ML infrastructure, distributed systems, strong communication and technical leadership, proficiency with ML training/inference platforms and AI tools.
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.
8+ YOE5+ MgmtBachelor's degree or equivalent, 8+ years software development, 7+ years leading ML/ML infrastructure strategy, 5+ years people management, experience with speech/audio or reinforcement learning or ML infrastructure, cloud GPU experience preferred.
Google Compute Engine (GCE), Vertex AI, Google Cloud, TPU, GPU
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.
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.
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
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Experience building and operating ML infrastructure and model serving systems; proficiency in Golang or Python; Kubernetes experience; familiarity with ML serving frameworks and distributed systems; strong collaboration and communication.