121 ml infrastructure engineer jobs at 52 companies in Burien, WA
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ML Engineer, Foundation Model Infrastructure
Mountain View or San Francisco or Kirkland or New York City
$175k-$215k/yr HybridFull Time
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.
Python, C++, Flume, JAX, PyTorch, TensorFlow, Spark, Borg, Kubeflow
2mo
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ML Engineer
Palo Alto or Seattle or Paris
$139k-$226k/yr RemoteFull Time
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.
Docker Desktop, Docker Hub, Docker Scout, LLM, MCP, Agentic Platform
3w
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Staff/Sr. ML Infrastructure Engineer, Foundation Model Compute Infra
Seattle, Washington, United States
OnsiteFull Time
No qualifications specified in the posting.
3d
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Senior ML Engineer
San Francisco or Los Angeles or Denver or Austin or Chicago or New York City or Canada or Seattle or Santa Barbara or San Diego or Toronto
$152k-$228k/yr RemoteFull Time
5+ YOE5+ years of ML engineering experience; advanced Python, PyTorch, and deep learning; production NLP model deployment; SLM/LLM fine-tuning; inference infrastructure; production APIs; MLOps and model monitoring.
Python, PyTorch, HuggingFace Transformers, spaCy, Triton Inference Server, Baseten, Kubernetes, LoRA, QLoRA, PEFT, vLLM, TGI, SageMaker, Vertex AI, Braintrust, MLflow, RLHF
4w
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Principal Core Infrastructure Engineer
Seattle, Washington, United States
$85k-$210k/yr OnsiteFull Time
6+ YOEDesign, deploy, and manage AI/ML and HPC infrastructure; scripting and automation (Ansible,Terraform,Python); containerization (Docker,Kubernetes); strong Linux, networking, security, and troubleshooting skills.
Ansible, Terraform, Python, Kubernetes, Docker, Slurm, PBS, TensorFlow, PyTorch, scikit-learn, Jenkins, GitLab CI/CD, Prometheus, GitHub, Scala, Oracle Linux, RHEL, CentOS, Ubuntu, Debian
1mo
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Machine Learning Infrastructure Engineer
San Francisco or New York or Los Angeles or Seattle
$200k-$345k/yr HybridFull Time
4+ YOE4+ years building ML systems,3+ years software engineering,1+ year Python,experience with databases,monitoring,cloud services and production ML deployments.
Python, PostgreSQL, DynamoDB, Elasticsearch, Redis, DataDog, Grafana, AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS, ECS, Apache Kafka, Flink
3mo
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SWE - Backend Infrastructure Engineer
San Francisco or Bellevue or New York
$175k-$280k/yr OnsiteFull Time
3+ YOEStrong systems thinker with reliability engineering experience; 3+ years in infrastructure, platform, or ML systems; Kubernetes production experience; strong communication.
Kubernetes, Terraform, CloudFormation, Pulumi, TorchServe, Seldon, KServe, Ray Serve, PyTorch, APIs, Database design
4w
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Member of Technical Staff - Machine Learning Infrastructure Engineer
San Francisco or Toronto or Seattle
$180k-$300k/yr OnsiteFull Time
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.
PyTorch, JAX, AWS, GCP, Kubernetes, transformers, vLLM, SGLang
3d
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Tech Lead, Machine Learning Infrastructure Engineer
Seattle or Bellevue
$198k-$416k/yr OnsiteFull Time
5+ YOEBachelor’s or master’s degree in a technical discipline; 5+ years software engineering and 3+ years ML infrastructure experience. Requires Python, C++ or Java, distributed systems, GPU clusters, Kubernetes or Slurm, PyTorch or TensorFlow, CUDA, and networking expertise.
Python, C++, Java, Kubernetes, Slurm, PyTorch, TensorFlow, CUDA, InfiniBand, RoCE, Megatron, DeepSpeed, Triton, Cutlass, TensorRT, Triton Inference Server
1mo
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Principal Infrastructure Architect
Seattle, Washington, United States
$184k-$231k/yr HybridFull Time
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.
CXL memory pooling, DPUs/SmartNICs, disaggregated storage, computational storage, CPU, GPU, xPU, AI/ML, 800VDC rack scale systems
2mo
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Software Engineer, ML Infrastructure, Level 4
Palo Alto or Bellevue
$157k-$235k/yr OnsiteFull Time
2+ YOEBachelor's degree in a technical field; 2+ years post-Bachelor software dev, or Master with 1+ year, or PhD; experience building large-scale ML systems and distributed data processing; proficiency in Python/Java/Scala/C++.
Python, Java, Scala, C++, Spark, Flink, Ray, TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn
1w
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Senior Software Engineer, AI/ML System Infrastructure
Sunnyvale or Kirkland
$174k-$252k/yr OnsiteFull Time
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.
Go, C, C++, Tensor Processing Unit (TPU)
1d
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Senior Software Engineer – ML Infra
Sunnyvale or San Francisco or Seattle
$202k-$224k/yr HybridFull Time
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)
1mo
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Software Engineer - AI Compute Infrastructure
Seattle, Washington, United States
OnsiteFull Time
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.
AIBrix, Kubernetes, vLLM, SGLang, TensorRT-LLM, Docker, Ray, Go, Rust, Python, C++, CUDA, AWS, Azure, GCP, SageMaker, Azure ML, Vertex AI, DeepSpeed, PyTorch
2mo
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Software Engineer, ML Platform
Seattle, Washington, United States
$140k-$215k/yr OnsiteFull Time
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.
Python, Terraform, Ansible, PyTorch, JAX, Slurm, Kubernetes
3w
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Software Engineer, Systems ML (Technical Leadership)
Bellevue, Washington, United States
$219k-$301k/yr OnsiteFull Time
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.
C++, Python, CUDA, MLIR, XLA, TVM
3w
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Senior Software Engineer - AI / ML Platforms and Infrastructure
Seattle, Washington, United States
$168k-$210k/yr HybridFull Time
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
1mo
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Software Engineer, Recommendation Infrastructure (Seattle)
Seattle, Washington, United States
$148k-$301k/yr OnsiteFull Time
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.
C, C++, Java, Golang
2w
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Staff Software Engineer - Data Cloud Applied ML
San Francisco or Seattle or New York City
$189k-$315k/yr OnsiteFull Time
8+ YOE8+ years engineering experience owning distributed systems, experience deploying and optimizing LLMs, backend skills in Python/Go/Java, and cloud-native infrastructure experience (Kubernetes).
Python, Go, Java, Kubernetes, LLMs
2mo
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Manager, Engineering | ML Infrastructure & Tooling
Seattle, Washington, United States
$170k-$195k/yr HybridFull Time
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
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