365 ml infrastructure engineer jobs at 158 companies in Benicia, CA
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ML Infrastructure Engineer
Palo Alto, California, United States
$180k-$440k/yr OnsiteFull Time
2+ YOE2+ years building large-scale production systems or ML infrastructure; degree in CS or related field or equivalent experience; strong Python and compiled-language skills; experience with GPU and distributed systems.
Python, C++, Rust, JAX, PyTorch, NVIDIA drivers, CUDA, Linux, Slurm, Puppet, Ansible
1mo
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Staff ML Infrastructure Engineer
Sunnyvale, California, United States
$189k-$291k/yr HybridFull Time
5+ YOE5+ years building large-scale distributed or ML systems; strong APIs and cloud infrastructure experience; expertise in ML lifecycle and MLOps; coding in Python or C++; BS/MS/PhD in CS/Math or equivalent experience.
Python, C++, PyTorch, TensorFlow, Bazel, Buck, Blaze, CMake, Docker, Kubernetes
2mo
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Founding ML infrastructure Engineer
San Francisco or United States
$200k-$350k/yr RemoteFull Time
Experience designing and operating large-scale distributed infrastructure; Kubernetes/Slurm; multi-cloud GPU; reliability and scheduling; startup mindset.
Kubernetes, Slurm, Scheduling, TensorRT-LLM, NCCL, InfiniBand, RoCE, CuTe, Triton, TileLang
1mo
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HPC/ML Infrastructure Engineer
San Francisco or Tokyo
OnsiteFull Time
Experienced HPC/ML infrastructure engineer with Linux sysadmin skills, cluster bring-up and operations experience, familiarity with SLURM and parallel filesystems, networking and datacenter hardware handling.
SLURM, Slinky, K8s, Warewulf, MAAS, Ansible, WEKA, VAST, Ceph, Tailscale, Grafana, Prometheus, LDAP, dmesg, HGX, VLAN
1mo
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Software Engineer, ML Infrastructure
Mountain View, California, United States
$160k-$241k/yr OnsiteFull Time
3+ YOE3+ years in ML infrastructure/backend platform or distributed systems. Experience with Terraform/Pulumi/Crossplane, Kubernetes/Ray/Slurm/Volcano schedulers, Apache Spark/Beam, feature stores (Feast/Hopsworks/Redis), and systems design for HPC.
Terraform, Pulumi, Crossplane, Kubernetes, KubeRay, Ray, Slurm, Volcano, Apache Spark, Apache Beam, Feast, Hopsworks, Redis, Lustre, Ceph, NVMe, AWS, GCP, Azure, Kubeflow, CNCF
1w
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Senior Software Engineer, ML Infrastructure
Cupertino or San Francisco or Houston
$209k-$235k/yr OnsiteFull Time
Significant experience building and operating production cloud infrastructure (GCP/AWS/Azure), Kubernetes (GKE), Terraform, workflow orchestration, Python and systems language experience; strong distributed systems and cloud networking skills.
GCP, AWS, Azure, Kubernetes, GKE, Terraform, Flyte, Temporal, Airflow, Python, Go, C++, Java, Rust, Grafana, Google Cloud Monitoring
3w
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ML Infrastructure Engineer
San Francisco, California, United States
$180k-$230k/yr OnsiteFull Time
5+ YOEBachelor's in CS/EE or related,5+ years software or systems ML experience,proficient Python and PyTorch,distributed-training and large-scale data pipeline experience,excellent communication.
Python, PyTorch, FSDP, DeepSpeed, Megatron-LM, Ray, C++, Go, CUDA, Rust, Java, Kubernetes, Docker
2mo
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ML & Cloud Infrastructure Engineer
Belmont, California, United States
OnsiteFull Time
4+ YOE4+ years deploying high-performance ML pipelines; proficient in Python; comfortable with C++/Go; PyTorch; cloud platforms (AWS, GCP, Azure); Docker/Kubernetes/Airflow; Parquet/HDF5/TFRecord; US work authorization.
Python, C++, Go, PyTorch, Parquet, HDF5, TFRecord, AWS, GCP, Azure, Docker, Kubernetes, Airflow
3w
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Staff/Sr. ML Infrastructure Engineer, Foundation Model Compute Infra
Santa Clara, California, United States
OnsiteFull Time
Design and deliver infrastructure for foundation-model compute and collaborate across cross-functional teams.
4w
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Senior ML Infra Engineer
Santa Clara, California, United States
OnsiteFull Time
Experience building production ML training and deployment systems, strong software engineering and infra fundamentals, PyTorch experience, HPC/GPU knowledge, and strong communication and product sense.
Python, PyTorch, Docker, CI/CD, GPUs, CUDA, vLLM, TensorRT, Triton
1w
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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
3mo
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Staff Software Engineer, ML Infrastructure
San Francisco, California, United States
$220k-$260k/yr HybridFull Time
7+ YOE7+ years software systems, ML infra experience, Python, PyTorch, ML tooling, strong communication.
Python, PyTorch, AWS, TensorRT, ONNX, Weights & Biases, MLflow, ClearML
1mo
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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
1mo
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Senior / Principal Infrastructure Engineer - ML Platform
San Mateo, California, United States
$279k-$345k/yr HybridFull Time
6+ YOE6+ years experience building scalable infrastructure; deep Kubernetes and Terraform experience; familiarity with AWS/GCP, Docker, CI/CD; bachelor's degree or equivalent practical experience.
Kubernetes, Terraform, AWS, GCP, Docker, CI/CD
3mo
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Autonomy Engineer - ML & DL Infrastructure
San Mateo, California, United States
$170k-$278k/yr HybridFull Time
Experience with data engineering, cloud ML platforms, ML Ops, large-scale data pipelines, model training/deployment, and security/compliance in ML infrastructure; strong collaboration.
Cloud platforms, Containerization, ML Ops, Databases, Data pipelines
2mo
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ML ENGINEER (GENERAL)
San Francisco, California, United States
OnsiteFull Time
6+ YOESenior ML engineer with 6+ years building production-grade ML systems; strong Python; distributed systems experience; familiar with Ray, Kubernetes, and experimentation infrastructure.
Python, PyTorch, JAX, Ray, Slurm, Kubernetes
1w
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AI Infrastructure Engineer
San Francisco, California, United States
$150k-$220k/yr OnsiteFull Time
5+ YOE5+ years in systems or infrastructure engineering with GPU, HPC, or ML infrastructure experience; technical bachelor's or master's degree; Linux, Kubernetes, schedulers, configuration management, Python, Bash, containers, GPUs, and RDMA expertise.
Ansible, SaltStack, Git, Python, Bash, Kubernetes, NVIDIA GPU Operator, Slurm, Run:AI, enroot, pyxis, Docker, containerd, NVIDIA Container Toolkit, CUDA, cuDNN, NCCL, Fabric Manager, ROCm, RCCL, DKMS, GPUDirect RDMA, GPUDirect Storage, MOFED, DOCA, PyTorch, JAX, DCGM exporter, Prometheus, Grafana, PXE, MaaS, Packer, Foreman, Terraform, Lustre, GPFS, Weka, vLLM, Triton Inference Server, TensorRT-LLM, Nsight Systems, Nsight Compute, rocprof, perf, eBPF, EMR
1d
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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
1w
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Staff Research Engineer, Scientific Computing and ML/Physics Infrastructure
Cambridge or London or San Francisco
$224k-$294k/yr OnsiteFull Time
Strong software engineering in Python, experience with ML/scientific computing, distributed systems, GPU performance, PyTorch/JAX/CUDA, Linux and containers, orchestration systems, and working with research teams.
Python, PyTorch, JAX, CUDA, Linux, Docker, Kubernetes, Slurm, Ray, Flyte, Argo, CI
16h
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Senior Infrastructure Engineer
Petah Tikva or Austin or New York City or Los Angeles or San Francisco or London or Berlin or Singapore or Tel Aviv
HybridFull Time
8+ YOE8+ years in infrastructure, platform, or back-end engineering; distributed systems, AWS or GCP, programming, Kubernetes, data or ML infrastructure, infrastructure-as-code, CI/CD, GitOps, observability, and production operations experience.
AWS, GCP, Azure, Go, Java, Python, Scala, Kubernetes, Spark, Apache Kafka, Databricks, ArgoCD, GitOps, CI/CD, MLOps, FinOps
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