8 machine learning platform engineer jobs at 5 companies in Ladera Ranch, CA
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Machine Learning Platform Engineer
San Francisco or New York City or Los Angeles or Seattle
$245k-$345k/yr HybridFull Time
4+ YOE4+ years building ML systems, 3+ years engineering production systems, 1+ year Python, experience with distributed training/inference, databases, monitoring, and cloud services.
Python, PostgreSQL, DynamoDB, Elasticsearch, Redis, DataDog, Grafana, AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS, ECS, Apache Kafka, Flink
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Staff Machine Learning Engineer - Game Tech Group, ML Platform
Los Angeles, California, United States
$229k-$320k/yr OnsiteFull Time
6+ YOERequires 6+ years in engineering with ML/AI, platform, or infrastructure experience; inference platforms, CI/CD, infrastructure-as-code, distributed services, GPU orchestration, and performance tuning.
KServe, Feast, Milvus, NVIDIA Triton, Dynamo, TorchServe, Terraform
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Staff Machine Learning Engineer - Game Tech Group, ML Platform
Los Angeles, California, United States
$229k-$320k/yr OnsiteFull Time
6+ YOE6+ years engineering experience with ML/AI or platform teams; experience with inference platforms (KServe), Feast, Milvus, inference serving frameworks (NVIDIA Triton, TorchServe), GPU orchestration, CI/CD, Terraform, and distributed services.
KServe, Feast, Milvus, NVIDIA Triton, Dynamo, TorchServe, CI/CD, Terraform
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Machine Learning Engineer 5 - Decisioning & Optimization
New York or Los Angeles or Los Gatos or Seattle
$466k-$750k/yr OnsiteFull Time
7+ YOE7+ years software engineering; 3+ years ML infrastructure, model serving, or ML platform experience in ads/real-time decisioning; real-time model serving with sub-20ms latency; proficiency in Java, Python, or Scala; experience with ML serving frameworks and real-time feature pipelines; strong model monitoring and production readiness.
Java, Python, Scala, ML serving frameworks, feature stores, model registries
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Principal Machine Learning Engineer - League of Legends
Los Angeles, California, United States
$292k-$438k/yr OnsiteFull Time
10+ YOEBachelor's degree or equivalent practical experience; 10+ years software engineering experience, including 5+ years building production ML platforms, systems, or MLOps capabilities; expertise in scalable ML operations and cloud-native systems.
Kubernetes, GPU scheduling, container orchestration, MLOps, API, cryptography
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Principal Machine Learning Engineer - League of Legends
Los Angeles, California, United States
$292k-$438k/yr OnsiteFull Time
10+ YOEBachelor's in computer science or equivalent; 10+ years software engineering experience, including 5+ years building production ML platforms or MLOps; expertise in Kubernetes, GPU scheduling, cloud-native orchestration, and large-scale systems.
Kubernetes, GPU scheduling, MLOps, API, cryptography
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Principal Software Engineer, Machine Learning Infrastructure
Palo Alto or Seattle or Los Angeles or New York or Bellevue
$235k-$414k/yr OnsiteFull Time
10+ YOE10+ years software development experience, technical leadership, distributed systems and ML inference platform expertise, strong software design and debugging skills, ability to operate highly-available systems at scale.
Tensorflow, PyTorch, Kubernetes, GPU, LLM inference, RPC
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Software Engineer, AI Platform
New York City or Los Angeles or Austin or Seattle
OnsiteFull Time
Experienced software engineer with production AI or machine learning experience, large-scale data systems expertise, scalable backend or distributed systems skills, and zero-to-one product development experience.
AI, machine learning, time series, telemetry, observability platforms, data infrastructure, distributed systems, agent infrastructure, evaluation pipelines, retrieval systems, LLM applications, retrieval pipelines, time series databases, observability tooling, data platforms