13 ml infrastructure engineer jobs at 9 companies in Oceanside, CA
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Senior ML Infrastructure Engineer - VE Algorithms
San Diego, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
3+ YOEBS in Electrical Engineering or Computer Science; minimum 3 years of industry experience; experience with LLM training/adaptation; advanced PyTorch; strong Python/C++ programming; distributed training experience.
Anduril Industries: Defense technology building autonomous military hardware and software.
Experience building ML training, orchestration, and dataset management infrastructure; strong Python, Rust exposure (PyO3,Maturin) preferred; familiarity with TensorFlow/PyTorch, distributed training, MLOps tooling, Kubernetes; U.S. Person required; Top Secret clearance eligibility desirable.
Lead AI/ML Engineer (GenAI & Agentic Systems)-iCloud
San Diego, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Technical leadership in GenAI/agentic systems for large-scale cloud infrastructure; experience with LLMs, RAG, automation, evaluation/orchestration frameworks, and cross-team collaboration.
General Atomics Aeronautical Systems: Designs and manufactures unmanned aircraft and radar systems.
3+ YOEDesign and productionize AI/ML systems, CI/CD, automation, and data pipelines; experience with cloud, containers, infrastructure-as-code, and scripting; ability to obtain DoD clearance.
Fort Carson or Colorado Springs or Charleston or Denver or San Diego
$110k-$180k/yrOnsiteFull Time
The Marlin Alliance: Provides digital transformation and automation services to defense agencies.
U.S. citizen with active Top Secret clearance. Experience building and securing cloud infrastructure, container orchestration, IaC, Linux, scripting, and supporting AI/ML platforms; ability to lift 50 lbs.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
3+ YOEBachelor's degree plus 3 years in software/data engineering; strong Python, SQL, Linux, Git; experience building data pipelines and data infrastructure; knowledge of data governance and ML workflows.
Python, Oracle SQL, Linux, Git, Cassandra, MLOps, Data Visualization, BI tools
2+ YOEBachelor's degree or equivalent; 2 years software development (or 1 year with advanced degree); 2 years C++; 1 year ML infrastructure; 1 year computer vision/imaging or AR; strong communication and critical thinking.
12+ YOE5+ MgmtBS in CS/Engineering (MS preferred), 12+ years software engineering experience with platform/infrastructure focus, 5+ years managing managers, experience delivering enterprise-scale platform capabilities and partnering with AI/ML orgs.
AWS, Microsoft, Databricks, LiteLLM, Portkey, Traefik AI Gateway, MCP, Expressway, LLM APIs, CI/CD, FinOps, AI gateway
Phoenix or San Diego or San Francisco or Los Angeles or Denver or Portland or Seattle
$185k-$235k/yrOnsiteFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
10+ YOEMinimum 10 years in technical pre-sales or solutions architecture; hands-on AI/ML infrastructure design experience; ability to whiteboard end-to-end AI architectures; bachelor’s degree required; experience with NVIDIA systems and public cloud platforms.
NVIDIA DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse, NVAIE, AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data
Irvine or Denver or Indianapolis or Grand Rapids or Lexington or Los Angeles or Louisville or Texas or San Francisco or United States
$218k-$225k/yrOnsiteFull Time
Trace3: Provides IT consulting and technology solutions for enterprise digital transformation.
12+ YOE5+ MgmtBachelor's in CS/EE or related; 12+ years enterprise infrastructure experience with 5+ years designing and implementing production-scale AI/ML/HPC (multi-rack GPU) and 5+ years people leadership; familiarity with GPU compute, high-performance networking, scale-out storage, Kubernetes/Slurm/Run:ai, and AI security; willingness to travel up to 50%.
8+ YOE2+ MgmtBachelor's degree or equivalent,8+ years software development,5+ years in computer vision/ML or signal processing,5+ years optimizing ML infrastructure,3+ years technical leadership,2+ years people management,proficiency in C/C++/Android and UNIX/Linux.