13 ml platform engineer jobs at 11 companies in Jamul, CA
2mo
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Senior Platform Engineer (OpAI)
Fort Carson or Colorado Springs or Charleston or Denver or San Diego
$110k-$180k/yr OnsiteFull Time
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.
AWS GovCloud, Kubernetes, OpenShift, Ansible, Terraform, CloudFormation, Python, Bash, Linux, GitHub Actions, GitLab CI, Jenkins, CloudWatch, Grafana, Elasticsearch, Airflow, Kafka, RabbitMQ, Apache, Kibana, Domino Data Labs, Tobias, Fiddler, VPCs, TCP/IP, TLS
4d
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Lead AI / ML Engineer
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yr HybridFull Time
6+ YOEBachelor's degree or equivalent experience, 6+ years developing and deploying AI/ML solutions, programming proficiency, experience with ML frameworks, big data, databases, and cloud platforms.
Python, R, Java, TensorFlow, PyTorch, Hadoop, Spark, AWS, Microsoft Azure, Google Cloud, D3.js, ggplot
1mo
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Lead AI Platform Engineer
Madison or San Diego or Redwood City
$151k-$256k/yr OnsiteFull Time
3+ YOE3+ MgmtDesign and deploy AI/ML and NLP solutions (including LLM/Gen AI) with leadership experience, strong Python skills, AI/ML knowledge, ethical AI awareness, and 3+ years project leadership experience.
Python, Scaled Agile Frameworks (SAFE)
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Director AI Engineering Platform
United States or Southfield or San Francisco or Seattle or Boston or New York City or Los Angeles or San Diego
$218k-$319k/yr RemoteFull Time
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
1mo
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AI and ML Platforms QA Engineer III
San Diego, California, United States
$95k-$161k/yr HybridFull Time
4+ YOE4+ years related experience; bachelor’s degree in CS/IS or equivalent; expertise in QA for cloud-native AI/ML platforms, data pipelines, CI/CD, IaC, SQL, automation, Docker/Kubernetes, AWS and Snowflake; ISTQB/CSTE/Selenium certifications preferred.
AWS, Snowflake, SageMaker, MLflow, SnowflakeML, Terraform, CloudFormation, CI/CD, Docker, Kubernetes, SQL, Selenium, API, IaC
1mo
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Senior Software Engineer, Machine Learning Platform
San Diego, California, United States
$187k-$266k/yr HybridFull Time
5+ YOEMaster's in CS or equivalent plus 5+ years designing/deploying low-latency, high-throughput ML inference systems; expertise in Scala/Java/Go, Bazel monorepos, Prow, Pulumi, feature stores, observability, and compliance (GDPR, SOC2).
Scala, Guice, Bazel, Prow, GitHub Prow, Golang, Pulumi, Java, Go
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Engineer, AI Platforms and Solutions
San Diego, California, United States
$94k-$141k/yr OnsiteFull Time
Hands-on experience with Python and Rust, search/retrieval systems, ML/NLP/embeddings, RAG and LLM-based applications, REST API development, and agentic frameworks (e.g., LangChain, Agno). Bachelor's degree required.
Python, Rust, LangChain, Agno, REST, MCP, LLM, RAG, Elasticsearch, Docker, Kubernetes
1mo
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AI Solutions Architect - West Region
Phoenix or San Diego or San Francisco or Los Angeles or Denver or Portland or Seattle
$185k-$235k/yr OnsiteFull Time
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
5d
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Technical Program Manager – GSOC Agentic Execution Enablement
San Diego, California, United States
$126k-$190k/yr OnsiteFull Time
2+ YOEBachelor's in engineering/CS or related,2+ years program management experience,experience with AI/ML platforms,governance and cross-functional coordination,PMP/PgMP/Agile/Scrum certifications preferred.
Generative AI, Agentic AI, LLM, RAG
1mo
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Director, Reporting & Analytics Engineering
San Diego, California, United States
$167k-$200k/yr OnsiteFull Time
10+ YOE5+ Mgmt10+ years in data/analytics engineering, 5+ years leading technical teams; expertise with Power BI (DAX), advanced SQL, cloud data platforms (Azure/AWS), AI/ML, data governance and regulated healthcare/financial data compliance.
Power BI, DAX, SQL, Azure, AWS, AI/ML
3w
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Group Manager, Talent Acquisition - Tech
Mountain View or San Diego
$203k-$282k/yr OnsiteFull Time
10+ YOE5+ Mgmt10+ years recruiting with 5+ years leading technical recruiting teams; deep technical recruiting domain expertise; experience building talent strategies for AI/ML and platform engineering; data-driven and strong stakeholder influence.
2mo
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Director (IT)
Carlsbad or Boston or Dublin
$159k-$268k/yr HybridFull Time
12+ YOESenior platform architect with strong Databricks, cloud, data engineering, SQL and Python skills; 12+–15+ years related experience in regulated industries; experience defining data governance, metadata, lineage, and production-grade AI/ML solutions.
Databricks, Unity Catalog, MLflow, SQL, Python, SAP, CRM, ERP
1mo
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Principal, AI Workflow Enablement Lead
Mountain View or San Diego
OnsiteFull Time
12+ YOE12+ years building or operating production AI/ML systems or workflow platforms, 3+ years driving change inside other organizations, Bachelor's required (CS/Engineering preferred), track record scaling AI workflows to production, VP-level stakeholder influence.