8 platform ml engineer jobs at 7 companies in Stockton, CA
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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/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
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
San Ramon or Salt Lake City or Philadelphia or Chicago or Pasadena or Bellevue or Irvine or Duluth or Los Angeles or Boca Raton or Brunswick or Atlanta or Boise or El Segundo or Denver or Dallas or New York City or Los Angeles or Garden City or Nashville or St. Louis or Woodland Hills or San Jose or San Francisco or Austin
$105k-$143k/yrOnsiteFull Time
Armanino: Provides accounting, tax, and consulting services to diverse organizations.
2+ YOERequires 2+ years in data, platform, analytics engineering, or cloud operations; 1+ year accounting experience; cloud data, BI, CI/CD, scripting, SQL, governance, and AI/ML familiarity.
Microsoft Fabric, Snowflake, Databricks, Power BI, Tableau, Git, Python, PowerShell, SQL, Azure Key Vault, Azure OpenAI, AI Search
Chicago or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or New York City or Cleveland or Oklahoma City or Austin or Albany 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 Regina or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Nashville or Detroit or San Diego
$87k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
8+ YOE3+ MgmtRequires 8+ years in cloud engineering, AI automation, or platform architecture; 3+ years leading FinOps automation; 1+ year agentic AI and MCP; bachelor's degree or equivalent experience.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
5+ YOEDegree in CS/CE or related, 5+ years systems/DevOps/ML infrastructure experience, hands-on AI/GPU cluster and Linux/Kubernetes expertise, Python/Bash scripting, and knowledge of storage, networking, and security.
Software Engineer (Python / C++) — ML Platform & Production Integration
Fremont, California, United States
$120k-$150k/yrHybridFull Time
Velo3DNASDAQ: VELO: Manufacturer of advanced metal 3D printers and software.
3+ YOEBachelor's in CS or related, 3+ years software development, strong Python and C++ proficiency, experience with automated testing and version control, ability to port ML prototypes to production and integrate into software stacks.
System Architect - AI and Rack-Scale Systems Architect
Oregon or Fremont
$179k-$225k/yrOnsiteFull Time
Hyve SolutionsNYSE: SNX: Designs and manufactures custom hardware for hyperscale data centers.
10+ YOEBachelor's degree in CS/EE, 10+ years system architecture experience focused on AI/HPC, rack-scale design, AI/ML frameworks, GPU/accelerator integration, interconnects, virtualization/containerization, and cloud platforms.
Ridgeline: Cloud-native platform for investment management operations.
10+ YOE10+ years in product management; 7+ years owning platform, API, or developer products; experience defining and shipping integration platforms and developer ecosystems; strong commercial instincts; ability to align multiple engineering teams and stakeholders; familiarity with AI/ML product patterns; knowledge of financial services a plus.
API platform, Data contracts, Integrator framework, AI interoperability