637 software engineer ml jobs at 323 companies in Vallejo, CA
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Principal Software ML Engineer
Spring or Palo Alto
$165k-$260k/yrOnsiteFull Time
HPNYSE: HPQ: Manufacturer of personal computers, printers, and imaging devices.
10+ YOE10+ years software engineering, 5+ years technical leadership; BS/MS in CS/Software/EE; experience with frontend and backend stacks, distributed systems, AI/LLM integrations, security, and CI/CD.
Angular, React, TypeScript, JavaScript, HTML, CSS, Rust, Python, C#, Node.js, Go, LLM APIs, Tauri, WebView, WebRTC, COM, PowerShell, Microsoft Graph, Microsoft Intune, Azure, Git, HP WXP
HPNYSE: HPQ: Manufactures personal computers, printers, and 3D printing hardware.
10+ YOEBachelor's or Master's in CS/Engineering,10+ years software engineering,5+ years technical leadership,deep architecture and AI integration experience,frontend/backend languages and cloud/service integration expertise.
Angular, React, TypeScript, JavaScript, HTML, CSS, Rust, Python, C#, Node.js, Go, Git, Tauri, WebView, WebRTC, COM, PowerShell, Microsoft Graph, Microsoft Intune, Azure, HP WXP, LLM APIs
HPNYSE: HPQ: Produces personal computers, printers, and related digital imaging products.
10+ YOEBachelor's/Master's in CS/SE/CE/EE,10+ years software engineering experience,5+ years technical leadership; deep architecture, frontend/backend, AI integration, security, and distributed systems expertise.
Angular, React, TypeScript, JavaScript, HTML, CSS, Rust, Python, C#, Node.js, Go, LLM APIs, Git, CI/CD, Tauri, WebView, WebRTC, COM, PowerShell, Microsoft Graph, Microsoft Intune, Azure, ADMX, Group Policy, HP WXP
Docker: Provides a platform for building, sharing, and running containerized applications.
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.
Voxel: AI platform for real-time industrial workplace safety monitoring.
4+ YOE4+ years in software; strong Python; ML data training/evaluation knowledge; data mining, labeling, storage; end-to-end data product ownership; good communication.
Python, Data Mining, Data Labeling, Data Storage and Retrieval, Cloud
OpenAI: Develops artificial intelligence models and generative AI software services.
7+ YOE7+ years of professional software engineering, experience with large-scale distributed systems or ML infrastructure, built ML workflows and data pipelines, low-latency, reliable systems, observability, and cross-functional collaboration.
MakerMaker: Small San Francis-based team building autonomous ML systems
6+ YOESenior ML engineer with 6+ years building production-grade ML systems; strong Python; distributed systems experience; familiar with Ray, Kubernetes, and experimentation infrastructure.
Mach9: AI-powered software that automates feature extraction from geospatial data.
Master's/PhD or equivalent experience; strong computer vision and deep learning background; experience productionizing ML models; knowledge of 3D geometry; proficiency in Python and production ML libraries.
ZooxNASDAQ: AMZN: Developing autonomous robotaxis for urban ride-hailing services.
2+ YOE2+ years ML infrastructure experience; experience with PyTorch/DeepSpeed/JAX/Ray and AWS; building scalable, reliable ML training and lifecycle tools; strong collaboration and systems design skills.
Adaption: Develops efficient AI systems that adapt in real-time.
4+ YOE4+ years ML or applied research experience, 2+ years customer-facing technical experience, strong software engineering skills, familiarity with PyTorch/JAX/TensorFlow, and excellent communication.
Ellipsis Health: AI-powered voice agent for healthcare care management.
5+ YOEBachelor's in CS/ML/Statistics/Engineering or equivalent; 5+ years software development (or 2+ post-PhD); advanced Python and distributed ML experience (PyTorch, JAX, TensorFlow); proven production LLM/agent deployments; technical leadership.
Epsilon Health: Provides AI-powered radiology diagnostic services and medical imaging software.
5+ YOE5+ years building production ML infrastructure and data pipelines, strong Python and PyTorch/JAX skills, distributed training and cloud experience, familiarity with data pipeline technologies and containerization.
Gridmatic: AI-powered platform for optimizing energy trading and battery storage.
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.
Liftoff: AI-powered performance marketing platform for the mobile app economy
6+ YOE6+ years industry experience, strong Python and Golang coding, solid CS fundamentals, experience building ML tooling/platforms for large-scale problems; Spark and startup experience a plus.
LyftNASDAQ: LYFT: Provides an on-demand ride-hailing and multimodal transportation platform.
3+ YOE3+ years machine learning experience; BS/MS/PhD or equivalent; experience with ML workflows, model development, data analysis, and production-quality code; able to work across distributed teams.
8+ YOEBachelor's degree or equivalent, 8+ years C++/Python programming, 5+ years launching software, 3+ years software design, experience with ML compilers, ML frameworks, and compiler optimization.
Waymo: Autonomous driving technology for ride-hailing and logistics.
4+ YOEBS in CS or equivalent, 4+ years backend development in Java/C++, Python ML experience with TensorFlow/PyTorch/Keras; building backend platforms and ML workflows.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years software engineering experience, advanced Python/Java, applied AI/ML and GenAI delivery, strong data engineering with Apache Spark/Airflow/Iceberg, SDLC and MLOps expertise, responsible AI practices.
BlackLineNASDAQ: BL: Provides cloud-based financial close and accounting automation software.
2+ YOE2+ years in Python/Java/Scala, experience building PySpark ETL, ML/LLM production pipelines, cloud (GCP/AWS/Azure), ML frameworks, orchestration, containerization, and observability.