419 software engineer ml jobs at 233 companies in Vacaville, CA
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Senior Software Engineer, ML Data
San Francisco, California, United States
$200k-$240k/yrHybridFull Time
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
Gap Inc.NYSE: GAP: Global specialty retailer of apparel and accessories.
10+ YOE10+ years building production ML systems; strong Python and software engineering; experience with ML frameworks, model serving, MLOps, cloud platforms, and distributed data processing.
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.
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.
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.
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.
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.
Remy: AI ideation agents that help product teams design software.
5+ YOE5+ years software/ML engineering experience, 2+ years building generative AI products, strong TypeScript and Python skills, product instincts, full AI lifecycle experience, and strong communication.
San Francisco or New York City or London or Sydney
$240k-$270k/yrOnsiteFull Time
Sigma Computing: Cloud-native analytics platform featuring a spreadsheet-style interface.
10+ YOEBachelor's in CS/Engineering/Math required; 10+ years building and deploying production-grade ML systems; deep ML/DL knowledge; full ML lifecycle experience; experience adapting/training foundation models.
Staff Software Engineer / Tech Lead, ML Infrastructure
San Francisco, California, United States
$190k-$250k/yrHybridFull Time
HeartFlowNASDAQ: HTFL: Provides AI-driven non-invasive cardiac diagnostic software and analysis.
8+ YOE8+ years software engineering experience in ML infrastructure or distributed systems; strong Python; experience with cloud (AWS/GCP/Azure), infra-as-code (CDK, Terraform), Ray, Kubernetes, and Apache Iceberg; mentoring and technical leadership experience.
Livingston or New York City or San Francisco or Sunnyvale or Bellevue
$182k-$242k/yrOnsiteFull Time
CoreWeaveNASDAQ: CRWV: Specialized cloud infrastructure provider for high-performance AI workloads.
Experienced front-end engineer with strong JavaScript/TypeScript and React skills, visualization and performance engineering experience for large datasets, familiarity with Canvas/WebGL or charting libraries, and strong communication and collaboration skills. Export-control eligibility (US person or eligible) required.
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