5 ai ml engineer jobs at 3 companies in Lompoc, CA

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AI/ML Software Engineer
Goleta, California, United States
$120k-$200k/yr OnsiteFull Time
Toyon Research
Toyon Research: Develops advanced technology and analysis for national defense systems.
2+ YOEU.S. citizenship and ability to obtain DoD clearance, advanced degree or BSc+2 years in engineering/computer science/physics/math, experience with Python or C++, and knowledge of AI/ML techniques.
Python, C++
1mo
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Full-Stack AI Engineer
San Jose or Santa Barbara
$150k-$350k/yr OnsiteFull Time
Alpha Design AI
Alpha Design AI: AI-native EDA platform for semiconductor design and verification.
BS/MS in Computer Science or related, experience building full-stack software and ML workflows, familiarity with Python, PyTorch, LLMs, TypeScript/JavaScript, strong communication and customer-facing skills.
Python, PyTorch, LLMs, TypeScript, JavaScript
2mo
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Sr. Machine Learning Engineer
Santa Barbara or Dallas or San Diego or San Francisco or Denver or Atlanta or Chicago or Washington, DC
$167k-$209k/yr HybridFull Time
AppFolio
AppFolioNASDAQ: APPF: Provides cloud-based property and investment management software.
Senior ML engineer with production ML/AI experience, distributed systems, and strong software engineering skills.
Python, Go, Ruby, JavaScript, AWS
3mo
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Principal Machine Learning Engineer
Santa Barbara or San Diego or Denver
$264k-$330k/yr HybridFull Time
AppFolio
AppFolioNASDAQ: APPF: Provides cloud-based property and investment management software.
10+ YOESenior ML/AI leader with 10+ years building production ML systems; deep learning and traditional ML expertise; strong software delivery.
Python, PyTorch, NumPy, AWS, Docker, SQL, Embeddings, RAG, LangChain, LangGraph, LangSmith, Copilot
1mo
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Staff Machine Learning Engineer - Leasing
Santa Barbara or San Diego or San Francisco or Denver or Dallas or Atlanta or Chicago or Washington, D.C.
HybridFull Time
AppFolio
AppFolioNASDAQ: APPF: Provides cloud-based property and investment management software.
Proven experience building production ML systems at scale, architectural leadership, training/fine-tuning LLMs, experience with LangChain/LangGraph and RAG patterns, AI safety/authorization, and production reliability discipline.
LangChain, LangGraph, vLLM, TensorRT, Triton