16 applied ml engineer jobs at 13 companies in Bonsall, CA
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Applied AI Engineer
San Diego, California, United States
$122k-$218k/yrHybridFull Time
ICW Group: Provides workers' compensation and specialty property and casualty insurance.
3+ YOEBachelor's in a technical discipline, 3+ years AI/ML engineering (1–2 years in generative AI/LLMs), cloud model deployment experience (preferably AWS), Snowflake feature engineering, Python and ML framework proficiency, MLOps and containerization experience.
HologicNASDAQ: HOLX: Develops medical technology for women's healthcare and diagnostics.
5+ YOEBachelor's or equivalent experience; 5+ years software/ML/solutions engineering with 2+ years building AI/ML/automation; strong programming (Python, JavaScript/TypeScript, C#); Azure and LLM/RAG experience; stakeholder communication.
Azure OpenAI, Claude, Microsoft Copilot, Python, JavaScript, TypeScript, C#, Power Automate, Logic Apps, Power Platform, LangGraph, Semantic Kernel, Model Context Protocol (MCP), Azure
Senior Principal Engineer – Applied ML/AI Algorithms R&D for Advanced Patient Monitoring
Irvine, California, United States
$130k-$207k/yrOnsiteFull Time
BDNYSE: BDX: Manufactures medical devices, surgical instruments, and pharmacy automation systems.
4+ YOEPhD+4 or MS+7 or BS+8 in AI/ML/data science/software engineering; experience productionizing ML/LLM models, MLOps, mentoring engineers, building scalable experimentation and working in regulated healthcare environments.
HologicNASDAQ: HOLX: Develops medical technology for women's healthcare and diagnostics.
5+ YOE5+ years engineering experience with 2+ years building AI/ML or automation solutions; strong programming (Python, JavaScript/TypeScript, C#); Azure and modern LLM experience; stakeholder communication and production deployment track record.
Azure OpenAI, Azure, Claude, Microsoft Copilot, Python, JavaScript/TypeScript, C#, Power Automate, Logic Apps, LangGraph, Semantic Kernel, Model Context Protocol (MCP), OpenAI, Gemini, Microsoft Power Platform
Principal Engineer – Applied ML/AI Algorithms R&D for Advanced Patient Monitoring
Irvine, California, United States
$130k-$207k/yrOnsiteFull Time
BDNYSE: BDX: Manufactures medical devices, surgical instruments, and pharmacy automation systems.
PhD/MS/BS with corresponding experience; demonstrated experience developing and deploying applied AI/ML including LLMs, Python frameworks (TensorFlow, PyTorch), production ML practices, MLOps, and cross-functional execution in regulated environments.
AI/ML Driven ASIC Design and Implementation Automation Engineer
San Diego, California, United States
$148k-$203k/yrOnsiteFull Time
NXP SemiconductorsNASDAQ: NXPI: Designs and manufactures semiconductors for automotive and IoT applications.
5+ YOEBS or MS in CS/EE/CE, strong SW development background, 5+ years AI/ML experience applied to optimization, Python/C++ proficiency, Unix/Linux and revision-control experience, strong problem-solving and communication skills.
8+ YOEBachelor's degree or equivalent experience,8 years programming in Java/C++ and JavaScript/TypeScript,5 years testing/launching products,3 years software design,experience with LLM prompting and large-scale backend systems.
Java, C++, JavaScript, TypeScript, LLM prompting, F1, Tangle, One Platform
San Francisco or Los Angeles or Washington or San Diego or Seattle or London
$150k-$170k/yrHybridFull Time
CHAOS Industries: Develops advanced radar and sensing systems for modern defense.
2+ YOEBS/MS in a technical field, 2+ years of software development, strong Python, production systems, AI/ML integration, model evaluation, and familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment.
Qcells: Provider of solar modules, energy storage, and EPC services.
5+ YOEBachelor's or Master's in engineering,5+ years BESS/renewable/grid operations experience,knowledge of power systems,industrial protocols,Linux/SSH,Ansible,ability to apply LLMs/ML for automation and monitoring.
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
8+ YOE2+ MgmtLead a software team in perception pipelines; 8+ years in perception-related fields; 2+ years of leadership; MS in CS/ML/Robotics; experience deploying software to hardware; proficiency in C++/Python; defense domain experience.
Senior Program Manager, Applied Science | Irvine, CA
Irvine, California, United States
$115k-$213k/yrHybridFull Time
Blizzard EntertainmentNASDAQ: MSFT: Develops and publishes interactive video games and services.
8+ YOE8+ years program management for technical initiatives; Bachelor’s in CS/engineering/math/statistics; technical fluency in applied science/ML and LLM-based systems; strong communication and stakeholder management.
Paperless Parts: Cloud-based quoting software for custom part manufacturers.
8+ YOE8+ years in R&D/ML roles, technical degree in CS or applied math required, experience with ML lifecycle and MLOps (e.g., AWS SageMaker), strong communication and mentorship skills; US citizenship or green card required.
San Diego or Minneapolis or Washington or United States
$135k-$231k/yrRemoteFull Time
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
6+ YOE6+ years applying ML/AI to production-grade solutions, expertise in LLM/GenAI (RAG, prompt engineering), deep learning and tree-based methods, Python and modern ML frameworks, healthcare data experience, stakeholder collaboration.
Mutual of Omaha Mortgage: Provides residential mortgage lending and refinancing services to homeowners.
5+ YOERequires 5+ years in technical product management or applied AI/ML products, production AI ownership, prompt engineering, strong SQL, data analysis, REST APIs, Salesforce, and mortgage industry experience.
Databricks, Salesforce, Encompass, SQL, Microsoft SQL Server, SOQL, Bland AI, ElevenLabs, Twilio, Five9, REST, NIST AI RMF
Mutual of Omaha Mortgage: Provides residential mortgage lending and refinancing services to homeowners.
5+ YOE5+ years in technical product management or applied AI/ML product roles, 0-to-1 experience, prompt engineering, strong SQL/Databricks skills, Salesforce experience, mortgage domain knowledge, and ability to define KPIs and run evaluations.