21 ml framework engineer jobs at 9 companies in Del Mar, CA
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Sr. AI/ML Engineer - Life Science
San Diego, California, United States
$99k-$199k/yrRemoteFull Time
AbbottNYSE: ABT: Provides medical devices, diagnostics, and science-based nutritional products.
5+ YOEPh.D. or Master\u0002s+4yrs in quantitative field,5+ years ML/statistics experience,expertise in deep learning,LLMs,NLP/computer vision,Python and ML frameworks,excellent communication and leadership.
AbbottNYSE: ABT: Manufactures medical devices, diagnostics, and nutritional health products.
5+ YOEPhD or Master's plus experience in quantitative field,5+ years experience in statistics/computational biology and AI/ML,expertise in deep learning, NLP/computer vision,LLMs,Python and ML frameworks;US work authorization 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
Lead AI/ML Engineer (GenAI & Agentic Systems)-iCloud
San Diego, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Technical leadership in GenAI/agentic systems for large-scale cloud infrastructure; experience with LLMs, RAG, automation, evaluation/orchestration frameworks, and cross-team collaboration.
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
6+ YOEBachelor's in engineering/CS/IS with 6+ years (or Master's 4+, PhD) systems engineering experience; strong Python and ML framework skills; ML deployment, profiling, and distributed systems experience.
Samsung ElectronicsKorea Exchange: 005930: Develops and manufactures consumer electronics, semiconductors, and mobile devices.
2+ YOEExperience in GPU architecture and performance modeling for AI/ML, proficiency in C/C++/Python, familiarity with ML frameworks and architecture simulation tools; bachelor's or master's in CS/EE/CE with required years of experience.
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.
Oakland or Washington or Ohio or District of Columbia or California or Long Beach or Arizona or Colorado or Connecticut or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or San Diego or Woodland Hills or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$182k-$273k/yrHybridFull Time
Ascendiun: Nonprofit parent overseeing health insurance and clinical service organizations.
8+ YOEAdvanced experience in applied AI/ML and software development, strong Python engineering, hands-on with deep learning and LLM frameworks, experience building production AI applications and leading ML design.
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.