9 nlp engineer jobs at 9 companies in Riverside, CA
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Staff Software Engineer, Data Extraction
Santa Monica or Los Angeles or New York City
$210k-$240k/yrRemoteFull Time
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
8+ YOE8+ years building backend systems; experience with healthcare data standards (HL7, FHIR, CDA, EHR integrations); strong Python and SQL skills; experience with unstructured data, NLP, document processing, and large-scale data pipelines.
Sunnyvale or Los Angeles or Bellevue or Menlo Park or Seattle or Burlingame or New York City or San Francisco or Chicago or Mountain View
$184k-$257k/yrOnsiteFull Time
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
8+ YOE8+ years programming experience (or 4+ with PhD), bachelor's in CS/CE or equivalent, demonstrated technical leadership, data-driven problem solving; preferred ML, NLP, and responsible AI experience.
Machine Learning Engineer, Monetization Data Alignment
Singapore or Los Angeles or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
OnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
3+ YOE3+ years ML experience, BS or above in CS/AI/math/stat, strong ML/deep learning background, experience taking models to production, expertise in LLM/MLLM/NLP/CV/multimodal techniques, strong problem solving and collaboration skills.
Hyundai America Technical CenterKorea Exchange: 005380: Designs and engineers vehicles for the North American market.
8+ YOE3+ MgmtBachelor's degree in quantitative field, 8+ years analytics/data science experience, 3+ years leading teams, expertise in Python/SQL, NLP/GenAI, statistical modeling, visualization and data engineering tools; strong communication and executive storytelling.
Python, SQL, Azure AI, OpenAI, Claude, Tableau, Microsoft Power BI, Alteryx, MS Fabric
10+ YOE10+ years building AI/ML/NLP solutions, 5+ years building applied AI/LLM systems in production; Bachelor's required (Master's preferred); strong Python and software engineering skills; experience with data, retrieval, and production architectures.
2+ YOE2–5+ years of data science experience; Bachelor's in CS/DS/Engineering/Math; production ML deployment; cloud platforms (Azure/AWS); Python and SQL; strong communication.
12+ YOE5+ MgmtML/AI leadership with deep learning, NLP, MLOps, cloud data platforms (Azure, AWS, GCP), Python/TensorFlow/PyTorch, OpenAI/GPT models, big data tech, AI governance and compliance; 12+ years in AI/data/ML with 5+ years leading teams; experience deploying AI at scale.