5 nlp engineer jobs at 4 companies in Pasadena, TX
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Daikin Comfort TechnologiesTokyo Stock Exchange: 6367: Manufactures and distributes residential and commercial HVAC systems.
3+ YOE3+ years AI/ML, software development, or data science experience. Proficiency with Azure OpenAI and Azure AI services, Python or Java, LLMs/NLP, MLOps, stakeholder engagement, and translating business needs to AI solutions.
Octave: Mission-critical software for industrial assets and public safety.
5+ YOE5+ years in data science/ML engineering, 3+ years building NLP/generative AI and MLOps; production experience with Python ML stack, LLMs, cloud (AWS), MLOps, evaluation frameworks, and strong communication skills.
Occidental PetroleumNYSE: OXY: Explores for and produces oil and gas resources.
PhD in engineering, computer science, data science, AI, or related field; strong Python; ML/NLP expertise; AWS and Terraform experience; LangChain/LangGraph; Hugging Face; RAG and multi-agent systems; cloud platforms; good communication.
Principal Data Scientist (AI) (Houston, TX, US, 77086)
Houston, Texas, United States
OnsiteFull Time
Octave: Mission-critical software for industrial assets and public safety.
7+ YOE7+ years in data science/ML engineering, 3+ years building NLP/generative AI and MLOps; hands-on with foundation models, RAG, vector DBs, model evaluation, production ML pipelines; Bachelor's/Master's in related field (PhD preferred).
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.