5 nlp engineer jobs at 4 companies in Angleton, 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.
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.
San Francisco or Atlanta or Austin or Boston or Chicago or Dallas or Denver or Houston or Jacksonville or Los Angeles or Miami or New York City or Phoenix or Portland or Sacramento or Salt Lake City or San Diego or Seattle or Washington, D.C. or Ottawa or Toronto or Vancouver or Mexico City
$128k-$235k/yrHybridFull Time
Scribd: Subscription-based digital library for e-books, audiobooks, and documents.
5+ YOE5+ years data engineering; AI/ML infra or LLM apps; Python and SQL; Databricks; NLP/LLM systems; governance and security focus; autonomous in ambiguous problems; strong communication.
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.