5 applied ml engineer jobs at 4 companies in Houston, TX
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
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.
Occidental PetroleumNYSE: OXY: Explores for and produces oil and gas resources.
Master's in engineering/applied mathematics, strong optimization/control and ML knowledge, Python and Git proficiency, experience with system modeling and advanced control (MPC), strong communication and independent work skills.
RicohTokyo Stock Exchange: 7752: Provides office equipment, printing solutions, and IT services.
Advanced degree in geophysics/geoscience/petroleum engineering/computer science/electrical engineering/applied math; AI/ML integration and deployment experience; agentic AI systems in production; cloud AI infrastructure; domain knowledge in energy/geoscience.
GenAI, Model Ops, APIs, Cloud AI Infrastructure, Agent Workspace, FM Hub, Delfi, Lumi, AI Foundation
Bechtel: Designs and constructs large-scale industrial and infrastructure projects.
5+ YOEDesign and maintain scalable data pipelines, manage data ingestion and integration, optimize SQL data models, support Azure Databricks/Delta Lake and Power BI, and enable applied AI/ML; bachelor's degree and 5+ years relevant experience required.
Python, Scala, SQL, MSSQL, PL/SQL, Azure Databricks, Delta Lake, Power BI
Postdoctoral Researcher - Optimization with Embedded Machine Learning Surrogates
Spring, Texas, United States
OnsiteFull Time
ExxonMobilNYSE: XOM: Produces and distributes oil, natural gas, and petrochemical products.
Ph.D. in operations research, industrial engineering, applied mathematics or related; strong optimization and ML background; Python and solver experience; research record and collaboration skills.
ExxonMobilNYSE: XOM: Produces and distributes oil, natural gas, and petrochemical products.
PhD in Engineering/Applied Math/Geoscience/Computational Science; experience in physics-based and data-driven modeling; deep learning; ML frameworks; Python/C++; HPC; strong communication.