6 junior machine learning engineer jobs at 5 companies in Pasadena, 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.
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
0+ YOE0–4 years ML or scientific computing experience; strong ML fundamentals and deep learning exposure; reinforcement learning a plus; proficiency in Python; ability to debug codebases and collaborate with process/chemistry experts.
Machine Learning/Deep Learning Engineer(PhD, New Grad)
Houston or San Francisco
OnsiteFull Time
Bot Auto: Operates a fleet of autonomous trucks for freight transportation.
Advanced degree (Master's or PhD) in a quantitative field, strong ML/deep learning and computer vision knowledge, proficiency in Python and deep learning frameworks, strong software engineering fundamentals.
Python, PyTorch, TensorFlow, TensorRT, ONNX, CUDA, C++
UTMB Health: Provides medical care, health education, and biomedical research services.
1+ YOEDoctorate in related field plus 1 year experience; skills in algorithm development, big data analytics, data engineering, statistical analysis, machine learning, network analysis, bioinformatics, writing and presentation.
2026-2027 Information Technology – Information Technology Intern (Previous Intern)
Houston, Texas, United States
$24-$38/hrOnsiteFull Time
ChevronNYSE: CVX: Global energy producing oil, gas, and petrochemicals.
Currently enrolled in a related bachelor’s or master’s program; coursework and experience in data acquisition, analysis, modeling, pipelines, or machine learning; must provide unofficial transcript; strong communication and software engineering skills.
University of Texas Medical Branch: Public academic health science center providing healthcare and education.
1+ YOEDoctorate (Ph.D./M.D./D.O./D.V.M.) and 1+ year related experience; expertise in algorithm development, big data analytics, data engineering, machine learning, statistical analysis, data visualization, bioinformatics; publication and staff training experience.
Strong Python and Docker skills, good understanding of data structures/algorithms and backend development; familiarity with APIs, databases, and machine learning workflows; strong problem-solving and collaboration skills.