3 applied machine learning engineer jobs at 3 companies in Conroe, TX

PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
HiringCafe
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.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
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.
Python, PyTorch, Elasticsearch, LLMs
4d
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Robotics Machine Learning Engineer
Pensacola or Houston
OnsiteFull Time
Persona AI
Persona AI: Developing rugged humanoid robots for industrial labor automation.
3+ YOE3+ years machine learning experience applied to robotics, proficiency with PyTorch/JAX/TensorFlow, cloud (AWS/Azure/GCP), strong software skills, and knowledge of robot learning and deployment.
Pytorch, JAX, TensorFlow, AWS, Azure, GCP
2d
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Postdoctoral Researcher - Optimization with Embedded Machine Learning Surrogates
Spring, Texas, United States
OnsiteFull Time
ExxonMobil
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.
Python, Gurobi, CPLEX, IPOPT, GurobiML, OMLT, NOMAD, SLSQP, Bayesian optimization
2mo
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Principal Data Scientist / AI Engineer
Houston, Texas, United States
$155k-$213k/yr HybridFull Time
Crown Castle
Crown CastleNYSE: CCI: Owns, operates, and leases shared communications infrastructure.
10+ YOE10+ years applying statistics, machine learning, and deployment; strong Python and DevOps; experience with LLMs, RAG, and enterprise environments.
Python, DevOps, Git, Machine Learning Libraries, LLM, RAG, Data Pipelines