17 machine learning developer jobs at 13 companies in Jersey Village, TX
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Sr Machine Learning Engineer
Thousand Oaks or Jacksonville or Houston
$156k-$211k/yrRemoteFull Time
AmgenNASDAQ: AMGN: Develops and manufactures biotechnology medicines for serious diseases.
Expertise in machine learning, MLOps and DevOps, Python and ML libraries (TensorFlow/PyTorch/Scikit-learn), cloud platforms (AWS/GCP/Azure), experience building ML pipelines, and advanced degree or extensive CS experience per listed qualification paths.
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.
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.
DowNYSE: DOW: Manufacturer of advanced chemicals, plastics, and specialty materials.
3+ YOE3+ years ML experience, Bachelor’s degree (or 8 years relevant experience), proficiency with Databricks and Azure, Python and ML frameworks, strong ML/MLOps skills, and legal ability to work in the U.S. without sponsorship.
Persona AI: Developing rugged humanoid robots for industrial labor automation.
Experience with robot learning, deep learning frameworks, cloud computing, software development, and strong problem-solving; interest in manipulation and deploying models in real-world robots.
The University of Texas MD Anderson Cancer Center: Comprehensive cancer treatment, medical research, and education center.
5+ YOEBachelor's in computing/math/engineering required; 5+ years ML/data science/engineering experience (3+ with Master's, 1+ with PhD). Expertise in Python, PyTorch, agentic AI frameworks, orchestration, Kubernetes, and enterprise AI governance in healthcare.
Principal AI & Machine Learning Engineer, Spring, Texas, Onsite
Spring, Texas, United States
$152k-$349k/yrOnsiteFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides global edge-to-cloud technology solutions and IT infrastructure services.
10+ YOE10+ years software engineering experience focused on AI/ML application development and deployment; Kubernetes, MLOps, cloud, Python, CI/CD experience; team leadership and AI governance knowledge.
Principal AI & Machine Learning Engineer, Spring, Texas, Onsite
Spring, Texas, United States
$152k-$349k/yrOnsiteFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
10+ YOE10+ years software engineering with AI/ML application development and deployment; expertise in Kubernetes, MLOps tools, cloud platforms, Python, CI/CD; Bachelor’s or Master’s in CS/Engineering/AI/ML or related.
Principal AI & Machine Learning Engineer, Spring, Texas, Onsite
Spring, Texas, United States
$152k-$349k/yrOnsiteFull Time
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
10+ YOE10+ years in software engineering focused on AI/ML application development and deployment; expertise with Kubernetes, MLOps, cloud platforms, Python and CI/CD; leadership and mentoring experience; Bachelor’s or Master’s in CS/Engineering/AI/related.
Senior Machine Learning Engineer - Agentic AI in United States, Texas, Houston, Houston (TX Med Ctr)
Houston, Texas, United States
$147k-$220k/yrRemoteFull Time
MD Anderson Cancer Center: Specialized institution providing oncological care, research, and education.
5+ YOEFive years of experience in machine learning or data engineering; healthcare/regulated environment experience preferred; expertise in agentic AI/platform design; strong Python and ML framework skills.
Bot Auto: Operates a fleet of autonomous trucks for freight transportation.
Advanced degree in CS/engineering/robotics/math/physics; deep expertise in machine learning and computer vision, transformers and SOTA techniques; familiarity with PyTorch and TensorFlow; independent and collaborative researcher.
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.
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
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.
Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research) (Houston, TX, US)
Houston, Texas, United States
OnsiteFull Time
Baylor College of Medicine: Private health sciences university providing medical education and research.
PhD in CS/engineering/data science, expertise in machine learning/deep learning/computer vision, track record of peer-reviewed publications, experience building large research datasets/platforms, and demonstrated leadership in research.
SLBNYSE: SLB: Global provider of technology and services for energy industry
PhD in Computer Science, Mathematics, or Machine Learning required; ability to work in field for minimum 14 days; experience with computational modeling and numerical experiments preferred.
Wood Mackenzie: Provides data and analytics for energy and natural resources.
Extensive oil market analysis experience, proven external profile, strong client relationships across the Americas, excellent communication and presentation skills, and familiarity with data-driven and machine-learning approaches.