9 deep learning engineer jobs at 6 companies in South Houston, TX

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Senior Algorithm Engineer, Deep Learning & Vision
Houston or San Francisco
OnsiteFull Time
Bot Auto
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.
PyTorch, TensorFlow, TensorRT
1mo
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Intern, Deep Learning Engineer
Houston, Texas, United States
OnsiteInternship, Full Time
Bot Auto
Bot Auto: Operates a fleet of autonomous trucks for freight transportation.
Current MS or PhD candidate in CS/Robotics or related, proficient in Python and PyTorch, solid understanding of modern AI architectures (Transformers), available full-time for 3+ months.
Python, PyTorch, Transformers, Linux, Git, C++, TensorRT, ONNX
1mo
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Deep Learning - Robot Manipulation Engineer
Houston, Texas, United States
OnsiteFull Time
Persona AI
Persona AI: Developing rugged humanoid robots for industrial labor automation.
3+ YOEMSc/PhD in Robotics/CS, 3+ years applying deep learning to robotic manipulation, strong software skills, experience with large-scale data and cloud, strong research and engineering ability.
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Algorithm Engineer, Deep Learning & Vision (New Grad)
Houston or San Francisco
OnsiteFull Time
Bot Auto
Bot Auto: Operates a fleet of autonomous trucks for freight transportation.
Experience training neural networks, strong ML/deep learning foundation, proficiency in Python and PyTorch, knowledge of modern architectures (Transformers,CNNs,Graph-based), and strong software engineering fundamentals.
Python, PyTorch, TensorRT, ONNX, CUDA, C++, Transformers, CNNs, Graph
2mo
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Machine Learning Engineer
Ann Arbor or San Francisco or Houston
$120k-$160k/yr OnsiteFull Time
Mariana Minerals
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.
Python
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Senior Specialist - Data Sciences
Houston, Texas, United States
$81k-$147k/yr OnsiteFull Time
LTIMindtree
LTIMindtreeNational Stock Exchange of India: LTIM: Global technology consulting and digital solutions.
3+ YOERequires 3–5 years in AI or machine learning engineering, Python data science, deep learning frameworks, cloud ML deployment, generative AI, LLMs, data analysis, APIs, and Docker.
LangChain, LlamaIndex, Python, Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, AWS, Microsoft Azure, GCP, Docker, FastAPI, Flask
1mo
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AI and ML Solution Architect
Spring, Texas, United States
$137k-$315k/yr HybridFull Time
Hewlett Packard Enterprise
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
7+ YOEBachelor's or master's in CS/engineering/data science, typically 7+ years experience, strong ML/deep learning knowledge, proficiency in Python/R/Java, TensorFlow/PyTorch, Git, and excellent communication and leadership skills.
Python, R, Java, Git, TensorFlow, PyTorch, sci-kit, Keras
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AI and ML Solution Architect
Spring, Texas, United States
$137k-$315k/yr HybridFull Time
Hewlett Packard Enterprise
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
7+ YOE7+ years experience developing and deploying AI/ML solutions; strong ML and deep learning expertise; proficiency in Python/R/Java and ML frameworks; BS/MS in CS/data science/engineering or related field.
TensorFlow, PyTorch, sci-kit, Keras, Python, R, Java, Git
2mo
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Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research) (Houston, TX, US)
Houston, Texas, United States
OnsiteFull Time
Baylor College of Medicine
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.