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Machine Learning Object Detection Jobs in Texas (NOW HIRING)

AgileEngine

Senior Computer Vision Engineer

Dallas, TX · On-site

$103K - $142K/yr

... machine learning, and data science use cases -- building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model ...

New

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$54 - $71.25/hr

In this role, you will design, build, and deploy production-grade machine learning systems that ... Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX

$54 - $71.25/hr

In this role, you will design, build, and deploy production-grade machine learning systems that ... Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ...

Pyramid Consulting

COMPUTER VISION ENGINEER

Del Valle, TX · On-site

$123K - $145K/yr

... Science, Machine Learning, Deep Learning, and/or Artificial Intelligence techniques. * Significant, demonstrable experience with state-of-the-art, real-time Object Detection techniques ...

eStaffLLC

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

In this role, you will design, build, and deploy production-grade machine learning systems that ... Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection ...

Visa

Director, Machine Learning

Austin, TX · On-site

Leverage generative AI techniques to enhance fraud detection models, creating synthetic data for robust testing and model training. Incorporate generative AI into the machine learning strategy to ...

Visa

Director, Machine Learning

Austin, TX · Hybrid

Leverage generative AI techniques to enhance fraud detection models, creating synthetic data for robust testing and model training. Incorporate generative AI into the machine learning strategy to ...

Apple

Machine Learning Engineer

Austin, TX · On-site

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Texas

Machine Learning Object Detection information

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Texas? For Machine Learning Object Detection jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Texas look for? The top searched job categories for Machine Learning Object Detection jobs in Texas are:
What cities in Texas are hiring for Machine Learning Object Detection jobs? Cities in Texas with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you

Senior Machine Learning Engineer, Computer Vision, HD Map and SLAM

Bot Auto

Houston, TX

$99K - $137K/yr

Other

Posted 25 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

Key Responsibilities
  • Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. SLAM in localization and etc..
  • Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail.
  • Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components.
QualificationsRequired: 
  • Have an advanced degree (Ph.D or Master's) in related fields of study: computer science, computer engineering, robotics, mathematics, physics, and etc.
  • Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning.
  • Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools.
  • Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects.
Preferred: 
  • Have a proven track record of research publications in top conferences and/or journals as the first author.
  • Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.

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