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Machine Learning Object Detection Jobs in Texas (NOW HIRING)

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 ...

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

$132.10K - $244.60K/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

$132.10K - $244.60K/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

$132.10K - $244.60K/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 ...

PayPal

Machine Learning Engineer

Austin, TX

This job will validate and develop machine learning models and algorithms to solve complex problems ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...

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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 Computer Vision Machine Learning Engineer, Apple Wallet

Senior Computer Vision Machine Learning Engineer, Apple Wallet

Apple

Austin, TX • On-site

$121.40K - $160.10K/yr

Full-time

Posted 7 hours ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple-from other ML teams to Operations to Engineering-with strong leadership support and investment in our mission-critical work...We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security
You will work on cutting edge computer vision technology in the field of facial recognition and adversarial object detection. You'll contribute to computer vision initiatives that directly protect users from fraud and identity theft, combining applied research with production deployment. This role offers the unique opportunity to see your work from methodology through implementation, with the autonomy to make meaningful technical decisions in a supportive, high-visibility environment.
Strong foundation in computer vision techniques and machine learningProven mentorship experience with demonstrated positive outcomesClear technical communication skills across a range of audiencesStrong programming abilities in Python plus at least one additional language5+ years of relevant experience in Computer Vision Machine Learning
PyTorch, TorchVision or similar expertise in vision-specific libraries and toolkitsBackground in security/security engineering, fraud detection, or edge ML deploymentReal-time decisioning systemsFace recognition or biometric security applicationsM.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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