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Machine Learning Object Detection Jobs in Los Angeles, CA

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding. * Train ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding. * Train ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding. * Train ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Los Angeles, CA

Machine Learning Object Detection information

See Los Angeles, CA salary details

$33.9K

$138.8K

$208.5K

How much do machine learning object detection jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning object detection in Los Angeles, CA is $138,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $167,000.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Machine Learning Object Detection jobs in Los Angeles, CA?

For Machine Learning Object Detection jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Object Detection jobs in Los Angeles, CA look for?

The top searched job categories for Machine Learning Object Detection jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Machine Learning Object Detection jobs?

Cities near Los Angeles, CA with the most Machine Learning Object Detection job openings:

Machine Learning Object Detection jobs near you
Infographic showing various Machine Learning Object Detection job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $138,750 per year, or $66.7 per hour.

Data Scientist - Computer Vision

Kanak Elite Services Inc

Santa Ana, CA • On-site

Contractor

Re-posted 16 days ago

Job description

Role: Data Scientist - Computer Vision

Location: Santa Clara, CA - Onsite

Need DOB, full physical address 


Description/Important details:

1. Solid knowledge of image processing: Filtering, Binary Morphology, Perspective / Affine transformation, Edge Detection

2. Machine Learning: Regression, Supervised and Unsupervised Learning,

3. Knowledge of HDR and Deep Learning object detection.

Thanks & Regards,

Technical Recruiter

Anjali Sonkar

Email : Anjali08@kanakits.com