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Machine Learning Object Detection Jobs in California

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

... Train machine learning and deep learning models on a computing cluster to carry out visual ... with object detection and classification using point cloud data from radar or lidar • Strong ...

... object detection, image processing, denoising, segmentation and metrology. * - Research, develop and employ machine learning algorithms for solving difficult and exciting challenges. * - Engineer ...

Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with ... detection, and latency benchmarking in production environments.

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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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 California? For Machine Learning Object Detection jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in California look for? The top searched job categories for Machine Learning Object Detection jobs in California are:
What cities in California are hiring for Machine Learning Object Detection jobs? Cities in California with the most Machine Learning Object Detection job openings:
Software Engineer, Perception

Software Engineer, Perception

Anduril Industries

Costa Mesa, CA • On-site

Full-time

Posted yesterday


Anduril rating

9.4

Company rating: 9.4 out of 10

Anduril

Based on 7 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 71,359 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. They are seeking Software Engineers specializing in Computer Vision and Machine Learning Engineering to solve perception problems for UAVs, leveraging cutting-edge research and expertise in Object Detection and Object Tracking.
Responsibilities:
• Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field.
• Develop and maintain core libraries and runtime applications.
• Integrate classical and geometric methods in computer vision with ML methods.
• Work with ML and Data Infra team to construct various benchmarks for analyzing system performance.
Qualifications:
Required:
• MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision.
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field.
• 2+ years experience developing and benchmarking ML algorithms on large-scale datasets.
• High proficiency in C++ development in a Linux environment.
• Experience deploying models with TensorRT and ONNX.
• Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow.
• Experience writing and maintaining automated continuous integration tests.
• Experience in one or more of the following: Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection.
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion.
• Eligible to obtain and maintain an active U.S. Secret security clearance.
Preferred:
• Experience troubleshooting and analyzing remotely deployed software systems.
• Proficient in Python.
• Proficient in CUDA.
Company:
Anduril Industries is a defense technology company that specializes in developing advanced autonomous systems to enhance national security. Founded in 2017, the company is headquartered in Costa Mesa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Working at Anduril


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Benefits

Hours and flexibility

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About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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