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Machine Learning Defense Jobs in Santa Ana, CA (NOW HIRING)

... machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI ...

... machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI ...

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

In this role, you will apply advanced data analytics and machine learning techniques to explore ... Experience working with classified government data or in a defense-related environment

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

In this role, you will apply advanced data analytics and machine learning techniques to explore ... Experience working with classified government data or in a defense-related environment

Showing results 21-40

Machine Learning Defense information

See Santa Ana, CA salary details

$26.5K

$44.3K

$91.6K

How much do machine learning defense jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning defense in Santa Ana, CA is $44,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $47,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are popular job titles related to Machine Learning Defense jobs in Santa Ana, CA?

For Machine Learning Defense jobs in Santa Ana, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Santa Ana, CA look for?

The top searched job categories for Machine Learning Defense jobs in Santa Ana, CA are:

What cities near Santa Ana, CA are hiring for Machine Learning Defense jobs?

Cities near Santa Ana, CA with the most Machine Learning Defense job openings:

Senior Machine Learning Engineer, Sentry Tower

Anduril Industries

Irvine, CA • On-site

$129K - $171K/yr

Full-time

Re-posted 25 days ago


Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,399 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. The role involves owning the entire machine learning stack for the Counter Intrusion team, designing and training multi-sensor object detection models, and developing learning algorithms to optimize autonomous systems.
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 ML pipelines
• Train and deploy deep learning models for real-time applications
• Collaborate cross-functionally with camera, systems and labeling teams
• Curate datasets for evaluating performance and comparing performance trends over time
• Provide technical mentorship to other junior ML engineers
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
• 6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets
• Strong Deep Learning and CV background
• Proficiency in C++ development in a Linux environment
• Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow
• Experience deploying models with TensorRT and ONNX
• Optimize on-device inference and vision kernels across CPU/GPU/NPU
• Track record of developing and deploying CV models from R&D to production
• Experience writing and maintaining automated continuous integration tests
• Knowledge of system profiling and tuning for latency, memory and power efficiency
• Ability to conduct experiments, ablation studies and create highly detailed reports
• Eligible to obtain and maintain a U.S. Secret security clearance
Preferred:
• Experience in one or more of the following: Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Depth Estimation, Model Pruning and Compression
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Camera Models, RGB-D and LIDAR Sensor Fusion, Optical Flow
• Experience troubleshooting and analyzing remotely deployed software systems
• 1 year of experience in a technical leadership role
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

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.


What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Anduril Industries logo

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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