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Machine Learning Defense Jobs in Compton, CA (NOW HIRING)

Deloitte

Cyber - SecOps - Consultant

Los Angeles, CA · On-site

... 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 ...

Keysight Technologies, Inc.

R&D Engineer

Calabasas, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do ... Responsibilities Role Overview This role sits at the intersection of machine learning, data ...

Socket.dev

Senior Engagement Engineer

Los Angeles, CA · On-site

$180 - $220/hr

... defense background. Any branch, any service component. * Bachelor's degree in engineering, any discipline, or in a hard science such as physics. * Hands-on depth in applied machine learning ...

New

CX2

Signal Processing Engineer

El Segundo, CA · On-site

$140K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

CX2 is a next-generation defense technology company founded to deliver spectrum dominance for the ... RF machine learning for emitter ID, modulation/classification, anomaly detection, PDW creation

CX2

RF Hardware Engineer

El Segundo, CA

$160K - $200K/yr

CX2 is a next-generation defense technology company founded to deliver spectrum dominance for the ... Track and insert advances in relevant technologies, SDRs, RF Systems, RF machine learning, and PNT.

CX2

RF Hardware Engineer

El Segundo, CA

$160K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

CX2 is a next-generation defense technology company founded to deliver spectrum dominance for the ... Track and insert advances in relevant technologies, SDRs, RF Systems, RF machine learning, and PNT.

CX2

RF Hardware Engineer

El Segundo, CA · On-site

$160K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

CX2 is a next-generation defense technology company founded to deliver spectrum dominance for the ... Track and insert advances in relevant technologies, SDRs, RF Systems, RF machine learning, and PNT.

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Showing results 41-60

All JobsMachine Learning Defense JobsMachine Learning Defense Jobs in Compton, CA

Machine Learning Defense information

See Compton, CA salary details

$25.9K

$43.2K

$89.4K

How much do machine learning defense jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning defense in Compton, CA is $43,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Machine Learning Defense jobs in Compton, CA?

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

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

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

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

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

Machine Learning Defense jobs near you

Machine Learning Engineer - Advanced AI and Cognitive Systems

HRL Laboratories

Calabasas, CA • On-site

$140K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

HRL Laboratories pioneers the next frontiers of physical and information science. Delivering transformative technologies in automotive, aerospace and defense, HRL advances the critical missions of its customers to help them remove limitations and create competitive advantage. HRL then transitions the work back to customers - ready for real-world application. For more than 70 years, HRL's rich portfolio of scientific discoveries and engineering innovations continues to build on each other - often in unexpected, profound and far-reaching ways. As a private company owned jointly by Boeing and GM, HRL prioritizes purpose over profit, significantly advancing the state of the art.

HRL Laboratories develops robust intelligent systems that deliver adaptable, autonomous performance improvement solutions for complex missions. Our teams advance human-machine synergy, operationalized machine learning models and complex systems analytics and agents to create scalable, secure technologies. We design novel algorithms and mission-ready solutions that strengthen decision making for autonomous and human-guided systems across national security and commercial applications.

Position Summary:

Join a research team advancing next generation intelligent systems. This role focuses on machine learning, multimodal AI, cognitive state sensing, and cognitive modeling. You will help develop adaptive software prototypes for mission driven R&D programs.

Essential Duties:

Lead and contribute to research, engineering, and software development efforts in the following areas:
   Build AI models that integrate neurophysiological, behavioral, and sensor data for cognitive aware decision support
   Develop algorithms for cognitive state estimation and user modeling
   Apply cognitive science to improve explainability, trust, and human AI collaboration
   Contribute to proposals, publications, invention disclosures, and customer briefings
   Demonstrate prototypes and support capability outreach

Required Qualifications:

Candidates should have experience in one or more of the following areas:
   Human Machine Interaction: Cognitive architectures, neurophysiological sensing, behavioral analytics, human subjects methods
   Cognitive Modeling: Cognitive state estimation and computational models.
   LLMs & Multimodal AI: Transformers, prompt design, fine tuning, RAG, with emphasis on integrating human state and environmental context.
   Software Engineering: Scalable systems, APIs, Docker, and containerized environments (Docker, Kubernetes).
   Machine Learning & AI: Supervised/unsupervised learning, RL; PyTorch/TensorFlow/JAX.
   Data Analytics: Feature engineering, statistical modeling in Python.
   MS or Ph.D. in Applied Math, Cognitive Science, or related fields.
   3-5 years of applied ML/AI experience.
   Experience with government funded R&D programs (DARPA/IARPA/ARPA H) is a plus.
   Strong interdisciplinary communication and collaboration skills.
   Ability to work in fast paced, exploratory research environments.
   Curiosity driven mindset with a passion for solving complex problems.

Special Requirements:

   U.S. Citizenship with the ability to obtain and maintain a U.S. Government Security Clearance

Compensation and Benefits:

   Pay Range: $140,700 - $175,950
   Our salary ranges are determined by role, level, and location (California). The range
displayed on each job posting reflects the target range for new hire salaries for the position.
Within the range, individual pay is determined by work location and additional factors,
including job-related skills, experience, and relevant education or training. Your recruiter
can share more about the specific salary range during the hiring process.

    Benefits: HRL offers a generous and very competitive total compensation and benefits
package. Our Regular/Full Time benefits include medical, dental, vision, life insurance,
401K match, gym facilities, PTO, Sick time, upward mobility, and an exciting and
challenging work environment.
   For more information about our company benefit offerings please visit:
https://www.hrl.com/careers/benefits
Non-Discrimination and Equal Employment Opportunities (U.S.)
 
Don't meet every single requirement? Studies have shown that some people are less likely to apply
to jobs unless they meet every single desired qualification. At HRL, we are dedicated to building a
diverse, inclusive, and authentic workplace, so if you're excited about this role but your past
experience doesn't align perfectly with every qualification in the job description, we encourage you
to apply anyway. You may be just the right candidate for this or other roles.
 
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform
pre-employment substance abuse testing.
If you would like more information about Equal Employment Opportunity as an applicant under the
law, please go to Employees & Job Applicants | U.S. Equal Employment Opportunity Commission
For our privacy policy please visit: www.hrl.com/privacy
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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