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Machine Learning Defense Jobs in California (NOW HIRING)

Machine Learning Engineer

El Segundo, CA ยท On-site

$125 - $150/hr

Job Number: R0244683 Machine Learning Engineer The Opportunity: As a programmer, you know that ... As an AI Solutions Engineer on our Defense Technology Group, you'll develop AI-native solutions ...

Machine Learning Engineer

Huntington Beach, CA ยท On-site

$120K - $185K/yr

Our customers are inventing what's next, in aerospace, defense, robotics, and beyond. To keep up ... We're looking for a Machine Learning Engineer to train custom models using our internal data. This ...

Machine Learning Engineer

Huntington Beach, CA ยท On-site

$120K - $185K/yr

Our customers are inventing what's next, in aerospace, defense, robotics, and beyond. To keep up ... We're looking for a Machine Learning Engineer to train custom models using our internal data. This ...

Machine Learning Engineer

Huntington Beach, CA ยท On-site

$120K - $185K/yr

Our customers are inventing what's next, in aerospace, defense, robotics, and beyond. To keep up ... We're looking for a Machine Learning Engineer to train custom models using our internal data. This ...

Showing results 21-40

Machine Learning Defense information

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 California?

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

What job categories do people searching Machine Learning Defense jobs in California look for?

The top searched job categories for Machine Learning Defense jobs in California are:

What cities in California are hiring for Machine Learning Defense jobs?

Cities in California with the most Machine Learning Defense job openings:

Infographic showing various Machine Learning Defense job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Machine Learning Engineer

El Segundo, CA โ€ข On-site

Phase2 Technology
Software Developmentย โ€ขย 51 - 200 employees

$125 - $150/hr

Other

Medical, Life, Retirement, PTO

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Job Number: R0244683

Machine Learning Engineer

The Opportunity:

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to solve problems to support the U.S. Space Force under the U.S. Department of War. As an AI Solutions Engineer on our Defense Technology Group, you'll develop AI-native solutions incorporating multiple disciplines spanning across software development, platform integration, and cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows, and accelerating the missions with AI tools.

In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit AI technologies and emerging AI-native processes or workflows. You'll grow within a talented team of machine learning engineers across the company and collaborate with full-stack software engineers, data scientists, solutions architects, and defense mission experts to deliver world-class solutions to deliver new software capabilities to our customers with high velocity. Your skills and technical experience will help your clients navigate the landscape of Agentic workflows, AI/ML algorithms, full-stack development, DevSecOps, tools, and frameworks.

Work with us to solve real-world challenges and define AI strategy for the U.S. Space Force.

Join us. The world can't wait.

You Have:

  • 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models

  • Experience with developing code using a common programming language, including Python

  • Experience with deep learning, computer vision, or generative AI

  • Experience with data handling and model development

  • Experience with leveraging AI productivity tools for coding, such as Cursor

  • Experience with the Agile software development lifecycle and full-stack web application development

  • Knowledge of JavaScript or TypeScript, Python, and HTML or CSS

  • Ability to solve complex and critical problems, iterate rapidly, and deliver results in both team and individual capacities

  • Secret clearance

  • Bachelor's degree

Nice If You Have:

  • Experience with integration of LLMs and Agentic Workflows within software stacks

  • Experience with Rust, or Java

  • Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch

  • Knowledge of AWS, Azure, GCP, Databricks, and Palantir Foundry

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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