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Machine Learning Defense Jobs in California (NOW HIRING)

Voltai

Machine Learning Engineer

Palo Alto, CA · On-site

... Defense, National Security Advisor, and Senior Foreign‑Policy Advisor to four US presidents. What we're Looking For * Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics ...

Voltai, Inc

Machine Learning Engineer

Palo Alto, CA · On-site

... of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents. What we're Looking For * Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics ...

Voltai

Machine Learning Engineer

Palo Alto, CA · On-site

... of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents. What we're Looking For * Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics ...

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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:

Machine Learning Defense jobs near you
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.

Data Scientist / Machine Learning Engineer

San Diego, CA • On-site

TransMedics, Inc.
Medical Equipment and Supplies Manufacturing • 501 - 1,000 employees
Learn more about TransMedics, Inc.external

Other

Medical, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Data Scientist / Machine Learning Engineer

Data Scientist / Machine Learning Engineer

About TRABUS Technologies

TRABUS Technologies (TRABUS) is a minority-owned, Service-Disabled Veteran-Owned Small Business (SDVOSB) headquartered in San Diego, California. Since 2010, TRABUS has provided advanced wireless technology solutions, cybersecurity expertise, artificial intelligence capabilities, and engineering support to federal and commercial clients.

Recognized on the Inc. 5000 list for seven consecutive years, TRABUS is a dynamic, forward-leaning organization committed to solving complex, real-world challenges and delivering mission-ready solutions that meet and exceed customer expectations.

Position Overview

TRABUS Technologies is seeking a highly motivated Data Scientist / Machine Learning Engineer to join our growing Artificial Intelligence and Data Science team.

In this role, you will combine machine learning, data science, and software engineering skills to support a variety of AI-based projects, including resource planning for ship maintenance, marine transportation, and climate and environmental informatics.

The successful candidate will develop machine learning models that provide predictive insights and analytics for robust, web-based, full-stack AI applications supporting both government customers — including the Department of Defense (DoD), Department of Transportation (DoT), and National Oceanic and Atmospheric Administration (NOAA) — and commercial customers.

Key Responsibilities
  • Develop code to extract, clean, transform, and preprocess training datasets from disparate data formats, sources, and APIs.
  • Research, evaluate, select, and develop appropriate Machine Learning (ML) and Deep Learning (DL) algorithms and models.
  • Apply AI/ML techniques across diverse data domains, including Navy, transportation, environmental sciences, healthcare, and public safety.
  • Collaborate with the TRABUS Data Science team to develop scalable AI solutions incorporating technologies such as:
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Computer Vision
  • Natural Language Processing (NLP)
  • Work alongside AI/ML and DevOps engineers to develop automated AI workflows that continuously generate predictions and inferences.
  • Develop validation and testing routines to measure model performance and evaluate the quality and accuracy of predictions.
  • Analyze large datasets and data streams to identify patterns, trends, and actionable insights.
  • Support the integration of machine learning models into web-based and full-stack AI applications.
  • Collaborate with technical teams throughout the development, testing, integration, and deployment lifecycle.
Required Qualifications
  • Minimum of 2 years of programming experience using Python.
  • Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science.
  • Knowledge and experience with Python data science and machine learning libraries such as:
  • TensorFlow
  • PyTorch
  • Strong Python programming skills with the ability to process and analyze large datasets and data streams.
  • Understanding of databases, data structures, and API-based ETL operations.
  • Strong working knowledge of Linux or Unix-based operating systems.
  • Familiarity with Python web frameworks such as FastAPI, Django, and Flask.
  • Experience working with Git repositories and version control.
  • Ability to work collaboratively within multidisciplinary technical teams.
  • U.S. Citizenship is required.
  • Must be able to obtain and maintain a final DoD-adjudicated Secret security clearance.
Desired Qualifications
  • Current DoD-adjudicated Secret security clearance.
  • Strong knowledge of DevOps tools, processes, and best practices.
  • Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Familiarity with Agile software development methodologies.
  • Experience working within Agile development environments.
  • Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Proficiency with Microsoft Office applications.
  • Strong written and verbal communication skills.
  • Strong attention to detail and commitment to procedural compliance.
  • Ability to manage multiple responsibilities and priorities while meeting established deadlines.
Education
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, or another related STEM discipline.
  • Master's degree preferred.
Benefits

TRABUS Technologies offers a competitive compensation package and comprehensive employee benefits, including:

  • Paid Time Off (PTO)
  • Paid Holidays
  • Health Insurance
  • Vision Insurance
  • Flexible Spending Account (FSA)
  • 401(k)
  • Life and AD&D Insurance
Equal Employment Opportunity

TRABUS Technologies is an Equal Employment Opportunity Employer. We are committed to the principles of equal employment opportunity and will not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local discrimination laws.

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