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Machine Learning Defense Jobs in California (NOW HIRING)

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

Hadrian is building autonomous factories to revolutionize manufacturing for aerospace and defense industries. The Senior Machine Learning Engineer will be responsible for designing, building, and ...

Motorola

Machine Learning Engineer

Los Angeles, CA

... defense, law enforcement and public safety agencies around the world, and in the toughest ... THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

... defense, aerospace, and advanced mobility programs will run on. If you want to work on hard ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...

Hadrian Automation

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA

... defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture ... We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

... defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture ... Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

... defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture ... We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ...

Rivet Industries

Machine Learning Researcher

San Jose, CA · On-site

$150K - $290K/yr

... defense personnel. We create capabilities that multiply the effectiveness of every individual and ... Machine Learning Researcher Location: 2550 N First Street Suite 250, San Jose, California 95131 ...

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Machine Learning Defense information

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 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 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 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

Machine Learning Engineer

Hadrian

Los Angeles, CA • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:
Hadrian is building autonomous factories to revolutionize manufacturing for aerospace and defense industries. The Senior Machine Learning Engineer will be responsible for designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis, utilizing deep learning models and collaborating with engineering teams.
Responsibilities:
• Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis
• Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users
• Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation
• Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications
Qualifications:
Required:
• Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
• 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
• Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
Preferred:
• A Master’s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning
• Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
• Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
• Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
• Prior experience with distributed training using cloud infrastructure
• Prior experience with visual document understanding and layout analysis
• Published research or achieved SOA results on an ML application
• Prior experience with multi-modal deep learning models
• You have a passion for manufacturing and believe that the industry needs better software
• Prior experience working in a startup environment
Company:
Hadrian builds AI-powered automated factories that manufacture precision parts for defense, aerospace, and space industries. Founded in 2020, the company is headquartered in Hawthorne, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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