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Machine Learning Defense Jobs in Arizona (NOW HIRING)

KBR

Senior Operations Research Analyst

Sierra Vista, AZ · On-site +1

$103K - $103K/yr

... science,machine learning, andoperations researchto provide robust and flexible testing and ... Experience working in government / defense labs and within their computing restrictions.

New

Verra Mobility

Senior Cybersecurity Engineer

Mesa, AZ

$113K - $155K/yr

Implement security solutions that reinforce a defense-in-depth and zero-trust posture. * Contribute ... Knowledge of machine learning for anomaly detection or threat intelligence.

Raytheon Technologies

Software Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

Industry experience in defense? Not required - we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Phoenix, AZ

$96K - $132K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

RTX

Software Engineer II with Security Clearance

Tucson, AZ · On-site

$90K - $124K/yr

Industry experience in defense? Not required - we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Verra Mobility

Senior Cybersecurity Engineer

Mesa, AZ · On-site

$113K - $155K/yr

Responsibilities : • Implement security solutions that reinforce a defense-in-depth and zero ... Knowledge of machine learning for anomaly detection or threat intelligence. Company : Verra ...

RTX

Software Engineer II with Security Clearance

Tucson, AZ · On-site

$90K - $124K/yr

Industry experience in defense? Not required - we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon Technologies

Software Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

Industry experience in defense? Not required - we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Phoenix, AZ

$96K - $132K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon Technologies

Software Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

Industry experience in defense? Not required - we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

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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 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 Arizona? For Machine Learning Defense jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Arizona look for? The top searched job categories for Machine Learning Defense jobs in Arizona are:
What cities in Arizona are hiring for Machine Learning Defense jobs? Cities in Arizona with the most Machine Learning Defense job openings:
Machine Learning Defense jobs near you
Senior Digital Signal Processing Systems Engineer

Senior Digital Signal Processing Systems Engineer

General Dynamics Mission Systems, Inc

Scottsdale, AZ • On-site

$157K - $167K/yr

Full-time

Medical, Retirement

Re-posted 22 days ago

General Dynamics Mission Systems rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

122nd of 209 rated software companies

Job description

Basic Qualifications
Requires a Bachelor's degree in Systems Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 8+ years of job-related experience, or a Master's degree plus 6 years of job-related experience. Agile experience preferred.
CLEARANCE REQUIREMENTS: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
ROLE AND POSITION OBJECTIVES:
As a Senior Digital Signal Processing Engineer for Land & Air Systems, you will be part of a cross-functional team responsible for technology analysis and system engineering, leading towards revolutionary advancements in future military products related to tactical communications, and electronic warfare systems
Preferred Qualifications:
Statistical Signal Processing, Multi-rate Signal Processing, DSP for mitigating/processing RF effects. Exceptional candidates have work experience of algorithm development for the statistical analysis of signal parameter measurements utilizing techniques from Detection & Estimation Theory, Random Processes Analysis, and Communications and Information Theory
What sets you apart:
  • Highly proficient in algorithm development, waveform simulation, and optimization of floating-point and fixed-point computations.
  • Skilled in conducting research and applied R&D, focusing on the modeling and implementation of communications and electronic warfare (EW) systems
  • Extensive technical experience in the areas of linear and non-linear signal processing, channel estimation, equalization, OFDM, LPI/LPD waveform synthesis and analysis
  • Experience designing, implementing, and testing anti-jam systems with spatial beamforming-beam nulling. AJ implementation of GNSS and AltNav preferred
  • Adept at implementing artificial intelligence (AI) and machine learning (ML) solutions for signal detection and modulation
  • Strong presentation and communications skills with experience in the art of negotiation and the ability to meet challenging customer requirements
  • Creative thinker motivated to apply technical standards and methodologies to develop solutions
  • Identifies opportunities to apply AI for continuous improvement and innovation

Our Commitment to You:
  • An exciting career path with opportunities for continuous learning and development.
  • Research oriented work, alongside award winning teams developing practical solutions for our nation's security
  • Flexible schedules with every other Friday off work, if desired (9/80 schedule)
  • Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
  • See more at gdmissionsystems.com/careers/why-work-for-us/benefits

Workplace Options:
This position is fully on-site
While on-site, you will be a part of the Scottsdale, Arizona facility at GDMS Scottsdale, AZ Campus
#LI-Hybrid
#LI-JH1
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $157,487.00 - USD $167,000.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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