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Machine Learning Defense Jobs in Coppell, TX (NOW HIRING)

Deloitte

Cyber Consultant - AI SOC

Fort Worth, TX

Experience applying artificial intelligence, machine learning, or large language model workflows to ... As a Consultant - Cyber Defense and Resilience, you will support the design and deployment of ...

Deloitte

Cyber Consultant - AI SOC

Dallas, TX

Experience applying artificial intelligence, machine learning, or large language model workflows to ... As a Consultant - Cyber Defense and Resilience, you will support the design and deployment of ...

Deloitte

Cyber Manager - AI SOC

Dallas, TX

$109K - $148K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Deloitte

Cyber Senior Consultant - AI SOC

Dallas, TX

As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Deloitte

Cyber Manager - AI SOC

Fort Worth, TX

$106K - $143K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Qorvo, Inc.

Engineer, BAW R&D Process

Richardson, TX

... and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect ... Experience in automated defect classification and/or machine learning for visual defect binning ...

Qorvo, Inc.

Engineer, BAW R&D Process

Richardson, TX · On-site

... and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect ... Experience in automated defect classification and/or machine learning for visual defect binning ...

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Showing results 41-60

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Machine Learning Defense information

See Coppell, TX salary details

$23.5K

$39.3K

$81.2K

How much do machine learning defense jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning defense in Coppell, TX is $39,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,500.00 per year, depending on experience, location, and employer.

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 Coppell, TX?

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

What cities near Coppell, TX are hiring for Machine Learning Defense jobs?

Cities near Coppell, TX with the most Machine Learning Defense job openings:

Machine Learning Defense jobs near you

Customer Success Manager (Public Sector & Endpoint Security) - Dallas, Texas

Zimperium

Dallas, TX

Full-time

Re-posted 4 days ago

Job description

Zimperium is an industry leader in enterprise mobile security, being the first and only company to provide a complete mobile threat defense system that offers real-time, on device world-class protection against both known and unknown next generation of advanced mobile cyberattacks and malware.

Our MTD and award-winning machine learning-based engine protects against device, network, phishing and application attacks for IOS, Android and Windows devices, using a non-intrusive approach to always protect privacy of users.

As part of our fast growing pace, we are currently looking for a Customer Success Manager. The candidate for this role will manage post-sale Customer relationships including building customer relationships, managing renewals, facilitating expansion opportunities, driving solution adoption & business value, managing escalations and achieving Customer delight. The role requires a blend of strong Customer management experience with a strong technical background.

LOCATION: Dallas, TX

RESPONSIBILITIES:

  • Account management - Proactively manage client relationships to ensure renewals, referenceability and facilitate expansion opportunities with sales teams

  • Public Sector Focus - Manage a strategic portfolio consisting of Federal Civilian/Defense agencies and State, Local, and Education (SLED) entities

  • Drive Product Adoption & Demonstrate Business Value - Drive the adoption of Zimperium's solution within the Customer's user base and assist the Customer to realize the business value

  • Product & Domain Expertise - Demonstrate strong domain & functional understanding of the solution and be a trusted advisor to the Customer. This includes basic technical skillset to understand architecture; being able to extract & interpret the underlying business data

  • Customer Satisfaction & Risk Management - Maintain a high level of customer satisfaction and be the primary interface to manage risks and escalations

  • Customer Advocacy -  Gather Customer's feedback about products, their use-cases channel them effectively to drive product capabilities

  • Customer Onboarding - Assist the Customer with deployment planning, best practices deployment approach and proactive management of risks to facilitate a smooth and agile rollout of the solution

 

QUALIFICATIONS:

  • B.S. in Computer Science or an equivalent engineering degree 

  • 5+ years of experience working with Enterprise software solutions, startup experience desirable

  • 5+ yrs experience in customer success roles, preferably with security companies, managing portfolio of large enterprise and/or Federal customers

  • Self-motivated, strong problem-solving skills with good business acumen. Domain expertise in Mobility & Security is highly desirable

  • Ability to travel

ADDITIONAL RESPONSIBILITIES

  • Collaborate effectively with internal teams - Work closely with Engineering and Product teams in different time zones to address customer issues

  • Roll up your sleeves - Learn everything about the product and how its deployed to ensure you can have in-depth quality conversations with the customer


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