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Machine Learning Defense Jobs in Orem, UT (NOW HIRING)

This includes security telemetry and advanced capabilities such as data platforms and machine learning that enable scalable, proactive defense. This leaderoperatesat the intersection of strategy ...

Software Engineer II

Provo, UT

$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 ...

Software Engineer II

Provo, UT

$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 ...

Foster a culture of accountability, ethical conduct, and continuous learning. * Ensure proper ... Executive experience within firearms, defense, aerospace, or similarly regulated manufacturing ...

Foster a culture of accountability, ethical conduct, and continuous learning. * Ensure proper ... Executive experience within firearms, defense, aerospace, or similarly regulated manufacturing ...

Foster a culture of accountability, ethical conduct, and continuous learning. * Ensure proper ... Executive experience within firearms, defense, aerospace, or similarly regulated manufacturing ...

Foster a culture of accountability, ethical conduct, and continuous learning. * Ensure proper ... Executive experience within firearms, defense, aerospace, or similarly regulated manufacturing ...

Machine Learning Defense information

See Orem, UT salary details

$22.2K

$37K

$76.5K

How much do machine learning defense jobs pay per year?

As of Jun 17, 2026, the average yearly pay for machine learning defense in Orem, UT is $37,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $40,000.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and software engineering. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

How much does Lockheed Martin pay AI?

As a Machine Learning Defense professional at Lockheed Martin, salaries typically range from $80,000 to over $130,000 annually, depending on experience, education, and specific role. Compensation may also include benefits such as health insurance, retirement plans, and performance bonuses, with opportunities for career advancement in defense and aerospace sectors.

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 jobs pay $2000 a day?

In the field of Machine Learning Defense, highly specialized roles such as senior machine learning engineers, AI security consultants, or cybersecurity analysts working on AI systems can command daily rates of around $2000 or more, especially with extensive experience, advanced certifications, and working on critical projects. These positions often require expertise in AI algorithms, cybersecurity, and relevant tools like Python, TensorFlow, or cybersecurity frameworks, and may involve consulting or contract work with flexible schedules.

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.

Which 3 jobs will survive AI?

In the field of Machine Learning Defense, roles such as cybersecurity analysts, AI security specialists, and data scientists are likely to persist as they require complex judgment, domain expertise, and ongoing adaptation to evolving threats. These jobs involve critical thinking, understanding of adversarial AI techniques, and specialized skills that are difficult to fully automate. Continuous learning and certifications in cybersecurity or AI are valuable for staying relevant in these roles.

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 Orem, UT? For Machine Learning Defense jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Orem, UT look for? The top searched job categories for Machine Learning Defense jobs in Orem, UT are:
What cities near Orem, UT are hiring for Machine Learning Defense jobs? Cities near Orem, UT with the most Machine Learning Defense job openings:
VP, Cyber Operations

Full-time

Posted 8 days ago


Job description

The Opportunity

At Adobe,we'rechanging the world through digital experiences. We empower everyone,from emerging artists to global brandsto design and deliver exceptional digital experiences. At this scale, security is foundational tomaintainingcustomer trust andenablinginnovation.

We'reseeking a Vice President, Cyber Operations to lead one of Adobe's most critical global security organizations. This leader will partner with the Chief Security Officer to shape and guide the future of Cyber Operations! They will improve proactive defense, increase detection and response, and enhance a strong, information-based security posture.

This role builds on a solid foundation and will develop how Adobe anticipates, detects, and responds to threats globally. It protects our infrastructure, data, and people while supporting ongoing business growth.

Role Summary

The Vice President of Cyber Operations leads a global organization responsible for end-to-end cyber defense across Adobe's enterprise and cloud environments.This includes three core pillars:

  • Enterprise Security- Secures Adobe's workforce and enterprise environment through identity and access management, authentication and authorization,endpointand device security, and zero trust-aligned infrastructure protections. This team ensures strong foundational controls that safeguard Adobe identities, systems, and data.

  • Adobe Cyber Defense Center- Serves as Adobe's central threat detection and response function, delivering 24/7 monitoring, incident response, detection engineering, and threat intelligence. This teamis responsible foridentifying, investigating, and rapidlycontainingthreats across Adobe's global environment.

  • Security Engineering- Builds andoperatesthe security platforms, data infrastructure, and tooling that power Cyber Operations. This includes security telemetry and advanced capabilities such as data platforms and machine learning that enable scalable, proactive defense.

This leaderoperatesat the intersection of strategy, execution, and leadership-setting direction, delivering operational excellence, and building a high-performing organization capable of responding to a rapidly evolving threat landscape.

WhatYou'llDo

Strategy

  • Define and evolve Adobe's Cyber Operations strategy, building a proactive and resilient cybersecurity framework

  • Lead transformation across automation, data platforms, and security solutions strengthened by smart technology systems

  • AlignCyberOpspriorities to business strategy, enabling customer trust and innovation

  • Shape a scalable operating model across Enterprise Security, Cyber Defense, and Security Engineering

Execution

  • Own end-to-end cyber defense including detection, response, vulnerability management, identity, and endpoint security

  • Ensure global consistency and readiness in incident response

  • Strengthen monitoring, visibility, and real-time response capabilities

  • Drive operational excellence through metrics, dashboards, and continuous improvement

  • Lead decisively through high-severity incidents

Leadership

  • Lead and scale a global organization

  • Build a strong leadership bench and succession pipeline

  • Provide clarity of priorities across a complex organization

  • Partner across Adobe to align on risk and business priorities

  • Champion Adobe values: Create the Future, Own the Outcome, Raise the Bar, Be Genuine

What You Need to Succeed

Experience &Expertise

  • 15+ years in information security, with deep Cyber Operations experience

  • 10+ years leading large, global, multi-layer organizations

  • Experience operating at VP level or with equivalent experience

  • Experience leadingCyberOpsin a large-scale cloud or SaaS environment

  • Track recordbuilding and scaling global security organizations

  • Deep technical depth across security subject areas

Leadership Capabilities

  • Experience leading organizations of 100+ employees

  • Ability to set enterprise strategy and drive execution

  • Strong executive presence with C-level influence

  • Proventrack recorddeveloping high-performing teams

  • Ability tooperatein ambiguity and drive clarity

  • Practical and driven by results

  • Composed under pressure

  • Passion for protecting customers and enabling secure innovation

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $243,500 -- $520,500 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $334,800 - $520,500 In Washington, the pay range for this position is $303,200 - $471,350

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982