Ai/ml Engineer
$124,000
avg. annual salary
Ai/ml Engineer
pays more on average
Cybersecurity Analyst
$123,209
avg. annual salary
In today's tech-driven world, both AI/ML Engineers and Cybersecurity Analysts play pivotal roles in shaping the future of technology. AI/ML Engineers focus on developing intelligent systems that learn and adapt through data, driving innovations across various industries. Alternatively, Cybersecurity Analysts protect organizations from cyber threats, ensuring data integrity and security. This article delves into their respective salaries, benefits, and career trajectories to help you make informed decisions. Whether you are contemplating a career in artificial intelligence or considering cybersecurity as your path, understanding the financial implications and growth potential of these roles is crucial for your career planning in 2025.
Salary by Experience Level
starting salary
starting salary
avg. difference (1%)
Salary Overview
As of 2025, the average salary for an AI/ML Engineer is approximately $130,000, while the average salary for a Cybersecurity Analyst is around $110,000. The salary range for AI/ML Engineers typically spans from $100,000 to $160,000, whereas Cybersecurity Analysts earn between $80,000 and $140,000.
Both roles exhibit strong demand, driven by the increasing reliance on digital solutions and the need for enhanced security measures.
Benefits and Perks
AI/ML Engineers generally enjoy lucrative benefits, including flexible work arrangements, professional development opportunities, and stock options. On the other hand, Cybersecurity Analysts typically receive comprehensive health coverage, retirement plans, and often bonuses for successfully mitigating threats.
Both roles may offer remote work options, which have become increasingly common in the tech industry.
Career Path and Growth Opportunities
AI/ML Engineers can advance to become Machine Learning Architects or Data Science Leaders, with opportunities to work in cutting-edge areas like natural language processing and computer vision. Conversely, Cybersecurity Analysts can progress to roles such as Information Security Manager or Chief Information Security Officer (CISO), focusing on strategic security initiatives.
Both career paths not only offer high salaries but also a chance to make significant impacts in their respective fields.
Key Factors Influencing Salaries
Several factors impact salaries for both AI/ML Engineers and Cybersecurity Analysts. These include experience level, geographic location, and industry sector.
For instance, professionals based in tech hubs such as Silicon Valley often earn higher salaries due to the high cost of living and competitive demand. Additionally, advanced certifications and degrees can significantly enhance earning potential in both fields.
Conclusion
Choosing between a career as an AI/ML Engineer or a Cybersecurity Analyst involves weighing the salary prospects, benefits, and your personal interests in technology. Both careers offer attractive salaries and growth opportunities, making them desirable options in the ever-evolving tech landscape of 2025.
Detailed Salary Comparison (2025)
### Overview
- •AI/ML Engineer (U.S. median ranges): Entry $95,000–$140,000; Mid $140,000–$220,000; Senior $220,000–$400,000+. Total comp at large tech firms commonly reaches $300K–$800K when including equity and bonuses.
- •Cybersecurity Analyst (U.S. median ranges): Entry $60,000–$85,000; Mid $85,000–$130,000; Senior $130,000–$200,000+. At banks and defense contractors, total comp (bonus + retention) can hit $150K–$300K.
### Additional pay factors
- •Bonuses and equity matter: ML roles skew toward equity; security roles toward cash bonuses and hazard pay.
- •Contracting: security contractors bill $70–$150/hr; ML consultants often charge $100–$300/hr.
Actionable takeaway: pick AI/ML for higher upside (equity-heavy) and cybersecurity for steadier cash compensation and faster entry-level hiring.
Key Factors That Affect Salaries
### Education and credentials
- •Degree: a master’s in ML or data science can raise base pay ~10–20%. For security, a bachelor’s plus 2–4 years’ experience is common.
- •Certifications: CISSP often adds ~10–15% to security pay; OSCP or CEH can add 5–10%.
### Specialization and experience
- •Specialties: NLP or computer vision engineers command premiums of 10–30% over general ML roles. Cloud security or incident response specialists earn 10–25% more than general analysts.
- •Seniority timeline: expect 2–4 years to senior level in both fields; leadership roles typically take 4–7 years.
### Location & industry
- •Geography: Bay Area/New York pay 15–40% more. Finance and defense pay higher security premiums.
Actionable takeaway: prioritize certifications and a clear specialization to boost salary quickly.