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Entry Level Cyber Security Machine Learning Jobs

Palo Alto Networks

Machine Learning Engineer

Encino, CA · On-site

$129K - $208K/yr

Machine Learning Engineer At Palo Alto Networks ® , we're united by a shared mission--to protect ... In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Aivra Health LLC

$28 - $45/hr

This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments. The intern ...

Aivra Health LLC

$28 - $45/hr

This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments. The intern ...

Elder Research

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineer Elder Research Inc., a wholly owned subsidiary of MANTECH international ... Familiarity with Cybersecurity (Mandiant). Experience with Graph Analysis. Clearance Requirements ...

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer Elder Research Inc., a wholly owned subsidiary of MANTECH international ... Familiarity with Cybersecurity (Mandiant) * AWS Cloud experience * Experience with Graph Analysis ...

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Entry Level Cyber Security Machine Learning information

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How much do entry level cyber security machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for entry level cyber security machine learning in the United States is $93,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $112,000.00 per year, depending on experience, location, and employer.
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Entry Level Cyber Security Machine Learning jobs near you
Infographic showing various Entry Level Cyber Security Machine Learning job openings in the United States as of May 2026, with employment types broken down into 69% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $93,170 per year, or $44.8 per hour.

Research Scientist - Communications, Networks, Cybersecurity, AI/ML

Nexcepta, Inc

Gaithersburg, MD • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

Nexcepta, Inc. seeks Research Scientists in one or more research areas of communications, networks, cybersecurity, machine learning, data analytics, and computing. You will be working with an interdisciplinary team of scientists and engineers to develop cutting-edge technologies. Strong analytical and programming skills are required. Responsibilities include participating in research activities, writing technical documents, developing software and prototypes, and writing research proposals. US. Citizenship or Permanent Residency is required. Prospective candidates should have Ph.D. or M.S. in Electrical and Computer Engineering, Computer Science, and related fields. Nexcepta offers comprehensive benefits (including health/dental/vision insurance, 401K, bonus and other compensation plans).

Nexcepta, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Company Description

Nexcepta is a technology leader providing cutting-edge R&D solutions, commercial products, and engineering services to federal and commercial customers. Nexcepta offers a broad portfolio of interdisciplinary solutions in NextG communications and networks, cybersecurity, cloud and edge computing, machine learning, and data analytics. Nexcepta’s culture is rooted in creative technologies designed for high impact operational transition from novel designs to mature implementations.