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Senior AI​/ML Research Engineer

Job in Florham Park, Morris County, New Jersey, 07932, USA
Listing for: CACI International Inc
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
  • Engineering
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 113200 - 237800 USD Yearly USD 113200.00 237800.00 YEAR
Job Description & How to Apply Below

Job Title:

Senior AI/ML Research Engineer

Job Category:
Engineering

Time Type:
Full time

Minimum Clearance Required to Start:
Top Secret

Employee Type:
Regular

Percentage of

Travel Required:

Up to 10%

Type of Travel:
Local

We have an exciting new opportunity in Florham Park, NJ to apply machine learning, statistics, and AI capabilities to develop algorithms for networking, edge computing, cybersecurity, and autonomy.

Responsibilities
  • Develop and justify the performance of algorithms in networking and edge computing-related domains.
  • Perform extensive detailed modeling and simulation, including quantifying the relative impact of candidate solution architectures.
  • Oversee the development of standalone applications and/or major software subsystems and components while adhering to software best practices.
  • Assist with the development of detailed technical plans with tasks, schedule, and labor estimates.
  • Develop automated tests to rigorously test and evaluate algorithms and software capabilities.
  • Act as a core contributor during proposal development and project execution.
Qualifications Required
  • Bachelor's degree in computer science, computer engineering, or machine learning and at least 7 years’ experience.
  • Experience developing algorithms, protocols, and software applications in networking, edge computing, and/or autonomy.
  • Strong background in machine learning and statistics.
  • Significant experience with Python and C++.
  • Comfortable using Linux operating systems and commonly used Linux utilities.
  • Some advanced knowledge of computer networking, including TCP/IP networking/OSI model, routing algorithms, Linux networking utilities and interfaces.
  • Ability to anticipate strengths and weaknesses of software solutions and perform simulation, testing, and evaluation to quantitatively compare alternative approaches.
  • Ability to effectively articulate research and development outcomes to senior staff and customers and act as a technical representative of the team.
  • Excellent oral and written communications skills.
  • Demonstrated effectiveness in leading, organizing, and executing technical efforts.
  • Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract.
  • Active TOP SECRET clearance.
Desired
  • Master's degree or Ph.D. in computer science, computer engineering, or machine learning.
  • Experience applying machine learning to signal processing and/or other time-series data analysis applications.
  • Experience with probabilistic generative modeling and Bayesian inference.
  • Knowledge of or experience with information theory, probability theory, parametric and non‑parametric statistical tests.
  • Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance.
  • Top Secret with SCI preferred.
Pay Range

$113,200 - $237,800

We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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Position Requirements
10+ Years work experience
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