Senior AI​/ML Research Engineer

Overview

Senior AI/mL Research Engineer position in Florham Park, NJ. Apply machine learning, statistics, and best-of-breed AI capabilities to develop algorithms to solve challenging problems in networking, edge computing, cybersecurity, and autonomy. Research and develop innovative capabilities that incorporate machine learning and other advanced concepts in areas such as federated learning, network analysis, resource allocation & planning, and robust communications in challenging networking environments.

Develop machine learning and statistics-enabled software capabilities and applications to be integrated into larger hardware and software systems. Lead technical efforts and interface with customers. Assist in developing new business concepts and successfully develop winning proposals to secure additional funding and work.

Other requirements
:
Active SECRET clearance

• 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.
• Supervise projects and oversee the development of standalone applications and/or major software subsystems and components while adhering to software best practices.
• Develop detailed technical plans with tasks, schedule, and labor estimates.
• Develop automated tests to rigorously test and evaluate algorithms and software capabilities.
• Act as a technical leader during proposal development and project execution.
• Develop customer relationships, pursue new business opportunities, and formulate novel concepts to address national security problems as part of customer outreach and proposal development.

Required:

• Master’s degree in computer science, computer engineering, or machine learning and at least 5 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 SECRET clearance

Desired:

• 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 clearance (SCI preferred).

There is a culture of integrity, trust, continuous growth, and an environment that supports autonomy and learning. CACI emphasizes character and innovation, offers flexible time off, robust learning resources, and a focus on national security missions.

Pay range:
The proposed salary range for this position is $113,200 - $237,800. 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.