Work remotely and have a work life balance here at Leidos.
We have an excellent opportunity to work on the cutting-edge of
artificial intelligence for cybersecurity. The Leidos
Innovation Center (LInC) is seeking many Cyber Research
Scientists in Artificial Intelligence for positions within the
Leidos Artificial Intelligence (AI) and Machine Learning (ML)
Accelerator. The Researchers will help to automate advanced AI/ML
techniques for cyber network defense, including: anomaly detection
and insider threat detection, malware analysis, reverse
engineering, and penetration testing for perimeter, mid-point and
end-point defense. They will also have the ability to work remotely
with a diverse and geographically distributed team of AI/ML and
cybersecurity experts on modern Cyber-AI problems.
If you like doing these tasks you will love this job:
• Hands-on research and development of
analytics for anomaly detection and insider threat detection, and
develop AI/ML models for perimeter, mid-point and end-point
• Work with a team of researchers within the
Leidos AI/ML Accelerator developing and delivering Cyber-AI
solutions in a range of technology areas.
• Expand and enhance Cyber-AI strategy for a
$10B+ Fortune 500 company with major markets in Defense,
Intelligence, Civil, and Health.
This is you:
• Bachelor’s degree in computer science or a
related discipline, such as: data science, applied mathematics,
statistics, electrical engineering, or systems engineering with 8+
years of cybersecurity or cyber-centric AI/ML experience within
major programs in industry, academia, or government or 4 additional
years of experience in lieu of degree.
• Must be a US Citizen with the ability to
obtain and maintain a secret security clearance.
• Experience with threat detection, malware
analysis, reverse engineering, and penetration testing, or
subverting one of these three areas:
o Perimeter Defense: firewalls, firewall
logs, Zeek (Bro) network security monitor logs,
o Mid-Point Defense: Security Event and
Information Management (SEIM) tools and Intrusion Detection Systems
(IDS), Intrusion Protection Systems (IPS).
o End-Point Defense: Antivirus, personal
security products, cloud-based antivirus, and endpoint security
• Experience with many areas of AI/ML and
related key technical disciplines including:
o Structured and unstructured data
o Supervised and unsupervised learning,
reinforcement learning, and federated learning
o Deep Learning (CNNs, RCNNs, LSTMs,
o Generative Adversarial Networks
• Enthusiasm for innovation, experimentation
and self-development in the cyber security field.
• Excellent interpersonal/communication
skills, both verbal and written.
• Experience and proven ability to work
autonomously and in a team in an innovative and fast-paced
environment whilst delivering to deadlines.
You will wow us even more if you have these skills:
• Advanced degree (M.S. or Ph.D.)
• The ability to obtain a TS/SCI clearance
is strongly preferred.
• Experience in automating advanced
techniques for malware analysis, reverse engineering, and
• Experience with developing AI/ML solutions
for massive (PB+) datasets, and secured data (PHI, classified data,
• Proven ability to design, articulate, and
deliver complex cyber solutions that: are scalable, robust, secure,
and resilient and deliver clear, measurable value to program owners
and end users.
• Experience with commercial and Open Source
Cyber / AI / ML / Data Science platforms.
• Hands-on experience with a broad range of
current deep learning tools (e.g., TensorFlow, Spark, Theano,
PyTorch, Scikit-learn, Keras, Nvidia Digits) and collaboration
environments (e.g. Jupyter notebooks, PyCharm).
• Extensive experience with and ability to
formulate solutions using one or more of the following models: Deep
Learning (CNNs, RCNNs, LSTMs), GANs, Reinforcement Learning.
Pay Range $110,500.00 - $170,000.00 - $229,500.00