Cyber Research Scientist

Description

Job Description:

This is an excellent opportunity to work on the cutting-edge of artificial intelligence for cybersecurity.  The Leidos Innovation Center (LInC) is seeking a Cyber Research Scientist in Artificial Intelligence for a position within the Leidos Artificial Intelligence (AI) and Machine Learning (ML) Accelerator. The Researcher 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.  The Researcher will have the ability to work remotely with a diverse and geographically distributed team of AI/ML and cybersecurity experts on modern Cyber-AI problems.

Primary Responsibilities:

• 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 cybersecurity defense.
• 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.

Basic Qualifications:

• Bachelor’s degree in computer science or a related discipline, such as: data science, applied mathematics, statistics, electrical engineering, or systems engineering.
• 10-12 years of cybersecurity or cyber-centric AI/ML experience within major programs in industry, academia, or government.
• Experience with threat detection, malware analysis, reverse engineering, and penetration testing, or subverting one of these three areas:
  • Perimeter Defense: firewalls, firewall logs, Zeek (Bro) network security monitor logs,
  • Mid-Point Defense: Security Event and Information Management (SEIM) tools and Intrusion Detection Systems (IDS), Intrusion Protection Systems (IPS).
  • End-Point Defense: Antivirus, personal security products, cloud-based antivirus, and endpoint security software.
• Experience with many areas of AI/ML and related key technical disciplines including:
  • structured and unstructured data,
  • supervised and unsupervised learning
  • deep learning, reinforcement learning, and federated learning, Generative Adversarial Networks (GANs), language models (BERT, GPT-2/3).
• Experience with Matlab, Python, C/C++, etc.
• 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.
• Must be a US Citizen as the selected candidate(s) will need to obtain a Secret Security clearance.

Preferred Qualifications:

• The ability to obtain a TS/SCI clearance is strongly preferred.
• Advanced degree; MS and/or Ph.D.
• Experience in automating advanced techniques for malware analysis, reverse engineering, and penetration testing.
• Experience with developing AI/ML solutions for massive (PB+) datasets, and secured data (PHI, classified data, etc.).
• 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:

Pay Range $118,300.00 - $182,000.00 - $245,700.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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