Based in Southern California with locations in Malibu, Calabasas and Camarillo; HRL has been on the leading edge of technology, conducting pioneering research and advancing the state of the art.
Essential Duties:
Perform research and development in the field of cyber vulnerability analysis. Intern will be responsible for enhancing an existing tracking tool for a cyber vulnerability analysis platform, tracking user activities for dynamic analysis, and developing new plugins to support reverse engineers. Intern will also connect the new tracking capabilities to existing HRL software for backend data analysis.
Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise.
Required Skills:
Research experience in cyber vulnerability analysis and reverse engineering and ability to verify and validate developed software with unit testing, integration testing, and UI testing. Experience in developing plugins, especially in reverse engineering tools (e.g., Ghidra, IDAPro, etc.). Must be able to design experiments and pilot studies to demonstrate the utility of the developed software. Must also be able to prepare documentation for software.
Experience developing innovative solutions based on the application of relevant research results from a wide variety of literature i.e. from theory to software.
Experience working on projects requiring group software development and version control is a plus.
Experience in using machine learning tools and packages (e.g., Caffe, PyTorch, TensorFlow, Sklearn), COTS reinforcement learning simulators (e.g. OpenAI, PettingZoo, etc.), and distributed software (e.g. Ray, Python multi-processing) is a plus.
Background in causal inference and one or more of the following areas: machine learning, machine reasoning, computer vision, network science/graph theory, text mining, statistics.
Strong Python programming skills, proficiency with Unix-based systems, in addition to R, C/C++, Java, and/or Matlab.
Required Education:
Currently pursuing a Master’s or Ph.D. in Computer Science, Data Science, Network Science, Applied Math, Statistics, EE or related fields
Compensation:
The pay range for this position $35 - $50 per hour.
Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires for the position. Within the range, individual pay is determined by work location and additional factors, including job-related
Don’t meet every single requirement? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At HRL, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
HRL offers a very competitive compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, growth potential, and an exciting and challenging work environment.
HRL Laboratories is an Equal Employment Opportunity employer and does not discriminate in recruiting, hiring, training or promoting, on the basis of race, ethnicity, color, creed, religion, sex, sexual orientation, gender, gender identity, genetic information, national origin, physical or mental disability, pregnancy, medical condition, age, U.S. military or protected veteran status, union membership, or political affiliation. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
For our privacy policy please visit :
www.hrl.com/privacy
This position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.