Senior DOD Machine Learning Engineer

4 weeks ago


New Concord, United States CareerBuilder Full time

About the Job

Seeking AI/ML researchers passionate about developing and applying greenfield cybersecurity defenses to the hardware industry. An ideal candidate may be a software engineer with machine learning system development expertise, excellent coding skills, a background in digital logic and hardware design, and an interest and experience in applying machine learning techniques to hardware systems. Expect to become involved in developing tools for securing computer-aided design workflows, learning and applying techniques from data science and machine learning to new areas, and above all, to be a part of defending the next generation of devices. technologies to the Department of Defense and commercial customers. You will be contributing and participating in a small technical team.

Responsibilities and Duties

The best candidates will have experience:
Developing and implementing data science pipelines and applications
Understanding deep learning algorithms and their underlying mathematical foundations
Generating, collecting, and cleaning data
Working with infrastructure and acceleration for AI networks on-prem and in the cloud
Developing applications that implement, interface with, and support ML models
Understanding and implementing hardware systems and FPGAs

Minimum Qualifications

Ability to obtain and maintain an active USDoDsecret clearance
B.S. or equivalent in math, engineering, or computer science
4 years of experience in Python, C, and C++
Active interest in cybersecurity

Preferred Qualifications

Active secret clearance
Graduate degree in a related field
Reverse engineering experience
Graph neural networks
Experience in hardware development languages (VHDL, Verilog, etc.), workflow/toolchain (Lattice, Xilinx, etc.), and FPGA/ASIC design flows (CM, simulation, synthesis, P&R, scripting, V&V)

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