Senior DOD Machine Learning Engineer
New, New York
Hybrid
Direct Hire
$150k - $200k
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
- Ability to obtain and maintain an active US DoD secret clearance
- B.S. or equivalent in math, engineering, or computer science
- 4 years of experience in Python, C, and C++
- Active interest in cybersecurity
- 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)