Machine Learning Engineer

Enhance and adapt machine learning models for high-speed performance on embedded systems, particularly NVIDIA Jetson platforms.

Dive deep into CUDA to squeeze maximum efficiency out of the hardware, tailoring performance at the system level

Partner closely with the ML research team to provide technical input on model architecture, helping shape designs that work well within hardware limitations.

Collaborate with embedded software engineers to anticipate and leverage evolving hardware trends, ensuring our deployment strategies remain scalable and robust.

Take full ownership of ML deployment, ensuring models are optimized and run reliably in constrained, real-time environments

Grow quickly in your career with real challenges-whether you’re set on a specific path or still exploring, you’ll have the flexibility to take on new responsibilities and develop where your strengths shine.

Proven CUDA expert with experience optimizing ML models such as NVIDIA Jetson

Experience in a similar position such as Machine Learning Engineer / Deep Learning Engineer

Strong grasp of TensorRT, including its limitations and workarounds.

Comfortable blending ML theory with practical, high-speed implementation.

Hands-on with Jetson or similar platforms, working close to the hardware.

$150,000.00/yr - $300,000.00/yr

Direct message the job poster from Verto People

Machine Learning Engineer / Computer Vision Engineer / Deep Learning Engineer required to join a New York City-based defense technology startup company

The successful Machine Learning Engineer / Computer Vision Engineer will have experience deploying with NVIDIA Jetsons.

Package

$150,000 - $300,000 (Depending on experience)

Heath Dental and Vision Coverage

Unlimited PTO

Further benefits to be discussed