Machine Learning Engineer

Verto People; New York (NY); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Health, Dental and Vision Coverage

Unlimited PTO

401(k)

Pension plan

Job summary

A defense technology startup in New York City seeks a Machine Learning Engineer. This role involves deploying and optimizing ML models specifically for NVIDIA Jetson platforms. You will collaborate with engineers to enhance high-speed performance of embedded systems in a fast-paced environment, offering a competitive salary and benefits.

Qualifications

• Proven CUDA expert with experience optimizing ML models for NVIDIA Jetson.
• Experience in roles like Machine Learning Engineer or Deep Learning Engineer.
• Hands-on with Jetson or similar platforms, working close to hardware.

Responsibilities

• Enhance machine learning models for performance on embedded systems.
• Optimize deployment of models in real-time environments.
• Collaborate with ML research team on architecture and designs.

Skills

CUDA

Machine Learning

Deep Learning

Computer Vision

TensorRT

Job description

1 week ago Be among the first 25 applicants

This range is provided by Verto People. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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

Direct message the job poster from Verto People

Lead Recruitment Consultant @ Verto People | Specialist Embedded Engineering Recruiter covering the USA

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

Responsibilities

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.

Requirements

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.

Commutable, open to relocation or located in New York City

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst and Information Technology

• Industries

  Software Development, Defense and Space Manufacturing, and Telecommunications

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Pension plan

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