AI/ML Engineer (Computer Vision & Robotics)

Frontdoor Defense; New Jersey; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Latent AI is seeking an AI/ML Engineer specialized in computer vision and robotics to build and deploy production-grade edge ML pipelines for autonomous robots and drones. You will develop real-time detection models, optimize inference latency, and integrate perception and navigation across distributed edge hardware.

Ideal candidates have Python and PyTorch expertise, experience with CUDA and TensorRT, and a track record of shipping from research to production.

Qualifications

• Fluent in Python and PyTorch for CV/robotics.
• 3–5 years industry experience in ML/AI.
• Experience deploying edge ML systems.
• Familiar with CI/CD, testing and docs.
• US citizenship; NJ/DC based or hybrid work.

Responsibilities

• Design, train, and deploy computer vision models for edge devices.
• Optimize inference speed on edge hardware (CUDA, TensorRT).
• Integrate ML models with robotics perception and navigation.
• Manage containerized edge deployments with Docker/Kubernetes.
• Drive performance improvements and production readiness.

Skills

Python

PyTorch

Computer Vision

Robotics

CUDA

TensorRT

Docker

Kubernetes

CI/CD

Edge Deployment

Tools

Docker

Kubernetes

CUDA

TensorRT

Job description

AI/ML Engineer (Computer Vision & Robotics)

Build production-grade edge ML pipeline for autonomous robots and drones

Location: New Jersey, District of Columbia

About The Role

AI/ML Engineer Opportunity

At Latent AI, we are pushing the boundaries of edge computing and artificial intelligence. We specialize in bringing high-performance, low-latency AI to the edge, enabling real-time decision-making in autonomous systems and robotics. We are looking for a passionate and driven AI/ML Engineer to join our team and help us build the next generation of intelligent, physical AI systems.

We are seeking an AI/ML Engineer with a strong background in computer vision and robotics. In this role, you will be responsible for building, optimizing, and deploying production-grade machine learning systems directly onto edge hardware. You will sit at the intersection of deep learning and robotics, ensuring that our real-time detection models operate with ultra-low latency during high-speed field operations.

If you are obsessed with inference optimization, edge deployments, and making robots smarter, we want to hear from you.

What You'll Do

• Model Development: Design, train, and deploy deep learning models for computer vision using PyTorch, focusing on real-time object detection and spatial awareness.
• Inference Optimization: Maximize model inference speed and guarantee low-latency performance on edge hardware utilizing CUDA and TensorRT.
• Robotics Integration: Seamlessly integrate advanced computer vision models for perception and navigation for robots, drones, unmanned systems, swarms, etc.
• Edge Deployment: Manage, scale, and maintain containerized edge deployments across distributed hardware using Docker and Kubernetes.
• Performance Engineering: Drive automated data insights and high-performance edge computing initiatives to deliver measurable accuracy gains and operational efficiency in complex, high-speed field environments.

How We Decide

• Technical depth in ML/AI with a preference for computer vision and robotics. Preference on experience in modality including EO/IR, Acoustic / SONAR, RF / SAR.
• Proven contributions, whether in industry or academia, that moved innovative ideas closer to product. 3-5 years industry experience.
• Hands-on execution: the ability to design, build, and ship, not just theorize.
• Collaborative independence: you're comfortable making autonomous progress, but you thrive in a team environment.
• Growth mindset: curiosity, adaptability, and willingness to learn new approaches and tools.
• Are fluent in Python and modern ML frameworks like PyTorch; familiarity with agentic AI frameworks is a bonus.
• Know your way around CI/CD, automated testing, and documentation, and care about building robust systems.
• Have some familiarity with data science front-end/UI workflows to support quick demonstrations (streamlit, dash, gradio).
• Have a track record of driving innovation from research or prototypes into production ready features or products
• US citizenship required due to nature of work
• Candidates based in NJ or Washington DC preferred, remote/hybrid possible