---
title: "AI/ML Engineer (Computer Vision & Robotics) · United States · latentai-careers"
description: "United States · Hybrid — Who we are At Latent AI, we are pushing the boundaries of edge computing and artificial intelligence. We specialize in bringing…"
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**latentai-careers**

**Actively hiring **

# **AI/ML Engineer (Computer Vision & Robotics)**

<dl>

<dt>Workplace</dt>
<dd>**Hybrid**</dd>

<dt>Commitment</dt>
<dd>**Full-time**</dd>

<dt>Seniority</dt>
<dd>**Mid-Level**</dd>

<dt>Posted</dt>
<dd>10d ago</dd>

</dl>

Location

United States

---

## Who we are

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.

## Who we're looking for

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

An ideal candidate will be someone with;

- **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

#### **Location and Benefits**

- US Citizen requirement due to nature of our projects.
- Candidates based in NJ or Washington DC preferred, remote/hybrid possible.
- We offer health, vision & dental benefits, a 401(k) plan.

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```

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