AI/ML Engineer (Computer Vision & Robotics)

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.

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.


Summary

Build, optimize, and deploy production-grade computer vision models on edge hardware for robotics and autonomous systems, using PyTorch, CUDA, and TensorRT, with containerized deployments via Docker and Kubernetes. Requires 3-5 years of industry experience, Python and PyTorch fluency, and US citizenship.

Responsibilities

Design, train, and deploy computer vision deep learning models with PyTorch; optimize inference with CUDA and TensorRT; integrate perception for robots, drones, and unmanned systems; manage containerized edge deployments with Docker and Kubernetes; drive performance engineering in high-speed field environments.

Qualifications

3-5 years industry experience; fluent in Python and PyTorch; familiarity with CI/CD, automated testing, and documentation; familiarity with data science front-end/UI workflows (Streamlit, Dash, Gradio); US citizen due to nature of projects; candidates based in NJ or Washington DC preferred.

Experience requirements

3-5 years industry experience.

Benefits

Health, vision and dental benefits; 401(k) plan.