AI/ML Engineer (Computer Vision & Robotics)

Latent AI; Washington (District of Columbia); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health, vision & dental benefits

401(k) plan

Remote/hybrid friendly

Job summary

Latent AI is seeking an AI/ML Engineer to push real-time computer vision models onto edge hardware for robotic and autonomous systems. You will design, train, and deploy production-grade ML systems with ultra-low latency.

The role emphasizes inference optimization, edge deployments, and integration with robotics platforms, using PyTorch, CUDA, TensorRT, Docker, and Kubernetes. Join us if you’re passionate about smarter robots and edge AI.

Qualifications

• Proficient in Python and modern ML frameworks (PyTorch).
• Strong background in computer vision and robotics.
• Experience deploying ML models on edge hardware with low latency.

Responsibilities

• Design, train, and deploy real-time computer vision models for edge devices.
• Optimize inference speed using CUDA and TensorRT on edge hardware.
• Integrate models into edge robotics platforms and ensure robust deployments.
• Manage containerized edge deployments with Docker and Kubernetes.
• Drive performance engineering to improve accuracy and efficiency in high-speed environments.

Skills

Python

Computer Vision

Robotics

Deep Learning

CUDA

Tools

PyTorch

TensorRT

Docker

Kubernetes

CI/CD

Job description

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.