×
Register Here to Apply for Jobs or Post Jobs. X

AI​/ML Engineer; Computer Vision & Robotics

Job in Washington, District of Columbia, 20022, USA
Listing for: Latent AI
Full Time position
Listed on 2026-10-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Robotics
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
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.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary