AI/ML Engineer (Computer Vision & Robotics)
At a glance
Mid-level Machine Learning Engineering role at Latent AI. Hybrid (United States) · full-time · no salary stated · we estimate $144,250–$228,825 across the United States.
Latent AI has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and train PyTorch vision models for object detection and spatial awareness, then ship them to production
- Tune models with CUDA and TensorRT so they respond quickly on edge hardware
- Connect vision systems to robot perception and navigation across robots, drones and unmanned systems
- Run containerized deployments across distributed hardware with Docker and Kubernetes
- Use automated data insights to improve accuracy and operational performance in fast-moving field settings
What you bring
- Three to five years of industry experience building machine learning systems
- Strong computer vision and robotics skills, with hands-on work taking models from design through deployment
- Fluency in Python and modern machine learning frameworks such as PyTorch
- U.S. citizenship is required for this work
Who this fits
This mid-level role suits an engineer who can make independent progress while working closely with a team. Candidates in New Jersey or Washington, D.C. are preferred, with remote or hybrid work possible. Experience with EO/IR, acoustic or SONAR, or RF/SAR modalities is preferred.
From the employer
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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