Solutions Engineer: Vision AI Deployments

Ultralytics; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

On-site collaboration in NYC/Austin

MacBook Pro, Studio Display, AirPods

Generous time off: 24 vacation days +

Learning and development budget

Job summary

Ultralytics, a leader in YOLO AI models, seeks a Solutions Engineer to turn complex computer vision challenges into production-ready systems. You will drive technical discovery, design architectures, build benchmarks, and guide customers from first conversation to deployed models across cloud and edge.

You'll collaborate with Sales, Customer Success, Product, and Engineering, writing Python, benchmarking, and delivering demos, POCs, and workshops for manufacturing, retail, security, and beyond.

Qualifications

• Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision.
• Experience training, optimizing, evaluating, and deploying machine learning models.
• Comfortable with Docker, Git, REST APIs, Linux, cloud platforms, and edge workflows.
• Experience delivering technical demos, workshops, architecture reviews, and POCs.

Responsibilities

• Own technical discovery, translate customer needs into architectures, and define measurable success criteria.
• Build Python prototypes with YOLO, OpenCV, PyTorch, and Docker; design training and deployment workflows.
• Deploy solutions across Linux, macOS, Windows, cloud and edge environments; diagnose performance issues.
• Deliver technical demos, workshops, architecture reviews, and POCs to move opportunities forward.

Skills

Python

YOLO

OpenCV

PyTorch

Cloud platforms

Edge deployments

Demos/POCs

Communication skills

Tools

Docker

Git

REST APIs

Linux

Job description

Ultralytics, a leader in YOLO AI models, seeks a Solutions Engineer to turn complex computer vision challenges into production-ready systems. You will drive technical discovery, design architectures, build benchmarks, and guide customers from first conversation to deployed models across cloud and edge.

You'll collaborate with Sales, Customer Success, Product, and Engineering, writing Python, benchmarking, and delivering demos, POCs, and workshops for manufacturing, retail, security, and beyond.