Solutions Engineer

Ultralytics • New York, NY

18d • $150,000 - $200,000 • Onsite

About The Position

As a Solutions Engineer at Ultralytics, you will be responsible for transforming complex computer vision challenges into production-ready systems utilizing YOLO technology. This role involves leading technical discovery, architecting solutions, developing benchmarks and proof-of-concepts, and guiding customers throughout their journey from initial contact to deployed models. You will collaborate with Sales, Customer Success, Product, and Engineering teams, while also working directly with clients in various sectors such as manufacturing, retail, security, and robotics. This is a hands-on position for an engineer who enjoys Python development, model training and optimization, deployment on cloud and edge platforms, and managing customer outcomes across the entire lifecycle. The ideal candidate thrives in environments with ambiguous problems, direct customer interaction, and a focus on achieving measurable results.

Requirements

• 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 deploying across Linux, macOS, and Windows environments.
• Proven ability to deliver technical demos, workshops, architecture reviews, and POCs.
• Strong communication skills with both technical and executive audiences.
• Independent ownership, urgency, resilience, and results in a high-performance startup environment.
• Passion for AI, open source, and helping customers achieve real outcomes.
• Applicants must have legal authorization to work in the country of application.

Nice To Haves

• Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators.
• Experience with MLOps, model monitoring, CI/CD, or observability.
• Familiarity with AWS, Azure, GCP, serverless systems, or managed inference platforms.
• Experience integrating OpenAI or Anthropic APIs into customer tools.
• Open-source contributions or experience supporting developer communities.
• Knowledge of Ultralytics YOLO workflows and production computer vision solutions.

Responsibilities

• Technical discovery and solution design: Own technical discovery, translate customer needs into architectures, and define measurable success criteria. Evaluate customer data, recommend models, and design training, inference, and deployment strategies. Lead technical qualification and solution design alongside Account Executives and Customer Success Managers.
• Prototyping and deployment: Build Python prototypes with YOLO, OpenCV, PyTorch, and Docker. Create benchmarks, integrations, and production-ready training and deployment workflows. Deploy solutions across Linux, macOS, Windows, cloud, and edge environments. Diagnose performance, data quality, inference, and hardware acceleration challenges. Use the Ultralytics documentation and YOLO guides to deliver reliable customer outcomes.
• Customer engagement and enablement: Deliver technical demos, workshops, architecture reviews, and proof-of-concepts that move opportunities forward. Explain machine learning clearly to technical and non-technical audiences. Build trusted relationships and manage technical stakeholders from evaluation through production.
• Ecosystem contribution: Turn customer solutions into reusable examples, deployment guides, integrations, and documentation. Share feedback with Product and Engineering to improve the YOLO ecosystem. Engage developers through the Ultralytics community and GitHub organization.

Benefits

• Competitive compensation: Base salary plus variable compensation with $200k OTE, alongside equity.
• On-site collaboration: Work with passionate builders in one of our global hubs (NYC/Austin).
• Flexible working hours: We value results over routines.
• Generous time off: 24 vacation days, your birthday off, plus local holidays.
• Tech & tools: Work on cutting-edge AI projects that power millions of devices.
• Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.
• Learning & development: Dedicated budget for personal and professional growth.
• High impact: Your work will shape the future of vision AI.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed