Forward Deployed Engineer (AI)

Location: Remote, United States

Company

Stability AI develops generative AI technologies for creative and enterprise use cases across image, video, 3D, vector graphics, and design.

What you will do

• Partner with creative, technical, and business stakeholders to understand workflows, systems, and goals.
• Identify opportunities to apply generative AI and multimodal models to customer use cases.
• Build prototypes, integrations, and production-ready solutions for creative tools, content pipelines, and enterprise systems.
• Adapt models to customer datasets, brand requirements, and production environments.
• Evaluate solution quality, controllability, consistency, reliability, and production usefulness.
• Diagnose issues across models, APIs, data pipelines, infrastructure, and customer integrations, while documenting reusable deployment patterns.

Requirements

• Strong software engineering experience building and deploying machine learning or AI-powered applications.
• Degree or equivalent practical experience in computer science, machine learning, computer graphics, computer vision, or a related field.
• Experience with generative AI, multimodal systems, computer vision, graphics, or creative technology.
• Strong programming skills in Python and experience with PyTorch.
• Experience turning prototypes into reliable production systems, with familiarity with APIs, cloud infrastructure, data pipelines, model serving, and enterprise integrations.
• Ability to scope ambiguous customer problems and communicate solutions to technical and non-technical stakeholders.

Nice to have

• Experience in forward deployed engineering, solutions engineering, applied AI, machine learning engineering, or technical consulting.
• Experience delivering complex implementations for enterprise customers or professional creative domains such as VFX, games, animation, advertising, e-commerce, graphic design, or 3D production.
• Experience with controllable generation, layered editing, multi-view consistency, relightable assets, structured design outputs, or brand-constrained generation.
• Familiarity with model evaluation, GPU infrastructure, inference optimization, and production monitoring.
• Willingness to travel periodically for customer workshops and strategic engagements.

Culture & Benefits

• Direct collaboration with research, product, engineering, design, and customer teams.
• Work at the intersection of engineering, applied AI, product, and customer delivery.
• Opportunity to address complex production workflows and deliver measurable customer value.