Forward Deployed Engineer

stabilityai; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Stability AI seeks a Forward Deployed Engineer to help creative teams and enterprises adopt generative AI across image, video, 3D, vector graphics, and design workflows. You will own problems from scoping to production deployment, blending software engineering with hands-on generative AI and visual computing.

You will translate ambiguous customer needs into prototypes and reliable production systems, partnering with research, product, and customer teams to deliver measurable value.

Qualifications

• BS/MS/PhD or equivalent practical experience in CS, ML, graphics, or vision.
• Hands-on generative AI, multimodal systems, CV, or creative tech.
• Strong Python skills; experience with PyTorch.
• Track record turning prototypes into production systems.

Responsibilities

• Partner with stakeholders to map workflows and goals before proposing technical approaches.
• Identify high-value opportunities to apply generative AI across image, video, 3D, vector graphics, and design domains.
• Build prototypes, integrations, and production‑ready solutions delivering measurable customer value.
• Adapt generative and multimodal models to customer datasets, brand requirements, and production environments.
• Integrate AI capabilities into existing creative tools and enterprise systems.
• Collaborate with research, product, engineering, and design to translate customer needs into technical requirements.

Skills

Software engineering

Python

PyTorch

ML deployment

Communication

Problem solving

Education

Bachelor's degree

Master's degree

PhD

Equivalent practical experience

Tools

APIs

Model serving

Data pipelines

Cloud infrastructure

Job description

Role overview

A Forward Deployed Engineer position focused on helping creative teams and enterprises adopt generative AI across image, video, 3D, vector graphics, and design workflows. The role sits at the intersection of engineering, applied AI, product, and customer delivery, taking ownership of problems from initial scoping through production deployment. The ideal candidate blends strong software engineering skills with hands‑on experience in generative AI and visual computing, and is comfortable moving from an ambiguous customer need to a working prototype and ultimately a reliable production solution.

Responsibilities

• Partner with creative, technical, and business stakeholders to map existing workflows, systems, and goals before proposing technical approaches.
• Identify high‑value opportunities to apply generative AI across image, video, 3D, vector graphics, and design domains.
• Build prototypes, integrations, and production‑ready solutions that deliver measurable customer value.
• Adapt generative and multimodal models to customer‑specific use cases, datasets, brand requirements, and production environments.
• Integrate AI capabilities into existing creative tools, content pipelines, and enterprise systems.
• Collaborate with research, product, engineering, and design teams to translate customer needs into technical requirements and product direction.
• Evaluate solutions against quality, controllability, consistency, reliability, and production usefulness.
• Diagnose technical issues spanning models, APIs, data pipelines, infrastructure, and customer integrations.
• Document successful approaches and develop reusable implementation patterns for future deployments.
• Serve as a trusted technical partner throughout discovery, prototyping, implementation, and rollout.

Requirements

• Strong software engineering experience building and deploying machine learning or AI‑powered applications.
• Bachelor's, Master's, PhD, or equivalent practical experience in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or a closely related field.
• Hands‑on work with generative AI, multimodal systems, computer vision, graphics, or creative technology.
• Strong Python programming skills and experience with frameworks such as PyTorch.
• Track record of turning prototypes and experiments into reliable production systems.
• Familiarity with APIs, cloud infrastructure, data pipelines, model serving, and enterprise integrations.
• Ability to translate ambiguous customer problems into clearly scoped technical solutions.
• Strong communication skills and experience working with both technical and non-technical stakeholders.
• Depth in several of the following: generative image or video models, 3D generation or neural rendering, vector graphics and design systems, multimodal representation learning, creative software pipelines, or model fine‑tuning and inference optimization.

Nice to have

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