Stability AI FDE

Forward Deployed Engineer

  • Location United States
  • Seniority senior
  • Posted 2026-09-01

Original posting ↗ You apply on the company site — we never collect applications.

Extracted automatically from public job postings. Always verify details on the original posting before applying.

role details

Builds prototypes and production-ready solutions that integrate generative AI with customer workflows and systems.

Summary generated by AI from the original posting.

Hard requirements to check first

  • Clearance:not mentioned in the posting
  • Work auth:not mentioned in the posting
  • Travel:customer-facing; travel not stated

Skills

PythonPyTorchFineTuningGenerative AIMultimodal systemsComputer visionGraphicsCreative technologyAPIs

Excerpt from the original posting

Forward Deployed Engineer 

< Remote >

About the Role 

We are seeking a Forward Deployed Engineer to help creative teams and enterprises adopt generative AI across image, video, 3D, vector graphics, and design.

This role sits at the intersection of engineering, applied AI, product, and customer delivery. You will work directly with customers to understand complex workflows, identify high-value opportunities, and build solutions that connect emerging AI capabilities with real production environments.

The ideal candidate combines strong software engineering skills with experience in generative AI and visual computing. You should be comfortable moving from an ambiguous customer problem to a working prototype and, ultimately, a reliable production solution.

Responsibilities 

- Partner with creative, technical, and business stakeholders to understand their workflows, systems, and goals.

- Identify opportunities to apply generative AI across image, video, 3D, vector graphics, and design.

- 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.

- Work with research, product, engineering, and design teams to translate customer needs into technical requirements and product direction.

- Evaluate solutions based on quality, controllability, consistency, reliability, and production usefulness.

- Diagnose technical issues across 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 deployment.

Qualifications 

- 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 related field.

- Experience with generative AI, multimodal systems, computer vision, graphics, or creative technology.

- Strong programming skills in Python and experience with frameworks such as PyTorch.

- Experience turning prototypes and experiments into reliable production systems.

- Familiarity wi…

Stability AI · Greenhouse

Verify before you apply

  • The title, level and compensation match the original posting.
  • The role is still open — postings often close without notice, we drop them within 10 days of disappearing.
  • What "remote" means here: sometimes it is remote within one country only. The location field shows the employer’s own wording.
  • Work authorization, visa sponsorship and security clearance — these are the most common reasons an application goes nowhere.