Forward Deployed Engineer
AI summary of the role
Forward Deployed Engineer at Stability AI, bridging engineering and customer delivery to help creative teams and enterprises adopt generative AI across image, video, 3D, vector graphics, and design.
What you’ll do
- Partner with creative, technical, and business stakeholders to understand workflows and goals.
- Identify and implement generative AI opportunities across image, video, 3D, vector graphics, and design.
- Build prototypes, integrations, and production-ready solutions delivering measurable customer value.
- Adapt generative and multimodal models to customer-specific use cases, datasets, and brand requirements.
What you’ll bring
- Strong software engineering experience building and deploying ML/AI-powered applications.
- Bachelor's, Master's, PhD, or equivalent in CS, ML, Computer Graphics, Computer Vision, or related field.
- Experience with generative AI, multimodal systems, computer vision, graphics, or creative technology.
- Strong Python programming and experience with PyTorch.
Technologies
Python · PyTorch · generative AI · multimodal systems · computer vision · 3D generation · neural rendering · vector graphics · model fine-tuning · inference optimization
About Stability AI
Builds multimodal generative AI models and enterprise creative-production products spanning image, video, audio, and 3D, with deployment options across API, cloud partners, self-hosted licensing, and managed enterprise workflows.
Private Late · 100–200 people
Source and classification
Production engineering · Evidence for this classification:
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.
More from the job description
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 trans [... source excerpt omitted ...] lutions 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 fiel [... source excerpt omitted ...] 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 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. Ability to balance speed, technical quality, customer value, and scalability. Experience in several of the following areas: Generative image or video models 3D generation, reconstructio
Employer postings · Data from · Sources