Forward Deployed Engineer
Stability AI is hiring a Forward Deployed Engineer for a remote role open to applicants in United States. Level rates it ; you can apply on Stability AI.
Level's read on this job
- Builds AI ●●●● is how Level rates this forward deployed engineer role: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions PyTorch, Python and fine tuning among its tools and skills.
- Level classes it as a mid-level role.
- Stability AI has 4 other open roles on Level.
AI in this role
Deploy generative AI and multimodal solutions for creative teams by bridging customer needs with advanced visual computing models.
< 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 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, reconstruction, or neural rendering
- Vector graphics, layout, typography, or design systems
- Multimodal representation learning
- Creative software and production pipelines
- Model customization, fine-tuning, or inference optimization
Highly Desirable
- Experience in forward deployed engineering, solutions engineering, applied AI, machine learning engineering, or technical consulting.
- Experience delivering complex technical implementations for enterprise customers.
- Experience 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.
- 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.
Equal Employment Opportunity
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.
How we rate this
Forward Deployed Engineer at Stability AI rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in forward deployed engineer jobs at this level
Pay
- Typical forward deployed engineer job
- $182k
This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How do you decide that one model's output is better than another's for a given task?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Fine-tuning, AI Evaluation, Computer vision, Generative AI, and Machine learning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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