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Top pay

Forward Deployed Engineer

Stability AI · company siteEstimate24d

1 · Can you apply from ?

Open to
United StatesExact words from the ad · found 26 Sep 2026

2 · What reaches you

1Pay
2Platform fee− $0
3Payout fee · Wise− $0 – $6.11
≈ In your money
$18,733 / month

Wise fee page, checked 25 Sep 2026
Fixed fees assume one withdrawal a month.

3 · How you get paid

Unknown — ask the company

How often
Unknown
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First money
Unknown
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4 · Your working hours

Not stated

The ad doesn’t say which hours. Ask the company.

5 · Trust

Company site · found 26 Sep 2026
No one should ask you to pay to work.
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They ask for

Experience not statedNo degreeGraphic designPythonMachine learning

Full description

Shown as posted, in English

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 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.

Apply on the company site
Top pay
JobStability AI · company siteEstimatePosted 24d ago

Forward Deployed Engineer

1 · Can you apply from ?

Open to
United StatesExact words from the ad · found 26 Sep 2026

4 · Your working hours

Not stated

The ad doesn’t say which hours. Ask the company.

5 · Trust

Company siteFound 26 Sep 2026
No one should ask you to pay to work.
Something wrong?Report this post

They ask for

Experience not statedNo degreeGraphic designPythonMachine learning

Full description

Shown as posted, in English

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 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.