Forward Deployed Engineer - Media Generation
About The Position
Artificial Analysis benchmarks the leading image and video generation models, providing the AI industry with independent quality and performance comparisons built on structured human preference evaluations. We’re hiring a Forward Deployed Engineer to own our media generation benchmarking pipeline end to end and act as the technical face of Artificial Analysis to media generation model providers. You’ll run image and video evaluations, manage human preference studies, and be the point of contact providers rely on for results, methodology and queries. This is a process-driven, deployed role for someone who is detail-oriented, comfortable with Python, and takes pride in running pipelines reliably day after day, while representing our platform to some of the most creative AI companies in the world.
Requirements
- 3+ years of experience in a client-facing technical role - solutions engineering, support engineering, technical consulting, or similar (companies like Stripe, Vercel, Cloudflare, Datadog, Palantir, Accenture, or comparable)
- Strong Python proficiency and comfort working with complex codebases you didn’t write
- Hands-on experience working with AI model APIs, ideally image or video generation APIs (OpenAI, Google, Black Forest Labs, or similar)
- Excellent debugging skills; you can trace issues across APIs, data pipelines, and code
- Strong written and verbal English communication skills, with the ability to explain technical concepts clearly to technical stakeholders
- Highly responsive and reliable; you take ownership of customer issues and follow through
- Comfortable with operational, repeatable work; you find satisfaction in running things exceptionally well
- High attention to detail and calm under pressure
Nice To Haves
- Experience managing research studies, data collection pipelines, or crowdsourcing platforms
- Experience with image or video generation models (e.g. Sora, Veo, Kling, Midjourney, FLUX, Runway or similar)
- Background in data analysis or research operations
- Familiarity with human evaluation methodologies or preference-based ranking systems
- Experience in B2B SaaS or developer tools
Responsibilities
- Generate image and video outputs across models according to standardized evaluation protocols
- Set up and manage human preference evaluation studies, including study design, participant management, and quality control
- Process and analyze preference vote data to produce benchmark results
- Manage the end-to-end pipeline, from prompt execution through to published results
- Serve as a technical point of contact for media generation model providers: communicating results, explaining methodology, and handling queries
- Monitor data quality, flag anomalies, and ensure consistency across evaluation rounds
- Maintain documentation of processes and configurations
- Stay current with new image and video model releases
Benefits
- Competitive compensation including equity
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
