Forward Deployed Engineer - Media Generation

Job Description – Forward Deployed Engineer – Media Generation

Location: San Francisco, CA (on-site, 5 days a week, in our San Francisco office)

About Artificial Analysis

Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.

Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.

We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai , Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.

The Opportunity

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.

What You’ll Do

• 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

What We’re Looking For

Required:

• 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 have (not required):

• 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

Why Artificial Analysis?

• Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.

• Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.

• Work with the most important players in AI: You’ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.

• Join at a defining moment: We’re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.

• Competitive compensation including equity