What are the responsibilities and job description for the Solutions Engineer - Media Generation position at Career Renew?
We are the leading independent AI benchmarking and insights company. We support 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 30 , on track to double by mid-year, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, Deeplearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
We’re hiring a Solutions Engineer to manage our media generation benchmarking pipeline. You’ll run image and video generation evaluations, manage human preference studies, and serve as a technical point of contact for media generation model providers. This is a process-driven, operational role suited to someone who is detail-oriented, comfortable with Python, and can manage pipelines reliably day-to-day.
What You’ll Do
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Generate image and video outputs across models according to standardized evaluation protocols
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Set up and manage human preference evaluation studies, including study design, participant management, and quality control
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Process and analyze preference vote data to produce benchmark results
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Manage the end-to-end pipeline: from prompt execution through to published results
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Serve as a technical point of contact for media generation model providers — communicating results, explaining methodology, and handling queries
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Monitor data quality, flag anomalies, and ensure consistency across evaluation rounds
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Maintain documentation of processes and configurations
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Stay current with new image and video model releases
Requirements:
3 years of experience in a technical, client-facing role such as support engineering (Mandatory)
Proficient in Python scripting and working with APIs (Mandatory)
Background in data analysis, research operations, or other process heavy roles (Mandatory)
Experience with AI, particularly image/video generation models (Nice-to-have)
Comfortable in a purely operational/execution-focused role, not a builder role (Mandatory)