Iron Systems is an innovative, customer-focused provider of custom-built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances & embedded systems. For more than 15 years, customer have trusted us for our innovative problem solving combined with holistic design, engineering, manufacturing, logistic and global support services.
Job Title: Software Engineer II/ AI Multimedia Generation Product Evaluator
Location: US - CA - Remote (105700)
About Our Team:
- The Multimedia Generation team focuses on fine tuning and productionizing media foundational models in the GenAI space.
- The team consists of AI applied scientists of five members, each responsible for different products like videos, image editing, and developing evaluation metrics.
Job Description:
- We are seeking a highly motivated and detail-oriented individual to join our team as an AI Multimedia Generation Product Evaluator.
- In this role, you will support the evaluation of various AI multimedia generation products for images and videos.
- You will work closely with model development teams to conduct offline evaluations, connect offline metrics with online user behavior, and ensure offline metrics are predictive of online user engagement.
Responsibilities:
- Set up Halo tasks and run model inference
- Enqueue new queues to Halo Audit annotations from vendors
- Build necessary tooling for managing evaluation datasets
- Collaborate with model development teams to conduct offline evaluations and automate pipelines
- Facilitate, set up queues, manage image radio data, and audit results
- Ensure consistency and accuracy in measurements, involving programming and auditing tasks
Requirements:
- 1-2 years of basic Python knowledge, particularly in working with image/video data and JSON
- Experience in SQL and handling large data tables
- Experience in the image and video domain
- Ability to adapt to new code General know-how
- Flexibility in working hours Nice-to-Have Skills:
- Experience as a GenAI user in the image and video domain
- Basic shell script knowledge
Degrees/Certifications -
- Bachelor’s preferred, not required
Day-to-Day Responsibilities:
- Collaborate with model development teams to conduct offline evaluations, connect offline metrics with online user behavior, and ensure offline metrics are predictive of online user engagement. Main tasks include facilitating, setting up queues, managing image radio data, and auditing results.
About the Team:
- The Multimedia GenerationGenAI Media Foundations team focuses on finetuning and productionizing media foundational models in the GenAI space.
- The team consists of AI applied scientists, each responsible for different products like videos, image editing, and developing evaluation metrics.
- The role will support engineers in ensuring consistency and accuracy in measurements, involving programming and auditing tasks.
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