- Have built data collection or evaluation pipelines for pre-training or post-training AI models
- Have experience in working side-by-side with ML researchers or ML infrastructure teams to build large scale ML / AI models
- Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment
- Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress
- Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area
- Have worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers.
- Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution.
- Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.
- Create model prototypes to prove out new feature directions and scope projects.
- Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
- Foster a culture of collaboration, continuous improvement, and growth.
- Advance the AI frontier responsibly
- Bachelor's Degree AND 8 years experience in product/service/program management or software development OR equivalent experience.
- 2 years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety.
- Experience building and shipping data pipelines or evaluation systems personally.
- A technical postgraduate degree is strongly preferred; a PhD is ideal but not mandatory.
- Demonstrated ability to bring enterprise or developer products to market by deeply engaging with end customers.
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