Define and execute the applied research roadmap for the Large User Model ecosystem, balancing immediate customer needs with long-term technical evolution to scale foundational models across high-traffic surfaces.

Support initiatives with product leadership to translate complex business goals into technical model formulations, delivering step-function improvements in user engagement and business metrics while optimizing for latency and performance trade-offs.

Optimize model performance by researching and implementing adaptation techniques (transfer learning/domain adaptation) that balances high-quality output with strict inference latency requirements for production environments.

Drive architectural improvements by establishing a strategic feedback loop with pre-training teams, utilizing downstream performance analysis to influence data curation, model architecture, and novel evaluation metrics for engagement-specific needs.

Design and productionize fine-tuning pipelines that translate general-purpose state-of-the-art (SoTA) Foundation User Models into effective, domain-specific recommendation engines.

Bachelor’s degree or equivalent practical experience.

8 years of experience in software development.

5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

5 years of experience with ML design (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning).

Experience with Transformer-based models (e.g., BERT, T5, GPT, ViT), including attention mechanisms and architecture variations.