Personalization & Memory Research Engineer (Frontier Models)

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

United States Digital Space LLC is seeking a Research Engineer/Research Scientist for the Personalization-Memory team in San Francisco. You will research and develop improvements to memory usage and personalization in frontier models, collaborating with research and product teams to influence technical solutions in the product.

The role emphasizes rapid iteration, experimentation with user signals, and a strong focus on product-driven research within a hybrid 3-days-in-office model in San

Qualifications

• Passion for personalization and building personalized assistants.
• Experience using user signals and human data to turn feedback into reliable signals for training/evaluation.
• Deep understanding of frontier model post-training and ML applications.
• Value principled research craftsmanship and rigorous methodology.
• Comfortable debugging large ML codebases and shipping results in fast-paced environments.
• Thrive in a technically complex environment with rapid iteration.

Responsibilities

• Own and pursue a research agenda for improving memory use and personalization in frontier models.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.
• Collaborate with research and product teams to influence technical solutions in the product.

Job description

United States Digital Space LLC is seeking a Research Engineer/Research Scientist for the Personalization-Memory team in San Francisco. You will research and develop improvements to memory usage and personalization in frontier models, collaborating with research and product teams to influence technical solutions in the product.

The role emphasizes rapid iteration, experimentation with user signals, and a strong focus on product-driven research within a hybrid 3-days-in-office model in San