Sr. Applied ML Engineer

At Memory Bridge , we’re tackling one of the hardest problems in AI: Large language models perfect memory while preserving user privacy.

We’re looking for an exceptional ML Engineer who sees beyond simple RAG tutorials and understands that building production-grade memory systems requires deep software engineering expertise first, ML knowledge second. You’ll architect and build the core retrieval engine that powers personalized AI experiences across conversations, privacy-aware filtering, and adaptive memory updates.

This is a rare opportunity to join our team as the founding ML engineer, where your code will directly shape how AI systems remember and learn. If you’re a strong programmer who has evolved into NLP/ML, we should talk.

The ideal candidate has evolved from senior software development into NLP/ML, bringing the architectural thinking and code craftsmanship needed to tackle complex memory persistence, multi-tier retrieval, and real-time personalization challenges that separate production systems from proof-of-concepts.

You champion frequent deployments. You believe in shipping code regularly and improving through real-world feedback rather than seeking perfection.

You solve problems creatively. You tackle challenges with a can-do attitude, recognizing when to build new features versus strengthening foundations.

Design and implement the core memory subsystem architecture, including storage tiers, retrieval pipelines, and privacy-