[Hiring] Senior Applied Machine Learning Engineer @Memory Bridge

Role Description

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.

Qualifications

• 5+ years total experience, with at least 3 years in software engineering and 2 years building ML/NLP systems
• Hands-on experience building LLM-powered systems with a focus on context management, memory persistence, or personalization features
• Production experience with vector databases (Pinecone, Weaviate, Chroma) and hybrid search systems combining semantic and keyword search
• Proven experience shipping LLM-powered features to production, with an understanding of prompt engineering, context window management, and API reliability patterns
• Hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, Mem0, MemGPT, Letta) for building complex AI workflows
• Demonstrated ability to implement hybrid search systems combining dense vectors, sparse indices, and metadata filtering
• Strong debugging skills for RAG pipelines, prompt reliability, extraction accuracy, and function calling/MCP integrations
• Experience with agentic architectures, including tool calling, MCP (Model Context Protocol), and function orchestration for database access and external integrations
• Experience with privacy-preserving ML techniques or building systems with strict data isolation requirements
• Expert Python programming, plus working knowledge of JavaScript/TypeScript for API integration and JSON schema design for LLM tool definitions

Requirements

• Understanding of AI system failure modes and fallback strategies—knows when to gracefully degrade vs. retry vs. escalate to human review
• 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.

Benefits

• Remote-native company designed for deep work and focused execution
• Asynchronous communication and radical transparency
• Commitment to sustainable performance—not burnout

How To Apply

At Memory Bridge, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We’re looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description.

All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the updated resume is essential.

Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.

Memory Bridge is an equal-opportunity employer and we’re excited to work with talented and empathetic people of all identities. Memory Bridge does not discriminate based on someone’s identity in any aspect of hiring or employment, as required by law and in line with our commitment to Diversity, Inclusion, Belonging, and Equity.