[Hiring] Senior Machine Learning Engineer @Memory Bridge

Role Description

ما به سراغ یکی از چالش‌برانگیزترین مسائل هوش مصنوعی رفته‌ایم: اینکه چطور می‌توان با کمترین خدشه‌ به حریم خصوصی کاربران، حافظه‌ای بی‌نقص برای مدل‌های زبانی بزرگ فراهم کرد. اگر شما یک مهندس یادگیری ماشین باتجربه هستید که فراتر از آموزش‌های سطحی در زمینه‌ی بازیابی تقویتی با کمک تولید فکر می‌کنید و باور دارید ساخت یک سیستم حافظه‌ی واقعی و قابل اتکا در دنیای واقعی، قبل از هر چیز نیاز به مهارت عمیق در مهندسی نرم‌افزار دارد، جای شما در تیم ما خالی است.

در این نقش، شما مسئول طراحی و پیاده‌سازی موتور مرکزی بازیابی اطلاعات خواهید بود که تجربه‌ی کاربران را در گفتگوهای شخصی‌سازی‌شده فیلتر و به‌روزرسانی می‌کند. اگر تجربه‌ی برنامه‌نویسی حرفه‌ای دارید، در مسیر پردازش زبان طبیعی/یادگیری ماشین رشد کرده‌اید، ما مشتاق شنیدن از شما هستیم.

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

• Design and implement the core memory subsystem architecture, including storage tiers, retrieval pipelines, and privacy-aware filtering mechanisms
• Build evaluation frameworks to measure memory retrieval quality, relevance scoring, and augmentation effectiveness with clear metrics and benchmarks
• Implement sophisticated memory extraction and classification systems that identify, rank, and surface relevant user context from chat histories
• Research and adapt cutting-edge memory architectures from academic papers and open-source implementations (e.g., MemGPT, Reflexion, cognitive architectures)
• Architect the memory update pipeline that learns from user interactions, including relevance feedback, correction mechanisms, and adaptive privacy classification
• Design hybrid search strategies that combine semantic embeddings with structured metadata, graph relationships, and temporal patterns for optimal memory retrieval
• Collaborate with PM to define technical constraints and feasibility for memory system features
• Takes ownership of production reliability for AI features—comfortable being on-call for prompt failures, extraction issues, or integration breakdowns
• Understanding of AI system failure modes and fallback strategies—knows when to gracefully degrade vs. retry vs. escalate to human review

Benefits

• Remote-native company designed for deep work and focused execution
• Culture thrives on asynchronous communication, radical transparency, and a commitment to sustainable performance
• Encouragement to apply even if skills and experiences don’t exactly match the job description
• Equal-opportunity employer committed to Diversity, Inclusion, Belonging, and Equity

Company Description

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

We are excited to work with talented and empathetic people of all identities.