Senior Machine Learning Engineer - AIOS
Core
Design, build, test, and maintain ML and AI capabilities for AIOS, focusing on knowledge retrieval, model integration, and production reliability.
Role type
Senior Machine Learning Engineer (AI/LLM Systems)
Builds
Production ML systems, knowledge ingestion pipelines, and AI-powered automation for AIOS.
Domain
Artificial Intelligence, Large Language Models (LLM), Knowledge Retrieval, NLP
Deliverable
production ML models
Required skills
Python, ML frameworks, LLM APIs, embeddings, vector databases, retrieval systems, data pipelines, model evaluation, system design, APIs, databases, testing, version control
Preferred skills
RAG systems, knowledge graphs, document understanding, semantic search, MLOps, model monitoring, cloud ML deployment, Kubernetes, Docker, distributed data processing, AI evaluation, hallucination mitigation, prompt testing, governance controls, security, privacy, technical writing
Responsibilities
Develop embeddings, vector search, ranking, and retrieval-augmented generation systems; Build evaluation workflows, test sets, scoring methods, and monitoring for AI and LLM-based systems; Write production-quality code for services, pipelines, automation, and product integrations; Improve ML system performance, latency, cost, reliability, and observability; Analyze model behavior and improve system quality using quantitative and qualitative metrics; Support traceability, explainability, governance, auditability, privacy, and human review workflows; Create technical documentation, model cards, evaluation notes, and operational runbooks; Collaborate with cross-functional teams to deliver ML system designs and software.
