Senior Applied MLE
San Mateo, CARemoteFull-time
AI Summary
Senior ML Engineer focused on knowledge extraction, NLU, and fine-tuning LLMs to power a semantic knowledge graph platform. Builds and evaluates models, pipelines, and domain-specific context for AI data graphs.
About this role
About zaimler
AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.
zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.
zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk.
About the job
We are looking for a Machine Learning Engineer to join our team who is based in the Bay Area or willing to move. The ideal candidate should have expertise in one or more of the following areas: Knowledge Extraction, Natural Language Understanding, Unsupervised Learning, Information Retrieval, and Fine-tuning LLMs. In this role, you'll play a critical part in developing and training the models, pipelines, and methodologies that power our semantic graph systems. We're looking for someone with a strong background in machine learning, natural language processing, LLMs, and semantic technologies, with a proven track record of tackling complex, large-scale machine learning projects.
What You Will be Doing
Prior Experience
Nice to Have
Skills
BERTData ManipulationData PipelinesDockerDomain AdaptationEmbedding-based RetrievalFine-tuningGLiNERGPU OptimizationInformation ExtractionInformation RetrievalKnowledge GraphsKubernetesLLMsNLPNumPyOpenNEROpenNLPPandasProduction ML/NLP ModelsPrompt EngineeringRaySemantic TechnologiesSpaCyText ProcessingVLLM
