Senior Applied MLE
Zaimler
San Mateo, CA, USA
Posted on Mar 19, 2026
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 a small, senior team at the seed stage, deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of 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
- Build and/or use best-in-class models to extract knowledge from heterogeneous sources
- Develop methods to build and evaluate AI Data Graphs
- Fine-tuning LLMs with domain-specific context
- Work with data infra engineers to develop the best platform for your needs
Prior Experience
- MS degree in CS or equivalent
- Startup experience is highly preferred
- 3+ yrs experience in Machine Learning or Knowledge Extraction
- 3+ yrs experience working with text
- Experience working with and fine-tuning language models such as BERT, LLM, SLMs
- Experience with NLP tools such as spacy, openNLP, openNER, GLiNER, etc.
- Experience with embedding-based retrieval
- Strong background in the fundamentals of machine learning
- Deployed and maintained ML, NLP or LLM models in production
- Strong data manipulation skills using tools such as numpy and pandas
- Great communication skills and a team player
Nice to Have
- Familiar with LLM ecosystem and best practices of fine-tuning and prompt-engineering
- Experience working on ML and data in the cloud
- Experience with GPU optimization
- Experience working with docker, k8s
- Experience working with ray,vllm
We value builders over résumés. If this role excites you but you don't check every box, we still want to hear from you. zaimler is an equal opportunity employer.