Senior Applied MLE

zaimler is building a semantic platform connecting fragmented enterprise data and extracting meaning with knowledge-distilled models. They're seeking a Machine Learning Engineer based in the Bay Area to develop and train models for their semantic graph systems. The role involves building models, pipelines, and methodologies, with a focus on knowledge extraction, natural language understanding, and LLM fine-tuning.

Requirements

• MS degree in CS or equivalent
• 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