Machine Learning Engineer

We’re looking for a Founding Lead Machine Learning Engineer to play a pivotal role in developing and training models, pipelines, and methodologies that power semantic graph systems. This is a founding role where you’ll have the chance to shape the future of the company's AI products and drive key decisions on all things machine learning.

What You’ll Do:

• Build and fine-tune best-in-class models for knowledge extraction and information retrieval from diverse data sources.
• Develop methods to construct and evaluate AI Data Graphs, integrating semantic learning and generative AI.
• Fine-tune large language models (LLMs) with domain-specific knowledge.
• Collaborate with data infrastructure engineers to build the best platform for your needs.

What We’re Looking For:

• 3+ years of experience in Machine Learning or Knowledge Extraction.
• Expertise in NLP, LLMs (e.g., BERT, GPT), and embedding-based retrieval.
• Strong background in ML fundamentals and experience deploying ML or NLP models in production.
• Familiarity with tools like spaCy, OpenNLP, and GLiNER.
• Startup experience is a huge plus!