Founding Machine Learning Engineer
Description For Founding Machine Learning Engineer
Join a venture-backed startup that's revolutionizing how enterprises prepare their data for the AI era. We're building cutting-edge solutions to bridge the gap between enterprise business knowledge and data, making data discovery and curation more accessible and efficient. Our mission is to help organizations prepare for the generative AI era by solving the challenges of complex, poorly integrated, and siloed data tools.
Our team comprises seasoned experts from prestigious companies like LinkedIn, Visa, Truera, Hive, and Branch, who have spent decades building specialized systems to address these challenges. We're seeking a Founding Machine Learning Engineer to play a crucial role in developing our semantic graph systems.
The ideal candidate will bring expertise in Knowledge Extraction, Natural Language Understanding, Unsupervised Learning, Information Retrieval, and Fine-tuning LLMs. You'll work on sophisticated machine learning projects, developing and training models, pipelines, and methodologies that power our semantic graph systems.
This is an opportunity to shape the future of enterprise AI, working alongside ML research and data infrastructure experts. You'll be at the forefront of integrating semantic learning with generative AI, tackling complex challenges in data science and machine learning. The role requires strong technical skills, experience with modern ML tools and frameworks, and the ability to work effectively in a startup environment.
Based in the Bay Area, you'll be part of a team that's committed to making enterprise data AI-ready faster, more reliably, and with a stronger foundation of factual semantic knowledge. This role offers the chance to make a significant impact on how organizations handle and prepare their data for the AI revolution.
Responsibilities For Founding Machine Learning Engineer
- Build and 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
Requirements For Founding Machine Learning Engineer
- MS degree in CS or equivalent
- 3+ years experience in Machine Learning or Knowledge Extraction
- 3+ years experience working with text
- Experience working with and fine-tuning language models (BERT, LLM, SLMs)
- Experience with NLP tools (spacy, openNLP, openNER, GLiNER)
- Experience with embedding-based retrieval
- Strong background in machine learning fundamentals
- Experience deploying and maintaining ML, NLP or LLM models in production
- Strong data manipulation skills using numpy and pandas
- Great communication skills and team player
- Startup experience highly preferred
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