Back to search
Our Client is seeking a Senior Data/AI/ML Software Engineer to build core Machine Learning (ML)/Natural Language Processing (NLP) systems that transform raw Electronic Record data into actionable insights. You'll work on cutting-edge Artificial Intelligence (AI) in production—leveraging knowledge graphs, Large Language Models (LLMs), and advanced NLP to solve some of the hardest, most data-intensive problems.Â
This is an early-stage, start-up where your work ships fast, gets direct feedback, and shapes the future of the product. This is a hybrid work environment, so some on-site work in San Francisco is required on a weekly basis.Â
What You'll Do
- Build and improve information extractors and summarizers that directly power applications used by end users daily
- Scrape, collect, extract, transform, query, analyze, mine, and distill structured/unstructured data to evaluate system quality and performance, draw insights, and expand/refine knowledge graphs
- Build and improve supporting data/AI/ML systems and automations
- Develop and deploy secure code, maintaining confidentiality, integrity, and availability of information systems and processes in compliance with applicable laws
- Participate in rotating on-call duties to ensure system uptime
Required Qualifications
- 7+ years of full-time experience in AI/ML or full stack software engineering (not internships or contract work)
- Built and improved production ML/NLP software systems primarily handling text/unstructured data
- Hands-on experience scraping, collecting, extracting, transforming, querying, analyzing, mining, distilling, and summarizing structured/unstructured data
- Directly worked on improving quality/performance of systems powered by document classifiers, information extraction, cleaning/integration, summarization, retrieval, semantic search, knowledge graphs, statistical/neural machine learning methods, and LLMs
- Computer Science (CS) or Engineering degree (advanced degrees in relevant fields are a plus)
Technical Skills
- Python for data wrangling/munging
- Proven software engineering skills
- Structured Query Language (SQL), relational data modeling, Django Object-Relational Mapping (ORM)
- Data/ML engineering skills
- Background knowledge in AI/ML/NLP/Information Extraction (IE)/Information Retrieval (IR) (information extraction/retrieval, semantic search, knowledge graphs, data integration, statistical/neural learning, LLMs, generative AI)
Tech Stack
- PyTorch
- Google Cloud Platform
- NLP techniques and tools
- Django ORM
- SQL databases
Desired Qualities
- Self-driven and hungry to quickly deliver good results for lasting impact
- Adaptive in a startup environment, responsive and proactive to dynamic priorities
- Brave and willing to crack ambiguity and bring clarifying results
- Excited by direct customer impact
- Familiarity with highly regulated domains are a plus
Learn more about this Employer on their Career Site
