Senior AI/Machine Learning Software Engineer

Senior Data/AI/ML Software Engineer

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. 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.

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

Location: Hybrid - Bay Area Compensation: $140K - $290K