Applied AI Leader: Build & Deploy Production LLMs

Black Ore; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive salary and equity

Best-in-Class health benefits

401K and Roth 401k

Parental Leave

Unlimited PTO

Relocation support

WFH stipend

Job summary

Black Ore in San Francisco is seeking an experienced Applied AI Leader to design, train, and deploy core AI systems. This hands-on role involves building models, writing code, and implementing NLP/LLM solutions for the Tax Autopilot workflow.

Ideal candidates have 8–12 years of experience in applied ML/NLP, strong Python and PyTorch skills, and the ability to work independently. The position offers competitive salary, equity, and comprehensive health benefits.

Qualifications

• 8–12+ years building and shipping applied ML / NLP / LLM systems in production.
• Strong experience in summarization, classification, extraction, and NER.
• Direct experience training, fine-tuning, evaluating, and deploying LLMs.
• Expert in Python and PyTorch with full ML pipeline ownership.
• End-to-end production ML experience.
• Strong debugging ability across the stack.

Responsibilities

• Design and implement NLP/LLM systems for various tasks.
• Own end-to-end model deployment into production environments.
• Translate operational and product problems into ML approaches.
• Ship production-ready Python and service code.

Skills

Applied ML / NLP / LLM systems

Summarization

Classification

Extraction

NER

Python

PyTorch

Debugging across the stack

Job description

Black Ore in San Francisco is seeking an experienced Applied AI Leader to design, train, and deploy core AI systems. This hands-on role involves building models, writing code, and implementing NLP/LLM solutions for the Tax Autopilot workflow.

Ideal candidates have 8–12 years of experience in applied ML/NLP, strong Python and PyTorch skills, and the ability to work independently. The position offers competitive salary, equity, and comprehensive health benefits.