We are seeking a Founding ML/AI Engineer to shape the technical vision and product strategy of an innovative AI company at the intersection of aviation and advanced machine learning. The role requires end-to-end ownership of core AI systems, from architecture and model development to deployment and optimization, within an early-stage startup environment. Key requirements include 4-7 years of production ML/AI engineering experience, deep expertise in NLP/Speech AI/Audio ML, and strong proficiency with LLMs including RAG, fine-tuning, and prompt engineering.
Key Highlights
Key Responsibilities
Technical Skills Required
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Job Description
Hiring Founding ML/AI Engineer | San Francisco, CA
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This is a unique opportunity to join at an early stage, take ownership of core AI systems, and help build a category-defining platform from the ground up.
Location: San Francisco, California (On-site)
Compensation: $170,000–$220,000 Base Salary + Meaningful Equity
Visa Sponsorship: Available
Start Date: Immediate availability preferred
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• 4–7 years of experience in production ML/AI engineering
• Demonstrated success deploying and scaling machine learning systems in real-world environments
• Deep expertise in Natural Language Processing (NLP), Speech AI, or Audio Machine Learning
• Strong experience with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering
• End-to-end ownership of ML products, from architecture and model development to deployment and optimization
• Experience building and scaling products within early-stage startup environments
• Proven architectural leadership and ability to drive technical decision-making
• Proficiency with modern AI development workflows and tools, including Cursor and Claude Code
• Aviation domain expertise is highly desirable
• Prior experience as a Founding ML Engineer is a significant advantage
Who We're Looking For
A highly entrepreneurial engineer who combines deep technical expertise with strong product instincts, thrives in fast-paced environments, and is passionate about translating cutting-edge AI research into impactful production systems.
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