Health Tech & AI Startup: Founding ML Engineer

Company Size: < 10 PeopleIndustry: HealthTech, AI, SoftwareFounding Year: 2023Stage: SeedInvestors: Backed by First Minute Capital, Maverick and Top Harvest Capital, along with high-profile angel investors including the founders of Datadog, Okin, and Front.Tech Stack/Key Tech: Python, Typescript, AWS. ML/NLP, graphRAG, RAG, spaCy, MedBert

What we are looking for:

• Be part of the next decacorn and have stake in it
• Develop a cutting-edge AI platform that automates complex workflows and leverages advanced ML techniques, including Retrieval-Augmented Generation (RAG).
• Pioneer the next generation of AI-powered solutions for critical business challenges, with an initial focus on healthcare.
• Design, code, and debug complex software applications, focusing on performance, reliability, and maintainability, with a strong emphasis on backend development.
• Impact early-stage technical decisions that will shape the platform and infrastructure as the company prepares for hypergrowth.
• Collaborate with cross-functional teams and customers to deliver innovative, scalable, and efficient solutions

What You'll Need to be the Founding ML Engineer:

• Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, or related fields.
• 5+ years of experience in machine learning and software development.
• Proficiency with Python and ML libraries, tech stack above.
• Experience deploying and maintaining machine learning models in production environments.
• Passion for pushing the boundaries of technology and driving innovation.
• Proven ability to thrive in a collaborative and fast-paced startup environment, where your contributions directly influence the company’s direction and success.
• Previous experience as a founder or early employee of a venture-backed startup is highly preferred

What You’ll Get

• Competitive salary and equity.
• The opportunity to join a high-impact, early-stage startup at the ground level.
• Work closely with visionary founders to build transformative solutions.
• Dynamic work environment with significant growth potential.