Seed, Health tech & AI: Founding Machine Learning Engineer
San Francisco
StackedSP
Company Size: < 10 PeopleIndustry: HealthTech, AI, SoftwareFounding Year: 2023Stage: SeedInvestors: Backed by Maverick, First Minute Capital, 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
We're looking for a Founding ML Engineer to:
- 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
- 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
- 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.
- Fast-paced, dynamic work environment with significant growth potential.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Categories:
Deep Learning Jobs
Engineering Jobs
Machine Learning Jobs
Tags: AWS Computer Science Engineering Machine Learning ML models NLP Python RAG spaCy TypeScript
Perks/benefits: Career development Competitive pay Equity / stock options Startup environment
Region:
North America
Country:
United States
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