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# ML / AI Engineer

- **Company:** Wintermeyer Ventures
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $200,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Software as a Service, Python (Programming Language), PostgreSQL, Machine Learning, Recommender Systems, Search Technologies, Retrieval-Augmented Generation, Large Language Models, Fastapi, Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/15_abc7d59c

## About the Role

* 3+ years in ML / AI roles building and shipping ML-powered features such as personalization, ranking, search, or recommendations at consumer product or AI companies.
 * Demonstrated experience taking ML-powered product features from 0 to 1 with tangible, user-facing results.
 * Hands-on custom ML model development with embeddings, recommendation systems, or personalization models (not limited to LLM prompting or wrappers).
 * Experience with data pipelines, vector databases, RAG, and semantic search infrastructure.
 * Familiarity with inference infrastructure and deployment in production environments.
 * Strong CS, Math, EECS, or equivalent technical foundation.
 * Background at a consumer product company or a leading AI company, ideally with early-stage startup experience.
 * Ability to work backwards from user experience to determine what ML system to build.
 * Comfort with ambiguity, fast iteration, and end-to-end ownership on a small, high-trust team.
 * Proficiency with Python; experience with FastAPI, PostgreSQL, and vector databases is a strong plus.

## Description

This is a founding-team ML / AI Engineer position at a consumer SaaS startup, where you will architect and build the intelligent systems that power core product experiences. You will own the full stack from data pipelines to user-facing AI features, working closely with product and design to make complex ML feel intuitive and magical.
What You'll Do

 * Architect and build ML and retrieval systems that power the core product experience.
 * Design and evolve data pipelines that ingest, classify, enrich, and summarize large volumes of user data.
 * Build scalable inference infrastructure for both real-time and batch workloads.
 * Lead model selection, fine-tuning, embeddings, RAG pipelines, evaluation frameworks, and quality measurement.
 * Prototype quickly to explore new ML-powered product ideas, then harden and ship what works.
 * Apply product judgment to make complex AI systems feel simple and delightful to end users.
 * Collaborate with product, design, and engineering to create features that feel alive and deeply useful.
 * Lay the groundwork for ML excellence inside a small, senior team.