Pear VC

Founding AI Engineer

Pear VC

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

JuniorMid-Level

Tech Stack

BigQueryCloudERPGoogle Cloud PlatformKubernetesPythonSQLTerraform

About the role

  • Partner with founders to design data pipelines, build and deploy ML models, and shape product and architecture
  • Own product velocity across the full ML stack: cloud infra, data pipelines, model-serving endpoints, and lightweight dashboards
  • Prototype, demo to customers, iterate on feedback to ship ML features quickly
  • Scale forecasting engine and data ingestion workflows with automated retraining and drift monitoring
  • Design and build clean, scalable backends, APIs, and inference services
  • Stand up MLOps that scales across customers
  • Collaborate on architecture, product direction, hiring, and culture
  • Obsess over real-world outcomes: inventory turns, margin, and cash flow

Requirements

  • Prior startup experience (or serious appetite for it)
  • 2+ years relevant work experience
  • Fluent in Python & SQL
  • Track record of shipping ML systems to production: feature engineering, training, serving, monitoring, retraining
  • Deep exposure to a modern cloud ML stack (GCP: BigQuery, Vertex AI, Cloud Composer)
  • Strong systems design instincts and a bias for building pragmatic, scalable solutions
  • High-agency, low-ego
  • Based in the Bay Area — in office 5 days/week
  • Bonus: Hands-on production MLOps (drift detection, model registries, feature stores, explainability)
  • Bonus: Experience with time-series and unstructured data for forecasting/optimization
  • Bonus: Terraform & Kubernetes experience
  • Bonus: Mentoring early hires and contributing to culture
  • Bonus: Passion for supply chain, logistics, or the physical economy