🔍 Data & Machine Learning Engineer
📍 New York City (On-site, 5 days/week)
💰 $160,000 – $250,000 + 0.6%–0.9% Equity
About the Role
We’re looking for a Data & ML Engineer to play a pivotal role in shaping our ETL infrastructure, scaling data pipelines, and optimizing machine learning systems that forecast grocery demand. In this hybrid role, you’ll also collaborate directly with customers to ensure seamless technical integrations that drive measurable impact.
What You’ll Do
🔧 Engineering (80%)
- Design and implement scalable, production-ready ETL pipelines for processing large, multi-customer datasets.
- Optimize machine learning pipelines for accurate, high-performance demand forecasting.
- Contribute to backend services powering both mobile and web applications.
🤝 Customer-Facing (20%)
- Partner with customers’ technical teams to deliver smooth, reliable integrations.
- Work with internal supply chain and operations stakeholders to tailor systems to their unique business logic.
Why Join Us
🌱 Tangible Impact – Help grocers reduce food waste, improving profitability while driving positive environmental change.
🧠 Complex, Rewarding Challenges – Solve technical problems that blend data engineering, ML optimization, and custom business logic.
🚀 High-Growth Stage – We’ve scaled from $50K to $1M in revenue in just 8 months
What We’re Looking For
- Strong experience building ETL/data pipelines at scale.
- Hands-on experience with machine learning workflows and production optimization.
- Proficiency in Python and modern data engineering tools.
- Excellent communication skills and a desire to work closely with customers.
