Afresh - Staff Software Engineer, ML Platform

• BS in Computer Science or a relevant technical field. • 7+ years of professional software development experience with a proven track record of shipping high-quality applications and services. • Experience working collaboratively with machine learning engineers, data scientists, or applied scientists on large-scale software projects involving machine learning models. • machine learning engineers, data scientists, or applied scientists • You possess a genuine curiosity about ML modeling (e.g., demand forecasting, state estimation, ordering policy). You aren't just building "pipes"; you want to understand what is flowing through them. • You have a deep understanding of how scientists work and build tools that bridge the gap between a research notebook and production-grade software. • Technical leadership experience and a demonstrated ability to mentor junior engineers. • Deep expertise in library design, API design, data structures, and algorithms. • Strong familiarity with the Python ecosystem (NumPy, Pandas, Torch, PySpark). While our stack is Python-heavy, we value engineers who are stack-agnostic and focus on solving fundamental distributed systems problems. • Python • NumPy, Pandas, Torch, PySpark • Proven ability to architect high-throughput distributed inference systems using Spark, Dask, or Ray. • Spark, Dask, or Ray • Experience in engineering robust data architectures with a focus on schema evolution and performance tuning. • schema evolution • Experience with end-to-end orchestration (lineage tracking, resource scheduling, self-healing pipelines). • Tech Stack: Our backend is pure Python (NumPy, Pandas, Torch, PySpark, Cython, orchestrated in Airflow). We use Databricks as our data warehouse. While we'd like you to have very good familiarity with Python, many of our problems are stack-agnostic. • This position is not eligible for company sponsorship. • Salary Band in Canada (CAD): $148,000 - $242,000 • Founded in 2017, Afresh is using AI to tackle the #1 solution to curb climate change: reducing food waste. By building AI specifically for the intricacies of grocery—from the fresh perimeter to the center store—we help grocers minimize waste and maximize sales. • Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals, including ICML, and our investors include Al Gore’s Just Climate, former Whole Foods Market CEO Walter Robb, and Eric Schmidt's Innovation Endeavors. • Grocery is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.