Senior Software Engineer - Back-end, ML
Listed on 2026-06-13
-
Software Development
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
More than 40% of all fresh produce is wasted in the US, which accounts for over 17 billion dollars in lost product annually and contributes more CO’2 emissions than all of US transportation combined. Strella’s goal is to reduce these drastic numbers by making the produce supply chain smarter.
Strella predicts the shelf life of perishable products through a combination of proprietary sensors, machine vision, and supply chain insights. We use this data to reduce food waste and help deliver better quality produce to consumers. We’re growing the team to scale, improve our product offerings, and build new products.
Working at StrellaWe hire smart people and trust them to get their job done. We’re doing valuable, exciting work and that is what drives us. Nothing is above or below our pay grade. As engineers, scientists and produce experts, we are driven by the problem and take ownership of developing the best solution for our customers.
LocationSeattle, WA
Hybrid
We are looking for an ambitious, quality-driven Senior Software Engineer to help build and maintain our product offerings in various development stages in a scalable way. You will drive innovation across the Strella product line, building brand new products and supporting legacy applications. You will work across the back-end, from code to APIs to infra to databases. You will serve as a bridge between dev and data science, helping turn designs for machine learning models into reality building data pipelines, training environments, inference models, and deploying to production environments fully integrated with the product.
RequiredSkills
- Languages:
Typescript, Python - Database:
Relational (Postgre
SQL), Time series (Timescale
DB) - Front-end frameworks:
React - Cloud infrastructure: AWS, Azure, GCP
- Machine Learning: pipelines, ops, deployment, monitoring. Experience with multi-cpu/gpu environments.
- Computer vision, experimentation, evaluation of data models
- Serverless architecture (Lambda, Google Cloud Functions, ECS, Cloud Run)
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