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This position was posted on April 15, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Shipt, Inc. logo

Machine Learning Engineer

Job Overview

Location

US Remote

Job Type

Full-time

Category

Machine Learning Engineer

Date Posted

April 15, 2026

Full Job Description

đź“‹ Description

  • • As a Machine Learning Engineer on the Foundations team at Shipt, you will own the entire ML lifecycle—from creating proof-of-concepts and building production-ready systems to deployment, monitoring, and maintenance—directly impacting key business metrics through scalable, high-performance ML solutions.
  • • Day to day, you will design and conduct offline experiments to validate algorithmic changes, optimize model performance and scalability, and collaborate with cross-functional teams to deploy and maintain ML systems in production environments using Python and modern ML frameworks.
  • • You will join Shipt’s Foundations team, a retail tech company owned by Target Corporation, dedicated to connecting customers with reliable, high-quality delivery while fostering a culture of belonging, growth, and community impact across more than 5,000 U.S. cities.
  • • In this role, you will deepen your expertise in applied ML domains such as LLMs, Transformers, recommendations, and personalization, while advancing your software engineering skills in Python and gaining end-to-end ownership of ML systems in a fast-paced, innovation-driven environment.

Skills & Technologies

Python
Apache Spark
Remote
Degree Required

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Shipt, Inc. logo
Shipt, Inc.
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About Shipt, Inc.

Shipt, Inc. operates a U.S. same-day grocery and household goods delivery platform connecting customers with local retailers via a network of independent shoppers. Founded in 2014, the Alabama-based company partners with national and regional chains to offer on-demand ordering through mobile and web applications, charging membership or per-order fees. Services span groceries, alcohol, electronics, and pharmacy items across thousands of cities, leveraging crowdsourced labor to fulfill and deliver orders within hours.

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