Lead ML Engineer — Merchandising AI & ML Ops (Remote)

Socket.dev; Brooklyn Park (MN); Hybrid; USD 132,000 - 238,000; Full time

Job summary

Target is seeking a Lead Machine Learning Engineer – Merchandising AI to design and optimize production ML solutions at scale. You will work with data scientists, software engineers, and product managers to deliver end-to-end ML systems, from data pipelines to APIs, in a hybrid remote/on-site setup.

You should bring 5+ years in ML development, strong Python, and experience with Vertex AI, Docker, and Kubernetes.

Qualifications

• The candidate has a 4-year quantitative degree or equivalent experience.
• MS in CS/Applied Math/Stats/Physics or equivalent ML experience is required.
• 5+ years in end-to-end ML development including data pipelines, model optimization and deployment.

Responsibilities

• Design, implement, and optimize production ML solutions for merchandising AI.
• Build a maintainable, well-tested codebase with documentation and code reviews.
• Communicate findings to technical and non-technical stakeholders and mentor engineers.

Skills

4-year degree

MS in CS

5+ years ML

Python

CI/CD for ML

Vertex AI / GCP

Docker

Kubernetes

REST API

Big Data (Hadoop/Spark/Kafka)

Communication

Mentoring engineers

Collaboration with stakeholders

Education

4-year degree in quantitative disciplines

MS in CS/Applied Math/Stats/Physics

Tools

Docker

Kubernetes

Vertex AI (GCP)

Job description

Target is seeking a Lead Machine Learning Engineer – Merchandising AI to design and optimize production ML solutions at scale. You will work with data scientists, software engineers, and product managers to deliver end-to-end ML systems, from data pipelines to APIs, in a hybrid remote/on-site setup.

You should bring 5+ years in ML development, strong Python, and experience with Vertex AI, Docker, and Kubernetes.