Senior Engineer, MLOps Platform

Target

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MN
Salary
$98,000–$176,000 / yr
Posted
25 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $137k
$84k most similar roles pay here $232k

This role pays less than 80% of similar roles. Most pay $144,975–$218,081 — the shaded band above. At the midpoint, this role pays about $137k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Target

Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail

Target currently has 58 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 58 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Senior Engineer, MLOps Platform

Sr Engineer - MLOps Platform As a Sr Engineer on the MLOps Platform team, you will design, build, and evolve an enterprise platform that enables teams to develop, deploy, and operate machine learning and Generative AI solutions at scale. You will create APIs, microservices, and event-driven systems supporting LLMs, RAG, embeddings, vector search, and agentic applications. Your daily work involves building secure, reliable developer experiences for Data Scientists while implementing observability, governance, and infrastructure automation. The role requires proficiency in Java or other object-oriented languages, along with experience in Python, REST APIs, Docker, Kubernetes, Git, and CI/CD. You will solve complex problems regarding the machine learning lifecycle, including model training, serving, and monitoring. You will integrate cloud AI services and manage distributed systems to move AI projects from experimentation into production environments using tools like GCP and Vertex AI.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

What you'll do

  • Design, build, and operate scalable services for an enterprise MLOps platform supporting ML and Generative AI workflows.
  • Develop APIs, microservices, and event-driven systems to support model development, deployment, serving, and monitoring.
  • Enable Generative AI use cases including LLMs, RAG, embeddings, vector search, and agentic applications through reusable capabilities.
  • Integrate the platform with cloud AI/ML services, data platforms, model providers, and enterprise systems.
  • Build automation and self-service tools to improve developer and Data Scientist productivity.
  • Implement observability, evaluation, governance, security, and reliability features across the machine learning lifecycle.
  • Optimize platform services for scalability, availability, performance, and cost efficiency.
  • Apply engineering best practices including automated testing, CI/CD, infrastructure automation, and code reviews.

What we're looking for

  • 5+ years of professional software engineering experience building and operating production systems.
  • Strong proficiency in Java or a comparable object-oriented programming language.
  • Experience with REST APIs, microservices, distributed systems, SQL/NoSQL databases, Docker, Kubernetes, Git, and CI/CD.
  • Experience building or supporting platforms, developer tooling, or infrastructure services.
  • Understanding of the machine learning lifecycle and familiarity with MLOps practices for production ML systems.
  • Experience with cloud platforms; GCP preferred.
  • Familiarity with Generative AI technologies including LLMs, RAG, embeddings, vector databases, and AI agents.
  • Experience building or operating enterprise MLOps/AI platforms or using Vertex AI (preferred).

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