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Machine Learning Manager Jobs in Eagan, MN (NOW HIRING)

Deloitte

AI Solutions Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

Precision Technologies Corp

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Responsible for designing, implementing, and managing data and machine learning solutions on Google Cloud Platform * Key Responsibilities: * Design end-to-end data solutions, including data ingestion ...

Pwc

CTIO AI Engineering Manager

Minneapolis, MN · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Eagan, MN

Machine Learning Manager information

See Eagan, MN salary details

$52K

$83.3K

$120.3K

How much do machine learning manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for machine learning manager in Eagan, MN is $83,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $94,300.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are popular job titles related to Machine Learning Manager jobs in Eagan, MN? For Machine Learning Manager jobs in Eagan, MN, the most frequently searched job titles are:
What cities near Eagan, MN are hiring for Machine Learning Manager jobs? Cities near Eagan, MN with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Sr Engineering Manager - Advanced AI (Applied ML, LLMs, Deep Learning)

Sr Engineering Manager - Advanced AI (Applied ML, LLMs, Deep Learning)

Target

Minneapolis, MN

$132K - $238K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,915 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Job description

The pay range is $132,000.00 - $238,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A SR ENGINEERNG MANAGER - ADVANCED AI

About Target:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture.Learn more about Target here.

About the role:

Target's Advanced AI team builds end-to-end AI/ML systems that create meaningful business value across the enterprise. These systems may be powered by LLMs, classical machine learning, or deep learning models and are designed as scalable, reliable, production-grade applications, including agentic architectures where they add clear value.

As a Sr Engineering Manager for Advanced AI, you will lead a full-stack engineering team responsible for building, deploying, and maintaining high-quality AI/ML applications. Your team will include AI/ML Engineers, Full-Stack Software Engineers and Data Engineers working closely with Applied Data Scientists, Product partners, platform teams, security teams and business stakeholders. You will guide technical decisions across architecture, infrastructure, data, APIs, application design, reliability, observability, and security, while ensuring solutions comply with Target's enterprise requirements for infrastructure, platform architecture, security, data handling, and operational readiness.

You will also help define and evolve the technical roadmap for AI applications, balancing speed, quality, scalability, maintainability and business impact. This role requires strong coaching and talent development, including mentoring engineers across AI/ML engineering, full-stack software engineering and data engineering. You will manage multiple stakeholders and leader expectations by creating clarity around priorities, risks, tradeoffs, dependencies and outcomes. You will also stay current with developments in AI, machine learning, LLMs, agentic systems, and enterprise AI patterns, helping the team apply relevant advances thoughtfully. A successful Sr Engineering Manager in this role will help develop, own, and maintain multiple scalable AI applications that create measurable business value.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About you:

  • 4-year degree or equivalent industry experience
  • 7+ years of engineering experience including hands-on software development experience
  • 3+ years of experience managing engineering teams with a strong track record of delivering complex, cross-functional technology initiatives
  • Experience leading or working closely with teams of Data Scientists, AI/ML Engineers, Software Engineers and Data Engineers
  • Strong technical understanding of modern AI/ML application development including building and operating end-to-end systems in production (ML Ops)
  • Demonstrated experience with LLM-powered applications, agentic architectures, applied machine learning systems, data-intensive applications, or intelligent automation solutions
  • Strong proficiency with Python programming - experience with additional languages such as Java, Kotlin, Go, TypeScript, or similar a plus
  • Experience designing, building and operating scalable APIs, services, data pipelines, applications and data platforms
  • Strong understanding of cloud infrastructure, CI/CD, observability, reliability engineering, secure software development and enterprise technology standards
  • Excellent written and verbal communication skills with the ability to explain complex technical concepts to engineers, applied data scientist, stakeholders and Sr leadership
  • Demonstrated ability to manage ambiguity, align stakeholders, influence technical direction and drive clarity across competing priorities
  • Passion for coaching, mentoring, talent development, and building inclusive, high-performing global engineering teams
  • Successful track record of working in large enterprise technology ecosystems leading complex technology teams
  • Deep understanding of agile development processes and methodology including continuous integration and delivery, with a mindset of building incrementally and delivering business value quickly
This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member worksfull-time from home oran alternatelocation that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

Application deadline is : 08/27/2026

What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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