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Machine Learning Engineer Intern Jobs in Minneapolis, MN

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

We're looking for a Principal Machine Learning Engineer to build AI features for the family. Qualifications: * A confident craftsperson who possesses problem-solving tools and can discuss multiple ...

Mercy

Ada - Sonography Intern - PRN

Anoka, MN · On-site

This position provides hands-on training and exposure to diagnostic imaging techniques, with a focus on learning the practical and theoretical aspects of ultrasound technology. The intern will assist ...

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

... night programming, including setup, food coordination, games, and small group curriculum ... Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship ...

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

... night programming, including setup, food coordination, games, and small group curriculum ... Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship ...

Anoka County, MN

Victim Witness Intern

Anoka, MN · Hybrid

Position Description The Victim Witness Intern supports the department's operational and administrative needs. Work includes assisting with general victim/witness support tasks including generating ...

New

Target

Principal Engineer - AI /ML Platform

Minneapolis, MN · On-site

$168K - $356K/yr

You will establish enterprise-wide standards for machine learning lifecycle management, deployment ... Mentor engineers and influence technical direction across multiple engineering organizations. Core ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Minneapolis, MN

Machine Learning Engineer Intern information

See Minneapolis, MN salary details

$26.6K

$44.4K

$91.9K

How much do machine learning engineer intern jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning engineer intern in Minneapolis, MN is $44,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Minneapolis, MN? The most popular types of Machine Learning Engineer jobs in Minneapolis, MN are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Minneapolis, MN? For Machine Learning Engineer Intern jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Minneapolis, MN look for? The top searched job categories for Machine Learning Engineer Intern jobs in Minneapolis, MN are:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Minneapolis, MN as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $44,449 per year, or $21.4 per hour.

Principal AI / ML Engineer

NxT Level

Minneapolis, MN • On-site

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.
Qualifications:
  • A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
  • A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
  • A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
  • An advocate for team collaboration and open communication.
  • Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
  • Significant experience in AI/ML engineering with a strong data science background.
  • Demonstrated ability in designing and training LLMs.
  • Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications.
  • Proficiency with AWS Bedrock and Comprehend.
  • Demonstrated leadership in AI/ML solutions in a commercial environment.
  • Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
  • Proven ability to lead and inspire teams of senior engineers and data scientists.
  • Effective individual contributor within a collaborative team environment.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities:
  • Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
  • Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
  • Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
  • Lead data science practices, including model selection and training methodology.
  • Build, train, manage, and host LLMs using Data Lakehouse data.
  • Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
  • Ensure ethical standards and data privacy compliance in AI solutions.
  • Provide specialized AI/ML expertise to guide the development and optimization of AI features.
  • Stay updated on the latest AI/ML and data science trends, especially in LLMs and AWS, Databricks/Apache Spark technology.

Benefits:
  • Full Medical Coverage: OFW covers 100% of premiums for employees and their families.
  • 401k: Up to a 4% match with immediate vesting.
  • 12 weeks of paid leave for all new parents.
  • Learning & Development stipend for employees.
  • Supportive and flexible working environment, allowing remote work from anywhere.

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