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Machine Learning Engineer Intern Jobs in Buffalo, MN

As a Senior Engineer on the Machine Learning Platform team, you will develop new capabilities to support Data Scientists and other users at Target. You will gain insights into application ...

... machine learning libraries including xgboost, lightgbm, scikit-learn, and optuna; distribution fitting and changepoint detection tools such as fitter, ruptures, and pwlf; advanced feature engineering ...

... machine learning libraries including xgboost, lightgbm, scikit-learn, and optuna; distribution fitting and changepoint detection tools such as fitter, ruptures, and pwlf; advanced feature engineering ...

... machine learning libraries including xgboost, lightgbm, scikit-learn, and optuna; distribution fitting and changepoint detection tools such as fitter, ruptures, and pwlf; advanced feature engineering ...

Senior Software Engineer

Minnetonka, MN · On-site

$91K - $163K/yr

As a Sr. Software Engineer on the CE Payments team, you will be at the forefront of designing and ... machine learning tools, to deliver secure, intelligent solutions that strictly protect PHI, PII ...

As a Sr. Software Engineer on the CE Payments team, you will be at the forefront of designing and ... machine learning tools, to deliver secure, intelligent solutions that strictly protect PHI, PII ...

CNC Machinist Programmer

Elk River, MN · On-site

$66K - $93K/yr

J&J Machine Inc. is seeking a dependable CNC Programmer to join our growing team. In this role, you ... What We Offer * Growth & Learning: Continuous on-the-job training to advance your programming ...

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Showing results 1-20

Machine Learning Engineer Intern information

See Buffalo, MN salary details

$26.8K

$44.8K

$92.6K

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

As of Jul 14, 2026, the average yearly pay for machine learning engineer intern in Buffalo, MN is $44,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

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 job?

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 are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

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 cities near Buffalo, MN are hiring for Machine Learning Engineer Intern jobs? Cities near Buffalo, MN with the most Machine Learning Engineer Intern job openings:
Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys)

Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys)

Target Brands, Inc.

Brooklyn Park, MN • On-site

$98K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,906 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $98,000.00 - $176,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may 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 DATA SCIENTIST - RECOMMENDATIONS (RecSys)
About Us:
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.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization/RecSys rely on.
As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you'll perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment, and analyze performance and trade-offs. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. On the business side, you'll document and present work to technical and non-technical peers, build knowledge on business priorities and strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
  • MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant work experience
  • 3 plus years of experience developing machine learning models using deep learning frameworks such as PyTorch or JAX
  • Experience building recommendation, personalization, search, ranking or retrieval systems at scale
  • Strong programming skills in Python and SQL
  • Demonstrated experience with optimization, statistics, probability and experimental design
  • Experience evaluating models through offline analysis on large-scale datasets and online experimentation, including statistical analysis and interpretation of results
  • Knowledge of large-scale data processing and analytics platforms such as Spark
  • Extensive experience leveraging generative AI tools to accelerate development, experimentation and model delivery
  • Ability to communicate complex technical concepts and results to both technical and non-technical audiences
  • Demonstrated ability to translate business problems into scalable data science solutions
  • Self-driven, results-oriented and able to meet tight deadlines
  • Motivated team player who thrives in a collaborative - global environment

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, 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. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
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.

What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Target logo

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