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Entry Level Machine Learning Engineer Jobs in Minneapolis, MN

Tennant Company

Machine Learning Engineer

Golden Valley, MN · On-site

$119K - $122K/yr

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

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Entry Level Machine Learning Engineer information

See Minneapolis, MN salary details

$31.3K

$72.4K

$123.2K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry level machine learning engineer in Minneapolis, MN is $72,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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 Entry Level Machine Learning Engineer jobs in Minneapolis, MN? For Entry Level Machine Learning Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Minneapolis, MN look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Entry Level Machine Learning Engineer jobs? Cities near Minneapolis, MN with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $72,408 per year, or $34.8 per hour.

Machine Learning Engineer II

AeroVironment

Minneapolis, MN

$102K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 16 days ago

AeroVironment rating

9.1

Company rating: 9.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

7th of 72 rated aerospace companies

Job description

Worker Type

Regular


Job Description

Special Requirements: U.S. Citizenship required

Summary

The Machine Learning Engineer II will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications. These development efforts will generally be small focused design teams which will require a senior machine learning engineer to use a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position will work on a variety of stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation and validation and verification testing.

Position Responsibilities

  • Support development of computer vision and machine learning algorithms capable of detection, classifying, localizing, and tracking objects-of-interest from a group 1 UAV using the existing gimballed camera payload

  • Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other robotic systems.

  • Explore and visualize data to gain an understanding of it, then identifying differences in data distribution that could affect

  • Implement Machine Learning systems and validate designs through a series of purpose-designed experiments

  • Create objectives and develop models that help to achieve them, along with metrics to track their progress

  • Perform analysis tasks using AeroVironment and industry developed tools

  • Managing available resources such as hardware, data, and personnel so that deadlines are met

  • Analyze the ML algorithms to solve a given problem and ranking them by their success probability

  • Performance when deploying the model in the real world; Verify data quality, and/or ensure it via data cleaning

  • Analyze the errors of the model and designing strategies to overcome them

  • Study and transform data science prototypes; Research and implement appropriate ML algorithms and tools

  • Select appropriate datasets and data representation methods; Run machine learning tests and experiments

  • Works on problems of moderate scope where analysis of situations or data requires a review of variety of factors. Exercises judgment within defined procedures and practices to determine appropriate action

  • Other duties as assigned

Basic Qualifications (Required Skills & Experience)

  • BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience - with qualifications in any of the following fields: Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering

  • Minimum of 2 - 5 years' relevant experience

  • Familiarity with C/C++ and Matlab required

  • Familiarity with office software and computer-based productivity tools

  • Demonstrated ability to troubleshoot complex systems

Other matrixed skills include:

  • Proficiency with a deep learning framework such as TensorFlow or Keras

  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas

  • Expertise in visualizing and manipulating big datasets

  • Proficiency with OpenCV

  • Familiarity with Linux

  • Ability to select hardware to run an ML model with the required latency

  • Computational statistics

  • Mathematical optimization

  • Data mining

  • Exploratory data analysis

  • Predictive analytics

Special Requirements: U.S. Citizenship required

Other Qualifications & Desired Competencies)

  • Works well within defined requirements to complete tasks under moderate supervision

  • Must be a team player and collaborate effectively

  • Excellent verbal and written skills

  • Has effective problem-solving, analytical and interpersonal skills

  • Able to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties

  • Displays strong initiative and drive to accomplish goals and meet company objectives

  • Takes ownership and responsibility for current and past work products

  • Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company

Physical Demands

  • Ability to work in an office and manufacturing environment (Constant)

  • Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)


Clearance Level

No Clearance

The salary range for this role is:

$102,000 - $155,500

AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills.

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply. NO agencies please.

About AV:

AV isn't for everyone. We hire the curious, the relentless, the mission-obsessed. The best of the best.

We don't just build defense technology-we redefine what's possible. As the premier autonomous systems company in the U.S., AV delivers breakthrough capabilities across air, land, sea, space, and cyber. From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve.

Founded by legendary innovator Dr. Paul MacCready, AV has spent over 50 years pushing the boundaries of what unmanned systems can do. Our heritage includes seven platforms in the Smithsonian-but we're not building history, we're building what's next.

If you're ready to build technology that matters-with speed, scale, and purpose-there's no better place to do it than AV.

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data,sexual orientation, gender identity or other legally protected status.

ITAR

U.S. Citizenship required. Must be willing to work on government contracts and have the ability to obtain a security clearance.

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