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Machine Learning Ai Intern Jobs in Minnesota (NOW HIRING)

AI Intern

Minneapolis, MN · On-site

$18/hr

AI Intern Join a team that's passionate about building inspiring spaces and pushing the industry ... Document learning and contribute to internal knowledge sharing * Effectively work and build ...

AI Intern

Minneapolis, MN · On-site

$18/hr

AI Intern Join a team that's passionate about building inspiring spaces and pushing the industry ... Document learning and contribute to internal knowledge sharing * Effectively work and build ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in developing innovative computer vision solutions for defense and commercial applications. You will ...

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Machine Learning Ai Intern information

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

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

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

Machine Learning / Artificial Intelligence (AI) Intern

Hamel, MN

Loram
Transportation Equipment Manufacturing • 1 - 5K employees

Internship

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Loram rating

6.2

Company rating: 6.2 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Job Description

Job Title: Machine Learning / Artificial Intelligence Intern

FLSA Status: Non Exempt

Department: R&D Engineering

Reports to: Lead Engineer, Data Science AI/ML

GENERAL DESCRIPTION / PURPOSE:

The Machine Learning / Artificial Intelligence Intern will assist in planning, researching, developing, and implementing new technologies for image processing and data analysis in the railroad industry. Duties will include all facets of product life cycle for prototype and production systems. Candidate will be required to work with internal and external stakeholders. 

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Functional & Technical Skills

  • Develop and implement ML and CV algorithms for a variety of problems including classification, identification, and robotics
  • Assist with planning and execution of software testing activities, as well as complex and challenging technical projects
  • Participate in requirements gathering and evaluation methods for AI technologies and benchmark vendor technologies
  • Aid in the design, build, and implementation of AI solutions for our proof of concepts and experiments
  • Knowledge and hands-on expertise in deep neural network topologies such as convolutional nets, recurrent nets, RBMs, causal reasoning, probabilistic programming
  • Evaluate positive and negative aspects of competing technologies from the perspective of both the solution provider and the customer
  • Capabilities to manage large amounts of data including developing effective coding / scripting routines for automation of data management
  • Passion for driving innovation in railroad environment that prioritizes safety, up-time, and daily production
  • Collaborate with team members to automate railway maintenance equipment
  • Deploying AI software to existing inspection systems operating in real-time environments
  • Integrate cutting edge models into training and annotation pipeline
Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactory. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Education and/or Experience: The individual must be pursuing a BS or higher degree in Engineering, or related field and shall have achieved junior status or higher. The individual shall also have completed the “core” coursework for his/her chosen discipline.

Computer Skills: Solid computer skills consistent with the position requirements to include Microsoft Windows Office Suite, Python, PyTorch, OpenCV, Pandas; Linux, Docker, SQL, C# experience is a plus; 

Reasoning Ability: Ability to correctly make decisions involving issues/problems including when to escalate the problem to a more senior consultant.

Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is frequently required to sit or kneel; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. 

Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee may frequently work near moving mechanical parts, in outside weather conditions and is frequently exposed to vibration. The employee is occasionally exposed to fumes or airborne particles and risk of electrical shock.

The noise level in the work environment is usually moderate.


Additional Information

Equal Opportunity Employer:

Loram is an Equal Opportunity Employer committed to fostering an inclusive, diverse, and respectful workplace. We make all employment decisions based on qualifications, merit, and business need, without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, national origin, veteran status, or any other characteristic protected by applicable laws in the countries where we operate, including the Equality Act 2010 in the UK, relevant U.S. federal, state, and local laws, Brazil’s anti-discrimination provisions under the Consolidation of Labor Laws (CLT) and Federal Constitution, India’s Equal Remuneration Act and Rights of Persons with Disabilities Act, Australia’s Fair Work Act 2009 and applicable state and territory legislation, and Canada’s human rights protections under the Canadian Human Rights Act and applicable provincial or territorial laws.

Benefits:

Benefits for this role include a comprehensive package with company-sponsored medical, dental, and vision insurance; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; wellness programs; basic life and AD&D insurance; voluntary life insurance; company paid short-term and long-term disability coverage; 401(k) retirement plan including an employer match of 150% up to the first 6% you contribute to the Plan; Employee Assistance Program (EAP); behavioral health support; and leaves of absence. Additional benefits include tuition reimbursement, payroll charity contributions, adoption assistance and optional plans such as legal, critical illness, and hospitalization.

Compensation:

Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation.


What Loram employees say

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About Loram

Sourced by ZipRecruiter

Industry

Transportation equipment manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Hamel, MN, US