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Startup Machine Learning Intern Jobs in Colorado

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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Startup Machine Learning Intern information

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What are the key skills and qualifications needed to thrive as a startup machine learning intern, and why are they important?

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

What are popular job titles related to Startup Machine Learning Intern jobs in Colorado?

For Startup Machine Learning Intern jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Startup Machine Learning Intern jobs in Colorado look for?

The top searched job categories for Startup Machine Learning Intern jobs in Colorado are:

What cities in Colorado are hiring for Startup Machine Learning Intern jobs?

Cities in Colorado with the most Startup Machine Learning Intern job openings:

Startup Machine Learning Intern jobs near you
Infographic showing various Startup Machine Learning Intern job openings in Colorado as of June 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

2027 Feed Yard Intern

Johnstown, CO • On-site

Five Rivers Cattle Feeding, LLC
Food and Drink Manufacturing • 501 - 1,000 employees
Learn more about Five Rivers Cattle Feeding, LLCexternal

Internship

Posted 25 days ago

Key responsibilities

  • Perform daily operations of feed yard, including feed mill, feeding, cattle, and yard activities.

  • Participate in internship rotations across Mill, Feeding, Cattle, and Yard Operations, fulfilling the needs of the feed yard.

  • Maintain compliance with OSHA, FDA, and EPA regulations and participate in safety practices and department meetings.

Job description

JOB TITLE: Feed Yard Intern

REPORTS TO: Department Manager (as assigned)

FLSA STATUS: Hourly, Ag-exempt

FUNCTION: Learns and performs the daily operation of feed mill, feeding department, cattle department, and yard operations for completion of the internship. Performs the following duties:

ESSENTIAL DUTIES AND RESPONSIBILITIES:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Other duties may be assigned.

  • Internship rotation through Mill and Feeding, Cattle and Yard Operations. Duties will vary based on internship parameters and fulfilling the needs of the feed yard.

  • Complies with applicable OSHA, FDA, and EPA regulations; maintains appropriate compliance records.

  • Sets a positive example by modeling safe work practices and following safety rules and policies.

  • May participate in department meetings and special projects as they apply to the internship for the benefit of Five Rivers.

QUALIFICATIONS:

  • In progress: Undergraduate degree in a related field.

  • Knowledge of Word Processing software; Spreadsheet software and Database software.

  • Valid driver’s license.

  • Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals.

  • Ability to work with mathematical concepts such as probability and statistical inference. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.

  • Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.

  • Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.

COMPETENCY:

Expected to coordinate projects, manage difficult or emotional employee situations, participate in meetings, understand business implications of decisions, work within the approved budget, develop and implement cost-saving measures, conserve organizational resources, demonstrate knowledge of EEO policy, adapt to changes in the work environment, exhibit sound, and accurate judgment, observe safety and security procedures, and report potentially unsafe conditions.

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 is regularly exposed to airborne particles. The employee is frequently exposed to work near moving mechanical parts and outdoor weather conditions. The noise level in the work environment is usually loud. The employee is frequently required to climb or balance and is exposed to work in high, precarious places.

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.

The employee is required to adhere to the department demands as assigned, i.e. Mill: wear hardhat; eye, ear, and respiratory protection daily. Frequently to Occasionally the employee is required to push/pull, reach, bend, run, sit, stand, jump, climb, squat, kneel, lift, carry, twist, grasp/squeeze. Working with or near cattle, horses, vehicles, and equipment in all weather conditions.

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