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Startup Machine Learning Intern Jobs in Minnesota

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 the most commonly searched types of Startup Machine Learning jobs in Minnesota?

The most popular types of Startup Machine Learning jobs in Minnesota are:

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

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

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

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

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

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

Startup Machine Learning Intern jobs near you

Diesel Program Intern

General Equipment & Supplies

Duluth, MN • On-site

Part-time

Re-posted 27 days ago

Job description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Builds knowledge of dealer supported product lines, service standards and procedures
  • Assists in field repairs and maintenance jobs with supervision
  • Basic testing knowledge of all machine systems
  • Assists with repair and recondition of all equipment components and systems
  • Develops and employs diagnostic related reasoning skills
  • Responsible for operating heavy construction equipment in a safe manner
  • Assists in the collection of data necessary for efficient inventory control
  • Maintains a clean and safe working environment
  • Maintains and cares for shop tools, equipment and vehicles
  • Assists in completing all paperwork required for jobs
  • Maintains close, positive working relationships with service, parts and administrative personnel
  • May perform other duties as directed by the Service Management

REQUIRED SKILLS:

  • Must be enrolled in Diesel Technology Program.
  • Willing to obtain a Class A CDL License

ADDITIONAL JOB REQUIREMENTS:

  • Must share our Core Values: Do the Right Thing, Have Passion, Be Innovative and Be Curious
  • Works in an efficient and effective manner
  • Contributes to departmental and product line goals
  • Must have excellent customer service skills, with both internal and external customers
  • Organizational skills with ability to effectively manage multiple projects
  • Must be personable, highly motivated, a problem solver, reliable, ethical and able to adapt to all forces around them – customers, suppliers, coworkers and manufacturers
  • Must have the drive and ability to learn equipment, mechanical and diagnostic skills
  • Must have a positive mental attitude
  • Requires a valid driver’s license and the ability to maintain an insurable driving record

 

NATURE AND SCOPE OF JOB:

  • Occasionally lifting, carrying, pushing or pulling 100+ pounds and/or frequently lifting, carrying, pushing or pulling 50+ pounds and/or continuous lifting, carrying, pushing or pulling 20+ pounds.
  • Occasional to frequent walking or standing
  • Frequent and continual movement as follows, often several of movements simultaneously (i.e. handle while crouching, carry while kneeling):
    • Kneel (bend legs at knee, come to rest on knees)
    • Crouch/Squat (bend body down and forward, bending legs and spine)
    • Crawl (move on hands, knees, and feet)
    • Climb (ascend/descend ladders, stairs, ramp or step up on or down from equipment/trailer)
    • Stoop (Bend downward and forward at waist)
    • Lift (raise or lower object > 25 pounds from one level to another)
    • Carry (transport an object)
    • Push (press with steady force, thrust objects forward, downward, outward)
    • Pull (drag or tug objects)
    • Turn/twist (move a body part in circular motion)
    • Bend (bend downward and forward by bending the spine at waist)
    • Reach (extend hands and arms in any direction)
    • Handle (seize, hold turn with hands)
    • Repetitive motion of wrists, hands, and fingers
  • Hearing and speaking to exchange information
  • Dexterity of hands and fingers to operate equipment
  • Consistently exposed to weather conditions, fumes, and loud noise

The duties described above are the general nature and levels of work performed, but are not intended to be a complete comprehensive list of all the duties, activities, and responsibilities required of job incumbents. Duties, responsibilities and activities may change at any time with or without notice.

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