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Machine Learning Intern Jobs in Rio Rico, AZ (NOW HIRING)

NSF's NOIRLab

Science Intern

Tucson, AZ · On-site

$14.25 - $19/hr

The science intern will carry out cutting-edge research on cold brown dwarfs. The intern will ... fax machines, copiers, and other office machines. * Must possess - 1) ability to read and ...

AURA

Science Intern

Tucson, AZ · On-site

$14.25 - $19/hr

The science intern will carry out cutting-edge research on cold brown dwarfs. The intern will ... fax machines, copiers, and other office machines. * Must possess - 1) ability to read and ...

NOAO

Science Intern

Tucson, AZ · On-site

$14.25 - $19/hr

The science intern will carry out cutting-edge research on cold brown dwarfs. The intern will ... fax machines, copiers, and other office machines. * Must possess - 1) ability to read and ...

Caterpillar

High School Student Trainee

Green Valley, AZ · On-site

$15 - $17.50/hr

... Intern, you'll work alongside experienced Caterpillar professionals while exploring careers in ... to evaluate machine performance * Supporting fabrication and welding projects * Learning ...

UBS

Intern

Tucson, AZ · On-site

$20/hr

Your role Are you a motivated self-starter? Can you take an assignment and run with it? If you're ready to dive into a fast-paced, client-focused work environment, an internship may be the right fit ...

UBS

Intern

Tucson, AZ · On-site

$14.25 - $19/hr

Your role Are you a motivated self-starter? Can you take an assignment and run with it? If you're ready to dive into a fast-paced, client-focused work environment, an internship may be the right fit ...

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Rio Rico, AZ

Machine Learning Intern information

See Rio Rico, AZ salary details

$22.6K

$37.8K

$78.2K

How much do machine learning intern jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning intern in Rio Rico, AZ is $37,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What cities near Rio Rico, AZ are hiring for Machine Learning Intern jobs? Cities near Rio Rico, AZ with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Rio Rico, AZ as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,820 per year, or $18.2 per hour.

Science Intern

NSF's NOIRLab

Tucson, AZ • On-site

$14.25 - $19/hr

Part-time

Re-posted 23 days ago

Job description

General Description of Position:
The science intern will carry out cutting-edge research on cold brown dwarfs. The intern will assist in the reduction, analysis, and interpretation of recently acquired data from the James Webb Space Telescope (JWST).
Essential Functions:
  • Work closely with NOIRLab Astronomer to reduce and analyze JWST infrared imaging and/or spectroscopy of cold brown dwarfs.
  • Utilize astronomical software and Python-based pipelines to process and extract scientific measurements from JWST datasets.
  • Assist with early analysis of the spectral and photometric properties of these extremely cool, substellar objects.
  • Help prepare figures, documentation and results for scientific presentations and publications.
  • All AURA employees are responsible for the proper management and control of all AURA property within their work area, whether assigned to them or someone else. This responsibility includes reporting any known missing, stolen, or non-working property in their work area to their supervisor or the AURA Property Officer.
  • Responsible for ensuring compliance with government award terms and conditions assigned to this position or subordinates of this position as defined in the Vela Award Management system, https://cas.aura-astronomy.org/Awards.

Other Functions:
  • Other duties as assigned

Required Education/Experience/Skills/Abilities:
  • Enrolled in a bachelor's program in a relevant field, or have a recent Bachelor's (or higher) degree in relevant field (astronomy, computer science)
  • Studying toward or recent recipient of a university degree in astronomy, physics, computer science, data science, or a related technical field.
  • Background knowledge of astronomy and physics: stars, planets, brown dwarfs, mechanics, and optics.
  • Basic coding/scripting (for example in Python and/or bash) to automate analysis/transfer of data sets and make scientific plots/visualizations.
  • Must possess good English communication skills (written and verbal).
  • Self-motivated, ability to work with minimal supervision.

Preferred Education/Experience/Skills/Abilities:
  • Prior astronomy research experience.
  • Python scripting for data analysis (e.g., Astropy, NumPy, Pandas).
  • Prior experience working with infrared astronomical data or space telescope data

(e.g., JWST, HST, Spitzer, WISE).
  • Familiarity with photometric and/or spectroscopic data reduction techniques.

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 regularly required to sit; use hands to finger, handle, or feel; and talk or hear.
  • The employee is occasionally required to stand; walk; reach with hands and arms and stoop; kneel; crouch; or crawl.
  • The employee must regularly lift and /or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.
  • Specific vision abilities required by this job include close vision, depth perception and ability to adjust focus.
  • Must possess - sufficient mobility, strength, or dexterity in both arms and hands and both legs to a) reach upward, sideways, downward to work with paper files; b) sufficient mobility and dexterity to utilize computer systems, fax machines, copiers, and other office machines.
  • Must possess - 1) ability to read and understand instructions, drawings, safety guides, and other written materials necessary to perform job; 2) sufficient visual capacity to perform the applicable functions without assistance of visual aids other than eye contacts or eye glasses; 3) sufficient spoken aural capacity to hear and understand instructions, warning bells, fire alarms, or shouted instructions without assistance of auditory aids other than a hearing aid; and 4) ability to impart information orally so that others understand and can respond appropriately

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.
  • Must be able to remain in a stationary position at least 50% of the time.
  • Occasional need to move about inside the office environment to access files, office tools, attendance in a meeting room, etc.
  • Constantly operates a computer and other office productivity tools that require fine motor skills, such as a calculator, copy machine, computer printer, etc.
  • May occasionally need to position self to maintain computer and related tools.
  • Seldomly needed to move objects up to 10 pounds.
  • Constant communication with other individuals. Must be able to discern and exchange information as appropriate to the situation.
  • Constant need to distinguish, discern, and identify a variety of objects and fine details with accuracy.
  • Occasional work at high elevation summit sites may be required (summit elevations range from 6,800 feet to 14,000 feet)

The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities and skills required by personnel so classified. This Institute promotes Equal Employment Opportunity workplace that includes reasonable accommodations to otherwise qualified, disabled applicants and employees.
Work Environment:
This position operates in a professional office environment and routinely utilizes standard office equipment, including computers, phones, and copiers. The work environment is generally quiet and may involve working in close proximity to others, depending on the needs of the specific function.
Salary Range:
$17.20 per hour.
How to Apply
Apply by May 24, 2026 for priority consideration. This position will remain open until it is filled. Please submit a cover letter and a CV or resume, PDF files preferred. Please name any attachments with the following format: Lastname Docname.
Individuals needing assistance with the employment process can request assistance here
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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