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Machine Learning Intern Jobs in Spokane, WA (NOW HIRING)

The Role This is a summer internship opportunity in Norwood, MA from June 7, 2027 - August 20, 2026 . Applicants must be available for the entire duration of the internship. Start date will be June ...

The Role This is a summer internship opportunity in Norwood, MA from June 7, 2027 - August 20, 2026 . Applicants must be available for the entire duration of the internship. Start date will be June ...

Showing results 41-52

Machine Learning Intern information

See Spokane, WA salary details

$25.8K

$43.1K

$89K

How much do machine learning intern jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning intern in Spokane, WA is $43,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

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 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.

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 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 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 are the most commonly searched types of Machine Learning jobs in Spokane, WA?

The most popular types of Machine Learning jobs in Spokane, WA are:

What are popular job titles related to Machine Learning Intern jobs in Spokane, WA?

For Machine Learning Intern jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern jobs in Spokane, WA look for?

The top searched job categories for Machine Learning Intern jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Machine Learning Intern jobs?

Cities near Spokane, WA with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Spokane, WA 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, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,057 per year, or $20.7 per hour.

Civil Engineering (Geotechnical) Intern

Spokane Valley, WA • On-site

Quanta Services
Construction • 10K+ employees

$24/hr

Internship

Posted 2 days ago

New


Quanta Services rating

7.4

Company rating: 7.4 out of 10

Based on 53 frontline employees who took The Breakroom Quiz


Job description

QISG leverages Quanta’s comprehensive resources to deliver collaborative solutions for our partners' energy infrastructure needs. We use in-house talent, expertise and resources to plan, design, engineer, manage, conduct maintenance on and construct projects.


Our turnkey service capabilities provide our customers with efficiency, consistency, attention to detail and safe execution. The QISG team brings together Engineering, Safety, Quality, Material Procurement, QA/QC, Right-of-Way Acquisition, Scheduling, Environmental Planning, Permitting, Title and Land Management expertise that ensure outstanding results for our clients.


As a Geotechnical Engineering Intern, you will work under the guidance of experienced engineers to support design and construction activities for large energy infrastructure projects including substations, transmission lines, data centers, and others. You will assist with tasks such as geotechnical site characterization, geologic risk analysis, engineering analysis for design of foundations (shallow and deep), and engineering support during construction.  This role is primarily office-based, with opportunities for occasional site visits.


  • Assist in developing and executing geotechnical characterization programs. 
  • Assist in preparing geotechnical characterization reports.
  • Assist in preparing foundation design drawings and specifications.
  • Assist in geotechnical data processing and data analysis
  • Assist in analysis and develop of design recommendations associate with shallow and deep foundations.
  • Participate in developing cost estimates and project documentation.
  • Collaborate with engineers and construction managers to ensure project goals are met.
  • Perform basic research and prepare reports or presentations as needed.
  • Attend team meetings and learn about design-build (DB) and engineer-procure-construct (EPC) delivery methods.

  • Currently pursuing a bachelor’s degree in civil engineering or a related field with a focus on structural design.
  • Completed coursework in civil engineering fundamentals (e.g., geotechnical, structures, concrete, steel).
  • Familiarity with structural modeling software such as LPILE, GROUP, SHAFT, etc.
  • Proficient in Microsoft Office (Word, Excel, PowerPoint).
  • Strong written and verbal communication skills.
  • Ability to work collaboratively and take direction from senior engineers.

As an intern, you’ll gain hands-on experience, mentorship from industry professionals, and the opportunity to contribute meaningfully to real projects. You’ll also build valuable skills and connections to support your future career.


The anticipated compensation for this position is USD $24.00/Hr. - depending on experience and qualifications.

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.
We are an Equal Opportunity Employer, including disability and protected veteran status.
We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company’s Human Resources department.


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