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

Sonsoft Inc

C# / Machine Learning

Redmond, WA · On-site

Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence. * Azure Data Lake. * Cosmos. * Analytical skills. * Experience and desire to work in a Global ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Auburn, WA

Machine Learning Intern information

See Auburn, WA salary details

$27.9K

$46.5K

$96.1K

How much do machine learning intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning intern in Auburn, WA is $46,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,300.00 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.

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Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Auburn, WA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,501 per year, or $22.4 per hour.

Graduate Intern - Machine Learning

Seattle, WA • On-site

Port of Seattle
Public Administration • 1 - 5K employees
Learn more about Port of Seattleexternal

Other

Posted 5 days ago

Port Of Seattle rating

9.2

Company rating: 9.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

58th of 858 rated public administrative organizations

Job description

Some of what you'll be doing:

There are two positions available for this role. This is a part-time school-year internship opportunity expected to last up to five months. As a Machine Learning Intern within the Port of Seattle ICT Department, you'll gain hands-on experience at one of the largest ports on the West Coast, supporting ML and AI-related prototypes and pilot projects for various operating divisions, including Aviation (SEA Airport), and Maritime (Fishermen's Terminal, Marinas, Cruise Ship Terminals) divisions. You'll work closely with an assigned mentor and collaborate with experienced engineers, assisting with the development of ML and AI prototypes that involve problem definition, model and dataset development, model training and evaluation, concluding with deployment and end-user feedback. The work and initiatives you will be a part of may include, but are not limited to, the following:

  • Communicate effectively in verbal or written form with users

  • Gather and understand user requirements and use cases

  • Understand the available data sources

  • Devise and develop the means for collecting and cleansing operational data

  • Architect ML/AI prototypes that fit the requirements and review them with users

  • Develop and test prototype ML or Deep Learning models

  • Evaluate models using quantitative methods

  • In collaboration with the users, evaluate the effectiveness of ML/AI prototypes and make recommendations for follow-on work

Who you are:

  • A student - You must be currently enrolled in a Master's degree or a recent graduate (< 1 year ago) in a Master's degree program in Computer Science, CS & Engineering (CS/CSE), Statistics/Data Science, Electrical and Computer Engineering (ECE), Physics, Mathematics, or Operations Research (OR) / Industrial Engineering.

  • Committed to Equity - You will apply equity and exemplify shared values, behaviors, and practices in all aspects of the work. At the Port of Seattle, equity is a daily responsibility and a foundational expectation for all Port employees.

  • Technology - You have experience in using some or all of the following: Python, Keras, PyTorch, TensorFlow, R, SQL, NoSQL, C/C , Go, CUDA

  • Knowledgeable - You understand Machine Learning and Deep Learning techniques and their application to Generative AI, Computer Vision, Natural Language Processing, Speech Recognition, Translation, and other related domains.

  • Communication - You can effectively communicate with users to gather and understand their requirements and translate them into actionable steps.

  • Analysis - You are able to identify data sources, analyze the available data, devise and deploy the means for collecting and cleansing the data, create training datasets, and create and test the models that provide predictive analysis to live operational data

What else you need to know:

  • Work Schedule - Your normal work schedule will be scheduled between Monday - Friday, 8:00 a.m. to 5:00 p.m. (20 hours per week). Slightly more flexible start and end times are available in this role.

  • Work Environment - This work will take place in a hybrid remote/in-office setting at Management's discretion.

  • Limited Duration - This is a limited duration position and is expected to last no longer than five months.

  • Safety Requirements - You will be required to comply with all work rules, safety, and Personal Protective Equipment (PPE) requirements.

  • Security Requirements - As the successful candidate, you will/must pass a Transportation Security Administration (TSA) background check as well as a criminal history background check with the Federal Bureau of Investigation (FBI). Your employment will be contingent upon obtaining a Port of Seattle ID badge upon clearance.

  • Washington State Residency Requirement - Employees must establish a residence in Washington State within 30 days of their first day of employment and must maintain a residence in Washington State during their employment with the Port of Seattle. If a position is eligible to telework, work performed while teleworking must be performed in Washington State.

  • E-Verify - The Port of Seattle is not an E-Verify employer

Why you'll love it here:

The Port of Seattle offers an extensive benefits package that rewards our staff for their valuable contributions towards the Port's mission. In addition to the summary below, benefit details for non-represented positions can be found on the Port of Seattle's website. If the position is represented by a union, please refer to the " Collective Bargaining Agreement " or contact the appropriate Union Representative for specific information related to benefits and eligibility.

  • Getting to Work - From subsidized parking and a low-cost public transit card to alternative work arrangements giving you an opportunity to work hybrid.

  • Equity, Diversity, and Inclusion - The Port of Seattle values diversity as a source of innovation and strength. We are actively working across the organization to create a culture where all employees - regardless of race, gender, and other identities - succeed and reach their fullest potential.

  • Work-Life Balance - We provide the resources to help you create habits to be healthy and balanced.

  • Mission Driven - We are focused together in promoting economic opportunities and quality of life in the region by advancing trade, travel, commerce, and job creation in an equitable, accountable, and environmentally responsible manner.

Why the Port of Seattle:

Every role at the Port of Seattle is vital to our thriving community. We are a leader in moving people and cargo across the country and around the world. With facilities and property ranging in scope from a half-acre park to one of the largest airports and container terminals on the West Coast, we maximize the public assets in our portfolio with an eye toward best uses and environmental sustainability. Find out more here .

Our vision is to create a Port that mirrors - throughout its breadth of operations and services and within its leadership - the diversity of our communities, instill principles of equity into its culture, and ensures a fair and intentional distribution of opportunities to expand economic development and quality of life for all in our region. Find out more about how our values RAISE us up and our commitment to equity .

Location: Downtown Seattle

Organization: ICT Enterprise Infrastrutr Svc

Employee Status: Temporary

Schedule: Part-time

Posting Expires: Sep 6, 2026, 11:59:00 PM

Minimum Salary: 30.30

Midpoint Salary: 32.30

Req ID: 004322

The Port of Seattle is an equal opportunity employer that values diverse perspectives and life experiences. We encourage people of all backgrounds to apply, knowing decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law, regulations and ordinances. To help comply with all state and federal requirements, we appreciate you voluntarily answering the questions below. The information on this form will be kept confidential. Click https://www.portseattle.org/page/ethnicity-definitions for definitions and descriptions of the categories referenced below regarding Ethnicity and Race. Click https://www.portseattle.org/page/vevraa-information for information and definitions of the categories referenced below regarding Protected Veterans status.

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