ZipRecruiter

Log In

1

Machine Learning Engineer Intern Jobs in Spokane, WA

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

... Engineering is required. A PhD is preferred. * Excellent experience in statistical analysis and ... Experience with the advanced computing technologies and algorithms, such as machine learning, to ...

JLL

Mechatronics and Robotics Apprentice

Spokane, WA

... learning program. Trains in andadheresto all health and safety policies and procedures. Work ... Learns PLCs and works with Automation Engineers in a laboratory environment.Learnsto perform work ...

New

Sytech

Press Brake Operator I

Spokane, WA · On-site

$19.50 - $22/hr

Request engineering support in the event of missing/discrepant documentation * Monitors machine ... Open to learning other processes; i.e., Hardware, Riveting, Weld Physical Demands: * Ability to ...

NIC Global

Welder-Swing Shift

Spokane, WA · On-site

$22 - $30.45/hr

... Schweitzer Engineering Laboratories, Physio Controls, and Leviton to name a few. Our growing ... Carries out welding jobs by learning, reading and following job order specifications, blueprints ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Spokane, WA

Machine Learning Engineer Intern information

See Spokane, WA salary details

$25.8K

$43.1K

$89K

How much do machine learning engineer intern jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning engineer 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 types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are popular job titles related to Machine Learning Engineer Intern jobs in Spokane, WA? For Machine Learning Engineer Intern jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Spokane, WA look for? The top searched job categories for Machine Learning Engineer Intern jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Machine Learning Engineer Intern jobs? Cities near Spokane, WA with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Metallurgical Engineer

Metallurgical Engineer

Kaiser Aluminum

Spokane, WA • On-site

$85K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Kaiser Aluminum rating

7.4

Company rating: 7.4 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

272nd of 518 rated manufacturers

Job description

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for a Metallurgical Data Scientist to join the Kaiser Aluminum onsite team in Spokane Washington with a background in aluminum manufacturing, physical/mechanical metallurgy and Finite Element Analysis!
Must be a USA person (identified as US Citizen, US Permanent Resident (Green Card), any individual who is granted status as a "protected person" under 8 U.S.C. 1324b(a)(3).
Benefits
  • Salary range $85,000 to $150,000 commensurate with experience.
  • High deductible medical, dental, vision, and basic life insurance, including spouse and children (modest payroll deductions).
  • 10 paid holidays per year.
  • Vacation (3 weeks starting out).
  • Supplemental leave (used in conjunction with Washington Paid Family & Medical Leave).
  • 401K with matching company funds.
  • Quarterly bonus structure.
  • Tuition reimbursement.

The Metallurgical/Data Scientist is responsible for analysis, design, testing and implementation of existing and new applications and integrations. The ideal candidate will be a strong technical resource with the ability to understand, learn and master many different diverse technologies used across the enterprise, work with minimal supervision, and has ability to work closely with the business and technical resources.
What you will work on:
  • Conduct the low cost and high quality product and process improvement and optimization through the combination of advanced data analytics and ICME (Integrated Computational Material Science).
  • Monitor, evaluate, and apply the advanced computing technologies and algorithms for the most sophistic data analytics to uncover insights and hidden variables, identify root causes and patterns, forecast outcomes, and provide data-drive solutions.
  • Production process data collection, high dimension large dataset multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based predictive modeling development and applications.
  • Develop general and challenge specific predictive modeling capabilities by using commercially available software and/or internal computational codes.
  • Design and development of alloys and processes for Aluminum products through advanced data analytics and ICME.
  • Provide guidance and mentorship supports for different levels of data analytics including the principle and limits of different analytical algorithms.
  • Provide support for Industry 4.0 initiatives.
  • Develop, define, and complete on-time assigned research & development chartered projects.
  • Support plant projects as directed.
  • Write technical reports summarizing work as well as presentations to peers on progress at continuous improvement meetings.
  • Perform metallurgical and structural analysis of aluminum products.
  • Work in cross-functional teams to develop process and production improvements.
  • 5S of assigned areas.

What you will bring to the role:
  • MS degree in Data Science, or Computational Material Science, or Statistics, or Material Science or Mechanical Engineering is required. A PhD is preferred.
  • Excellent experience in statistical analysis and computing for data-driven problem solving in manufacturing environment.
  • Strong skills and experience in predictive modeling development by using multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based predictive modeling technologies.
  • Experience with the advanced computing technologies and algorithms, such as machine learning, to build high quality predictive modes, uncover insights and hidden variables, and provide solutions.
  • Experience in large dataset collection, integration, and visualization by using Excel, SQL, Mintab, Python, etc.
  • Background in aluminum manufacturing, physical, and mechanical metallurgy.
  • Experience in thermodynamic and kinetic material modeling by using CALPHA principle, and process simulations by using FEA and CFD tools.
  • An ability to apply continuous improvement tools and methodologies to processes and projects
  • Excellent communication skills (written and verbal) and organizational skills.
  • Proven ability to work in teams.
  • Ability to manage multiple tasks simultaneously.

PREFERRED SKILLS
  • Experience in metal rolling process simulation through FEA, Crystal Plasticity (CP) model, and other microstructure-based material models.
  • Experience in material characterization such as microstructure and mechanical properties.

WORK ENVIRONMENT
  • Approximately 70% of the job function is performed in an office setting requiring normal safety precautions. 30% of the job function is required in the plant. There is exposure to operating machinery and a manufacturing environment.

We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.
About Kaiser Aluminum: Talented people join our team because we are a company passionate about environmental sustainability, employee growth, contributing back to our communities and championing an inclusive culture.
No third-party candidate submissions are being accepted at this time for this opening

What Kaiser Aluminum employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply