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Machine Learning Internship Microsoft Jobs in Spokane, WA

Project Engineer I - Structural

Spokane, WA

$31.02 - $47.26/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Internship or one (1) year experience in a related field preferred. * Bachelor's degree from ABET ... Knowledge of Microsoft Office Suite required. * Knowledge of Revit preferred. Knowledge of other CA ...

Project Engineer I - Structural

Spokane, WA · On-site

$31.02 - $47.26/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Internship or one (1) year experience in related field. * Bachelor's degree in engineering ... Knowledge of Microsoft Office Suite required. * Knowledge of Revit preferred. Knowledge of other CA ...

Parts Specialist

Spokane, WA · On-site

$18.25 - $24.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficient in Microsoft office Suite and similar software * Ability to read and interpret documents ... Must be capable of learning all phases of the Parts Department operation with the desire to ...

Showing results 21-25

Machine Learning Internship Microsoft information

See Spokane, WA salary details

$25.8K

$43.1K

$89K

How much do machine learning internship microsoft jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning internship microsoft 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 is a machine learning internship at Microsoft?

A Machine Learning Internship at Microsoft is a temporary position for students or recent graduates to gain hands-on experience working on real-world machine learning projects. Interns collaborate with experienced engineers and researchers to develop, test, and deploy machine learning models and solutions that impact Microsoft products and services. The internship typically involves working with large datasets, implementing algorithms, and contributing to team goals while learning about cutting-edge AI technologies. Interns also benefit from mentorship, networking opportunities, and exposure to the latest industry practices.

What types of projects do interns typically work on during a machine learning internship at Microsoft?

As a Machine Learning intern at Microsoft, you can expect to work on impactful, real-world projects that contribute to ongoing products or research initiatives. Interns often collaborate with data scientists, software engineers, and product teams to develop, test, and refine machine learning models for applications such as natural language processing, computer vision, or recommendation systems. You'll likely participate in code reviews, present your findings, and receive mentorship from experienced professionals, all within a collaborative and innovative environment. These projects not only enhance technical skills but also provide valuable exposure to large-scale, industry-leading systems.

What is the difference between Machine Learning Internship Microsoft vs Data Science Internship Microsoft?

AspectMachine Learning Internship MicrosoftData Science Internship Microsoft
Required SkillsProgramming, ML algorithms, Python, TensorFlowStatistics, data analysis, Python, SQL
Work EnvironmentResearch and development teams focused on ML modelsData analysis and visualization teams
Industry UsageAI and ML product developmentBusiness insights and data-driven decision making

Both internships are highly competitive roles at Microsoft, often requiring programming skills and relevant coursework. Machine Learning Internships focus on developing and deploying ML models, while Data Science Internships emphasize analyzing data to generate insights. Candidates should review the specific role descriptions to align their skills accordingly.

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

To thrive as a Machine Learning Intern at Microsoft, you need a solid foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by coursework or related projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like Azure are often expected. Strong problem-solving skills, curiosity, and effective communication help you collaborate with team members and present findings. These skills are crucial for contributing to innovative projects and translating complex data-driven insights into impactful solutions within a dynamic tech environment.

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

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

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

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

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

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

Project Engineer I - Structural

McKinstry

Spokane, WA

$31.02 - $47.26/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


McKinstry rating

9.7

Company rating: 9.7 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

Build the future, spark innovation and align your career with purpose.

McKinstry is innovating the waste and climate harm out of the built environment and creating lasting impact. Together, we're building a thriving planet.

Buildings are a leading contributor to the climate crisis, generating nearly 40% of total global energy-related carbon emissions. We're making a lasting impact on our industry and within our communities by addressing the climate, affordability and equity crises through:

  • renewables and energy services
  • engineering and design
  • construction and facility services

To get where we're going, we need big thinkers, problem solvers and collaborative mindsets. Does that sound like you?

The Opportunity with McKinstry

We are currently seeking a Project Engineer to join our Engineering and Design team in Seattle, WA. This role is responsible for providing design task support to a level of quality that leads to a minimum number of required clarifications during construction. Additional responsibilities may include:

Project Management

  • Documents project correspondence, issues, decisions and directions.
  • Learns and follows McKinstry Engineering standards and procedures.
  • Contributes to tasks on multiple projects and timelines concurrently.
  • Manages own workload to deliver assigned tasks on time and in budget.
  • Identifies training, coaching, and support needed to complete assigned tasks

Design

  • Develops familiarity in structural systems design, including seismic anchorage calculations associated with equipment anchorage and multi-discipline coordination.
  • Performs engineering calculations, design, and drafting tasks.
  • Produces design drawings and building information models for construction.
  • Pursues an understanding of the technical foundation of design activities and decisions.

Other duties as assigned.

What You Need to Succeed at McKinstry:

  • Internship or one (1) year experience in a related field preferred.

  • Bachelor's degree from ABET University required. Onsite construction experience considered and welcome.

  • Knowledge of Microsoft Office Suite required.
  • Knowledge of Revit preferred. Knowledge of other CAD/BIM tools welcome.
  • Familiarity with MATLAB, VBA, Python and structural analysis software, such as Bentley platform, RISA, SAP 2000 software tool welcome.
  • Engineering in Training Certificate preferred. EIT required.

PeopleFirst Benefits

When it comes to the basics, we have you covered:

  • Competitive pay
  • 401(k) with employer match and profit-sharing plan
  • Paid time off and holidays
  • Comprehensive medical, prescription, dental, and vision with low or zero deductible options and low out of pocket maximums

People come first at McKinstry, and we go beyond the basic benefits with:

  • Family formation benefits, including adoption and IVF assistance
  • Up to 16 weeks paid parental leave
  • Transgender inclusive benefits
  • Commuter benefits
  • Pet insurance
  • "Building Good" paid community service time
  • Learning and advancement opportunities via McKinstry University
  • McKinstry Moves onsite gyms or reimbursement for remote workers

See benefit plan documents for complete details.

If you're driven by our vision to build a thriving planet together, McKinstry is the place to build your career.

The pay range for this position is $31.02 - $47.26 per hour; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is considered non-exempt and will be paid hourly. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Base pay information is based on market location.

The McKinstry group of companies are equal opportunity employers. We are committed to providing equal employment opportunities to all employees and qualified applicants without regard to sex, gender identity, sexual orientation, age, race, color, creed, marital status, national origin, disability, veteran status, genetic information or any other basis protected by law. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training. This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity. 

McKinstry is a drug-free workplace. Employment iscontingent upon successfully passing a pre-employment drug and alcohol test, complying with the requirements of the Immigration Reform and Control Act and a Confidentiality Agreement, in addition to successful outcomes of background and reference checks.

Applicants for this role will only be considered if they possess current US Work Authorization, and do not require employer-sponsored VISA support to begin or remain in this role.

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