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Fall Machine Learning Co Op Jobs in Seattle, WA (NOW HIRING)

Fortive

Field Service Engineer Co Op

Everett, WA

$25/hr

Flexible schedule to accommodate frequent domestic travel during the 6-month co-op * Strong ... learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive ...

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$139K - $258K/yr

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have ... Experience with building efficient ML models through HW/SW co-design. Experience crafting and ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Seattle, WA

Fall Machine Learning Co Op information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

How much do fall machine learning co op jobs pay per year?

As of Jun 30, 2026, the average yearly pay for fall machine learning co op in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Fall Machine Learning Co Op or similar data science roles, starting a career at age 40 is not too late. Many professionals transition into data science later in life, and skills such as programming, statistics, and machine learning can be developed through online courses and certifications regardless of age. Experience and continuous learning are valued in the field, making age less of a barrier.

What is a Fall Machine Learning Co Op job?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

Which 5 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that require complex problem-solving, creativity, and human interaction—such as data scientists, AI specialists, software engineers, product managers, and user experience designers—are likely to persist despite AI automation. These jobs involve skills like critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, a strong educational background, and may include leadership responsibilities or specialized expertise in cutting-edge AI technologies.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

Which 3 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that involve complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include jobs like data scientists, AI ethics specialists, and machine learning engineers, which require advanced technical skills, critical thinking, and domain expertise. Such roles are expected to remain in demand due to their reliance on nuanced judgment and continuous innovation.
What are popular job titles related to Fall Machine Learning Co Op jobs in Seattle, WA? For Fall Machine Learning Co Op jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Seattle, WA look for? The top searched job categories for Fall Machine Learning Co Op jobs in Seattle, WA are:
Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Seattle, WA as of June 2026, with employment types broken down into 5% Internship, 85% Full Time, 5% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $48,461 per year, or $23.3 per hour.
Seattle, BNSF Salmon Bay Bridge Fall/Winter Civil Field Engineer Co-op 26'-27'

Seattle, BNSF Salmon Bay Bridge Fall/Winter Civil Field Engineer Co-op 26'-27'

American Bridge Company

Seattle, WA • On-site

Other

Posted 8 days ago

Be an early applicant

Key responsibilities

  • Assist with construction observation and inspection activities at the project site.

  • Support quality assurance and quality control reviews of construction work.

  • Assist in reviewing structural drawings, specifications, and shop drawing submittals.

Job description

CO-OP STUDENT OPPORTUNITY
Civil Engineering
BNSF Salmon Bay Bridge — Counterweight Replacement Project Position TitleCo-op Student — Civil EngineeringProjectBNSF Salmon Bay Bridge Counterweight ReplacementLocationSeattle, WA (Salmon Bay / Ballard area)Duration4–8 months (flexible start date)CompensationCompetitive hourly rate (commensurate with experience)Openings1–2 positions 
Project Overview
The BNSF Salmon Bay Bridge is a critical rail bascule drawbridge located in Seattle, Washington, carrying BNSF Railway freight traffic across Salmon Bay between the Ballard and Interbay neighborhoods. The bridge, originally constructed in the early 20th century, is undergoing a major rehabilitation to replace its aging counterweight system — a structurally complex and operationally critical component that allows the bridge leaf to open and close for maritime traffic.
This rehabilitation project involves detailed structural analysis, design coordination, construction inspection, and close collaboration with BNSF Railway, structural engineers of record, fabricators, and regulatory agencies. The co-op student will gain hands-on experience in heavy civil infrastructure within a challenging urban marine environment.
 
Key Responsibilities
Construction Support & Field Work
  • Assist with construction observation and inspection activities at the project site
  • Document field conditions, construction progress, and contractor activities
  • Support quality assurance and quality control (QA/QC) reviews of construction work
  • Assist in reviewing and logging submittals, RFIs (Requests for Information), and change orders

Engineering & Design Support
  • Assist in reviewing structural drawings, specifications, and shop drawing submittals
  • Support load calculations, structural checks, and counterweight balance analyses
  • Help coordinate with fabricators and contractors on technical issues
  • Assist in preparing engineering reports, memoranda, and technical documentation

Project Administration
  • Maintain organized project files, construction logs, and correspondence records
  • Support schedule tracking and coordination of project milestones
  • Assist in preparing meeting minutes and action item tracking
  • Participate in project meetings with the client, contractors, and regulatory stakeholders
 
Qualifications
Required
  • Currently enrolled in an accredited Civil Engineering, Structural Engineering, or related undergraduate/graduate program
  • Completion of coursework in structural analysis, mechanics of materials, or structural design
  • Strong written and verbal communication skills
  • Proficiency in Microsoft Office Suite (Word, Excel, Outlook)
  • Ability to work both independently and collaboratively within a project team

Preferred
  • Prior internship, co-op, or construction experience (any discipline considered)
  • Familiarity with AutoCAD, Revit, or structural analysis software (SAP2000, RISA, etc.)
  • Coursework or interest in bridge engineering, structural rehabilitation, or transportation infrastructure
  • Familiarity with AREMA (American Railway Engineering and Maintenance-of-Way Association) standards
  • Experience or willingness to work in an active construction site environment
 
Learning Outcomes
Students completing this co-op placement will develop competencies in:
 
  • Real-world application of structural engineering principles to a complex movable bridge rehabilitation
  • Understanding of the full project lifecycle from design coordination through construction administration
  • Communication and collaboration skills within multi-disciplinary engineering teams
  • Familiarity with heavy civil construction methods, materials, and safety protocols
  • Exposure to railroad infrastructure standards, maritime permitting, and project stakeholder management
 
Work Environment & Requirements
  • Work is split between office/project team environment and active construction site visits
  • Site visits require the use of personal protective equipment (PPE), including hard hat, safety vest, and steel-toed boots — provided or reimbursed
  • Must be able to climb stairs, access elevated work platforms, and work near open water
  • Valid driver's license and ability to travel locally to the project site required
  • Must comply with BNSF Railway site safety and security access requirements (background check may be required)
 
How to Apply
To be considered for this co-op position, please submit the following:
 
  • Resume (include GPA, relevant coursework, and any prior work/project experience)
  • Unofficial academic transcript
  • Brief cover letter describing your interest in the project and relevant skills (1 page max)

Applications are reviewed on a rolling basis. Early submission is encouraged as positions may fill prior to the posted deadline.
 

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