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Paid Training Programming Jobs in Oregon (NOW HIRING)

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Paid Training Programming information

See Oregon salary details

$8

$28

$50

How much do paid training programming jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for paid training programming in Oregon is $28.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $35.10 per hour, depending on experience, location, and employer.

What is paid training programming?

Paid training programming refers to structured programs where participants receive compensation while learning specific skills or completing job-related training. These programs are often offered by employers or educational institutions to prepare individuals for particular roles or industries. Paid training can cover technical skills, company procedures, or industry certifications and provides a way for trainees to earn income as they learn. It benefits both employers, who gain skilled workers, and employees, who can gain experience without financial hardship.

What can I expect during the onboarding and mentorship process in a paid training programming role?

In a paid training programming role, onboarding typically includes a structured curriculum that covers both coding fundamentals and company-specific tools or workflows. You'll likely be paired with a mentor or work on a team, receiving guidance through code reviews, pair programming, and regular feedback sessions. Many organizations host workshops or project-based assignments to help you apply your learning in real-world scenarios. This supportive environment helps build your confidence and accelerates your transition into a full-time programming position.

What are the key skills and qualifications needed to thrive in a paid training program, and why are they important?

To thrive in a Paid Training Program, candidates typically need a high school diploma or equivalent, a willingness to learn, and a strong work ethic. Familiarity with industry-specific tools or basic computer systems may be required depending on the field. Soft skills such as adaptability, communication, and teamwork help trainees make the most of learning opportunities and collaborate effectively. These qualifications and skills are crucial because they enable participants to successfully absorb new information and transition into productive roles within the organization.

What is the difference between Paid Training Programming vs Paid Training Welding?

AspectPaid Training ProgrammingPaid Training Welding
Required CredentialsHigh school diploma or equivalent; basic technical skillsHigh school diploma or equivalent; technical certifications often preferred
Work EnvironmentOffice settings, training centers, or on-site projectsConstruction sites, manufacturing plants, or industrial facilities
Employer & Industry UsageTech companies, training providers, and some manufacturing sectorsConstruction, manufacturing, and industrial sectors
Common Search & Comparison IntentUnderstanding training options for programming careersLearning about paid training opportunities in welding

Paid Training Programming typically involves classroom and on-the-job training in software development or IT, often in office or tech environments. Paid Training Welding focuses on hands-on skills in industrial settings. Both offer paid training but differ in industry, environment, and skill sets.

What are popular job titles related to Paid Training Programming jobs in Oregon?

For Paid Training Programming jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Paid Training Programming jobs in Oregon look for?

The top searched job categories for Paid Training Programming jobs in Oregon are:

Paid Training Programming jobs near you
Infographic showing various Paid Training Programming job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $59,280 per year, or $28.5 per hour.

Machine Learning Engineer II - Autonomous Driving Training Infrastructure

OR • On-site, Remote

May Mobility
Urban Transit Systems • 11 - 50 employees
Learn more about May Mobilityexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Job Summary

May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles.

We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and ML concepts to design and operate pipelines that allow May's Autonomous Driving stack to improve quickly and reliably at scale.

Essential Responsibilities
  • Own the process to transition Autonomous Driving ML models from concept to commercial scale.
  • Architect and operate data,  training and evaluation pipelines across cloud and cluster environments.
  • Design and maintain the data and metadata stores that back our training and evaluation workflows.
Skills and Abilities

Success in this role typically requires the following competencies:

  • Employ data and model parallelism training techniques for large data (>100TB) or large model (>100GB) applications
  • Architecting and operating containerized/pipelined ML Training workloads, including GPU scheduling/autoscaling, dataloader design and experiment tracking.
  • Building and maintaining CI/CD pipelines and infrastructure.
  • Working with relational and object stores, and high-throughput data formats for ML workloads.
Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

  • Bachelor's or Master's degree in Robotics, Computer Science or a related field with strong mathematical and engineering foundations.
  • A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production.
  • Proficiency in C++, Python and PyTorch with experience in Linux environments.
  • Familiarity with basic concepts in Machine Learning (training loops, basic operators and architectures)

Desirable

  • Familiarity with basic Perception and Planning concepts in Autonomous Driving.
  • Proficiency in Go or Rust.
  • Familiarity with ML orchestration and experiment tooling such as Ray, Kubeflow, Airflow, MLflow, or Weights & Biases.
  • Familiarity with distributed training frameworks (PyTorch DDP/FSDP, DeepSpeed).
  • Familiarity with data pipeline and storage technologies (Spark, Parquet, object storage, feature/metadata stores).
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use

Travel required? -  Low 5-10%

Benefits and Perks

  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. 
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work. 
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing   
Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

Want to learn more about our culture & benefits? Check out our website!

May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

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