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Machine Learning Trainer Jobs in Oregon (NOW HIRING)

OR · On-site

$91K - $124K/yr

This is a research-leaning role focused on theoretical problem formulation, training methodology ... PhD/Master in machine learning, statistics, computer science, information retrieval, or a closely ...

OR · On-site

$466K - $750K/yr

Experience building machine learning models or LLMs Experience scaling and optimizing the training and serving of machine learning models Experience with machine learning libraries TensorFlow ...

Overview LMI is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to support the ... model training and analysis. * Support CI/CD pipelines tailored for ML model development and ...

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... and training; licensure and certifications; and other business and organizational needs. The ...

OR · On-site

$466K - $750K/yr

Applied Machine Learning Research at Netflix drives various aspects of our business, including ... experience in post-training LLMs, including fine-tuning and distillation. Strong software ...

OR · On-site

PhD or Masters in Computer Science, Statistics, or a related field Expertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, and deploying models in ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Position requires: • Distributed Systems • CI/CD Pipelines • Machine Learning Pipelines • Cloud Platforms (Azure, AWS, GCP) • API Development • Model development and Training • ...

Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms. * Lead the design, training, and ...

... training, ensuring the security, scalability, and reliability of machine learning infrastructure. Qualifications : Required : • Bachelor's degree in Computer Science, Statistics, Data Science ...

OR

$466K - $750K/yr

Machine Learning drives innovation across all product functions and decision support needs ... You understand the full lifecycle from data and features to training, experiment tracking, and ...

OR

$114K - $137K/yr

Partners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoring.

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

In this position, you will drive the development of statistical models and machine learning ... model training and deployment. * Regulatory Compliance in Data Science: Ensure all data science ...

Develop machine learning models and scalable data pipelines to deliver practical, data-driven ... Experience with working with large-scale datasets for data processing and model training (2 years)

... training, deployment, and lifecycle management of various ML models. You will develop and deploy ... Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms ...

... experience, training, knowledge, skills, and abilities. POSITION SUMMARY Data Scientists are ... PRIMARY RESPONSIBILITIES * Hands-on development and write algorithms in machine learning ...

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Showing results 1-20

Machine Learning Trainer information

See Oregon salary details

$29.6K

$92.3K

$118.9K

How much do machine learning trainer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for machine learning trainer in Oregon is $92,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $117,400.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a Machine Learning Trainer in the workplace?

Machine Learning Trainers often encounter the challenge of explaining complex algorithms and abstract mathematical concepts to learners with varying levels of expertise. Adapting course materials to suit different learning styles and staying current with the latest advancements in machine learning require continuous self-development. Trainers may also need to collaborate closely with data scientists, engineers, and curriculum developers to ensure their training aligns with real-world applications. Overcoming these challenges not only enhances teaching effectiveness but also contributes to the overall growth of both trainers and their learners.

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

To thrive as a Machine Learning Trainer, you need a solid background in computer science, statistics, and machine learning concepts, often supported by relevant academic degrees and industry experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and certifications like TensorFlow Developer or AWS Machine Learning are valuable assets. Excellent communication, patience, and adaptability allow trainers to effectively convey complex concepts to diverse learners. These skills ensure effective teaching, learner engagement, and successful knowledge transfer in a rapidly evolving technological landscape.

What is a Machine Learning Trainer job?

A Machine Learning Trainer is responsible for preparing and curating datasets, fine-tuning machine learning models, and optimizing algorithms for accuracy and efficiency. They work closely with data scientists and engineers to improve model performance and ensure high-quality training data. This role involves tasks like labeling data, selecting features, and implementing preprocessing techniques. Additionally, they may develop training methodologies and evaluate models using various metrics to enhance their effectiveness.

What are popular job titles related to Machine Learning Trainer jobs in Oregon? For Machine Learning Trainer jobs in Oregon, the most frequently searched job titles are:
Senior Machine Learning Engineer - ML Training Infrastructure

Senior Machine Learning Engineer - ML Training Infrastructure

General Motors

Salem, OR • On-site, Remote

$170K - $240K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 305 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description

**The Role:  **

We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.

What You'll Do:

  • Design and development of scalable, reliable, high-performance ML framework to support model training at scale.

  • Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost.

  • Raise the bar on system observability, debuggability, and operational excellence, and user experience.

  • Collaborate with cross-functional teams to integrate new features and technologies into the platform.

Your Skills & Abilities (Required Qualifications)

  • Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience

  • 3+ years professional software engineering experience.

  • 2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models

  • Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (preferred), TensorFlow, or similar

  • Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).

  • Willingness to travel to Sunnyvale, CA as needed

  • Comfortable working in highly ambiguous and dynamic environments

What Will Give You a Competitive Edge (preferred qualifications):

  • 3+ years of professional software engineering experience.

  • Self-motivated, strong execution, impact-delivering oriented

  • Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework

  • Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models

  • Experience with profiling, analysis, debugging and optimizing training and data loading performance.

  • Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

  • The salary range for this role is $170,000 to $240,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Relocation: This job may be eligible for relocation benefits.

Benefits:

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#GM-AV-1

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

The selected candidate will be required to travel <25% for this role.

This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (https://search-careers.gm.com/en/working-at-gm/total-rewards) .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (https://search-careers.gm.com/en/how-we-hire) .

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire (https://search-careers.gm.com/en/how-we-hire/)

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations (https://search-careers.gm.com/en/locations/)

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com) (https://flows.beamery.com/generalmotors/talcom) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.

Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908