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Machine Learning Trainer Jobs in Oregon (NOW HIRING)

Nvidia

Senior Machine Learning Engineer, AI Safety

OR · On-site +1

$114K - $156K/yr

Model Pre-Training, Mid-Training, Post-Training: Develop datasets and recipes for filtering ... In-depth knowledge of machine learning principles and frameworks (PyTorch preferred) with strong ...

May Mobility

Lead Machine Learning Engineer - Localization

OR · On-site +1

$102K - $134K/yr

Architect and drive the technical roadmap for a production-grade localization machine learning ... Lead the research, design, training, and validation of advanced neural architectures. This includes ...

Nvidia

Senior Software Engineer, CUDA Deep Learning Systems

OR · On-site +1

$122K - $161K/yr

... both training and inference pipelines. Collaborate closely with AI researchers, HW and SW ... Research background in machine learning systems or adjacent fields and experience profiling and ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts. * Experience deploying and supporting production data pipelines with ...

Nvidia

Senior Software Engineer, JAX

OR · On-site +1

$122K - $161K/yr

... and machine learning research around the world. What You Will Be Doing: Play meaningful role in ... Understanding of deep learning training in distributed contexts: multi-GPU, multi-node, synchronous ...

Netflix

Software Engineer 4/5- AI for Member Systems

OR · On-site +1

$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 ...

Netflix

Research Scientist 5/6 - AI for Member Systems

OR · On-site +1

$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 ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

You will leverage the latest machine learning techniques, and technology to optimize underwriting ... Design, develop, and deploy infrastructure for the training, testing, and serving of models at ...

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All JobsMachine Learning Trainer JobsMachine Learning Trainer Jobs in Oregon

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 Sep 14, 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 is a machine learning trainer?

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 the key skills and qualifications needed to thrive as a machine learning trainer?

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 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 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:

What job categories do people searching Machine Learning Trainer jobs in Oregon look for?

The top searched job categories for Machine Learning Trainer jobs in Oregon are:

Machine Learning Trainer jobs near you
Infographic showing various Machine Learning Trainer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $92,327 per year, or $44.4 per hour.

Machine Learning Engineer New Grad 2024-2025 -Remote

Gresham, OR • On-site

Quora
Internet and IT • 501 - 1,000 employees
Learn more about Quoraexternal

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 24 days ago

Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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