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Machine Learning Trainer Jobs in Oregon (NOW HIRING)

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 ...

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 • ...

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 ...

OR · On-site

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 ...

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.

Machine Operator

Happy Valley, OR

$18 - $21.25/hr

Machine Operator Join a highly automated, state-of-the-art manufacturing team where you will help ... Willingness to participate in ongoing training, job shadow programs, and online learning to expand ...

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 ...

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

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

OR

$128K - $166K/yr

Machine learning training and experimentation. Machine learning pipelines. Inference at production scale. Applying AWS cloud services at a large scale. Kubernetes used natively in platform services.

AI Red Teamer

OR · On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... We support personal growth and education through a dedicated L&D fund that can be used for training ...

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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 Jul 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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data preprocessing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and troubleshooting complex models, making complete replacement unlikely in the near term.

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 $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership, strategic planning, and may require extensive experience, advanced degrees, and knowledge of tools like TensorFlow or PyTorch.

What is the salary of machine learning trainer?

The salary of a machine learning trainer varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Professionals with advanced skills in programming, data analysis, and deep learning tools like Python, TensorFlow, or PyTorch tend to earn higher salaries.

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.

How much money do AI trainers make?

AI trainers, often considered a type of machine learning trainer, typically earn salaries ranging from $60,000 to $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with specialized skills in data annotation, model tuning, and relevant tools can earn higher wages.
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:
Infographic showing various Machine Learning Trainer job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $92,327 per year, or $44.4 per hour.
Data Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Overview

As our Data Scientist, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.

The impact you'll have at Concora Credit:

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize underwriting, marketing, and fraud strategies, understand business performance, and identify improvement opportunities. This position offers growth opportunities for someone who is passionate about analyzing business performance, making data-driven decisions, and testing and optimizing strategy.

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Responsibilities

As our Data Scientist, you will:

  • Partner with Credit Risk to build production machine learning models; your models will determine who we lend to and how we interact with existing customers
  • Assess the quality and risk of various model methodologies, algorithms, outputs, and business processes
  • Develop our understanding of new data sources and how they may improve our existing processes and credit decisions
  • Design, develop, and deploy infrastructure for the training, testing, and serving of models at scale
  • Develop benchmark and challenger models to effectively challenge critical modeling decisions
  • Develop explainability and monitoring tools to enable the responsible use of statistical machine learning models and adhere to regulatory guidelines
  • Develop and maintain high quality and transparent model documentation.
  • Communicate your insights and solutions at all levels of the organization through effective presentations and technical reports
  • Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data
  • Identify business challenges and opportunities, using modeling and analytics to deliver strategic or tactical recommendations
  • Expand Concora Credit's capabilities in risk, marketing and operational analytics
  • Partner with leaders to develop an enterprise modeling long term road map across the enterprise. Be focused on execution, and ensure that models are implemented successfully and timely in production
  • As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training opportunities

 

These duties must be performed with or without reasonable accommodation.

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

Requirements:

  • M.S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of industry experience in statistical modeling and analytics, preferably in the Finance industry, or Ph.D in field mentioned above with 1-3 years of relevant experience
  • 2+ years in data science, data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into testable hypotheses and/or next steps
  • Deep understanding and experience with data analysis, and statistical and machine learning models
  • Strong foundation in machine learning with experience implementing and optimizing machine learning models
  • Knowledgeable in applied statistics (e.g., hypothesis testing, regression techniques, probability, structured and un-structured learning algorithms, time series analytics, forecasting)
  • Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus
  • Strong Programming skills in Python and/or R (Python preferred)
  • Predictive modeling experience with a quantitative background is preferred
  • Experience working with consumer or business lending data is preferred
  • Excellent problem solver, disciplined attention to detail, great communicator
  • Strong ability to work proactively and collaboratively in a cross-functional team to drive results
  • Strong quantitative skills and communication skills - verbal and written

 

What's In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment-based visa sponsorship is not available for this role.

Concora Credit is an equal opportunity employer (EEO).

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

Employment Type: FULL_TIME