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Machine Learning Jobs in Gresham, OR (NOW HIRING)

Machine Operator

Milwaukie, OR · On-site

$19 - $21/hr

Operators will be responsible for maintaining a steady, efficient flow of product through the fill machine, learning the machine's interface fluently and the general well-being of the machine itself.

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

Responsibilities : • Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements • Developing account growth ...

AI Solutions Architect

Portland, OR

$66.75 - $88/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

Senior Software Engineer

Beaverton, OR · On-site

$127.50K - $168K/yr

Serve as an integral member of a multi-functional engineering teams that delivers solutions unlocking machine learning for Nike; analyze and profile data to uncover insights in support of scalable ...

The role involves identifying business problems, developing machine learning models, and communicating insights to stakeholders while focusing on delivering data-driven solutions for clients.

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DSP Algorithms Engineer

Hillsboro, OR · On-site

$155.70K - $181.90K/yr

Proficient in DSP theory, scientific programming, adaptive filtering, machine learning, GMM, clustering and neural networks. Strong commitment to quality using algorithm performance evaluation ...

We also want to see a passion for machine learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities Identify valuable data sources and ...

... machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality ...

Develop, code/configure, test programs/systems and solutions problems in order to meet defined digital product specifications and direction; develop robust advanced analytics and machine learning ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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Machine Learning information

See Gresham, OR salary details

$27K

$45.1K

$93.2K

How much do machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning in Gresham, OR is $45,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $48,700.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
What are the most commonly searched types of Machine Learning jobs in Gresham, OR? The most popular types of Machine Learning jobs in Gresham, OR are:
What cities near Gresham, OR are hiring for Machine Learning jobs? Cities near Gresham, OR with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Gresham, OR as of May 2026, with employment types broken down into 48% Full Time, 50% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $45,112 per year, or $21.7 per hour.
Machine Learning Engineering Manager, Model Delivery

Machine Learning Engineering Manager, Model Delivery

Autodesk

Portland, OR

$148.50K - $266.20K/yr

Full-time

Posted 29 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 184 rated software companies


Job description

Job Requisition ID #

26WD95770

Position Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.

As a Machine Learning Engineering Manager on the Model Delivery team within Autodesk Research, you will lead production ML engineering across deployment, monitoring, evaluation, reliability, and operational excellence for ML-powered features. This is a hands-on leadership role, combining people leadership with hands-on technical work. You'll help deliver and operate ML systems that include 2D/3D generative models and other AI capabilities used across Autodesk products.

You will report to the Head of Model Delivery within Autodesk Research. This role is based in proximity to our North American Autodesk offices, including San Francisco, Portland, Boston, Toronto, Montreal, and Vancouver. We support both in-person, hybrid, and remote work.

Responsibilities

  • Lead and grow a team of ML engineers focused on production ML systems

  • Lead model improvements in response to production issues, product feedback, and new research or platform advancements

  • Lead production release processes for ML services, including release planning, CI/CD, staged rollouts, and rollback procedures

  • Build and operate observability and on-call practices for ML features, including monitoring, alerting, dashboards, incident response, and post-incident reviews

  • Develop and maintain scalable evaluation frameworks, datasets, and automated regression tests to prevent quality regressions

  • Lead reliability, performance, and cost improvements for inference and serving, including capacity planning and meeting SLAs (latency, throughput, availability)

  • Partner with researchers, product, and platform teams to define quality bars and production readiness, including Trusted AI requirements

  • Establish and evolve production standards and governance across ML features (testing, evaluation methodology, release gates, model versioning and lineage)

  • Partner with platform and product teams to integrate ML capabilities into products

Minimum Qualifications

  • BS/MS in CS/Engineering or equivalent experience

  • Experience building and operating software systems, including production ML systems

  • People leadership experience, or strong technical leadership experience (mentoring, setting direction, driving delivery)

  • Experience with cloud infrastructure and production observability (AWS, Azure, or GCP)

  • Experience with CI/CD, reproducible deployments, and operating services in production

  • Strong written communication and documentation skills

Preferred Qualifications

  • Owned an end-to-end production ML service (releases, monitoring, incidents, and improvements)

  • Experience with model evaluation, quality metrics, and continuous testing in CI/production

  • Experience optimizing inference latency and cost

  • Experience deploying large or foundation models in production (performance, scaling, and efficiency tradeoffs)

  • Experience with 3D data (geometry/CAD/BIM) and/or generative AI systems is a plus"

  • Familiarity with CAD, BIM, manufacturing, AEC, or media workflow

If you're excited about this role but don't meet every qualification, we encourage you to apply.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $148,500 and $266,200. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982