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Freelance Full Stack Machine Learning Engineer Jobs in Oregon

May Mobility

Lead Machine Learning Engineer

OR · On-site +1

$102K - $134K/yr

... stack. * Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA ... Practical experience handling the "Long Tail" problem in Machine Learning. * Strong programming ...

Intel

Sr. Machine Learning Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... Hands-on experience implementing and scaling the full **post-training pipeline** for language ...

OneStudyTeam

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

Upstart

Staff/Principal Machine Learning Engineer

OR · On-site +1

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering-collaborating closely with Research Scientists, Data Scientists, and ML Platform ...

May Mobility

Lead Machine Learning Engineer - Localization

OR · On-site +1

$102K - $134K/yr

... stack. As the Lead ML Engineer for Localization, you will build the production-grade feature ... Architect and drive the technical roadmap for a production-grade localization machine learning ...

Gametime United

Senior Full Stack Engineer

OR · On-site +1

... learning, and continuous improvement. We're also investing heavily in AI. From internal engineering ... The Opportunity We're hiring Senior Full Stack Engineers to help build and scale the systems ...

What the Tech, Bend?

Full Stack Developer

Bend, OR · On-site

$125 - $175/hr

Full Stack Developer Company: Uptech Studio We are looking for a Full Stack Developer who has built and shipped apps for the web and/or mobile, preferably with Flutter, React and/or NestJS experience.

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Freelance Full Stack Machine Learning Engineer information

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Oregon?

The most popular types of Full Stack Machine Learning Engineer jobs in Oregon are:

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For Freelance Full Stack Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:

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The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Oregon are:

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Cities in Oregon with the most Freelance Full Stack Machine Learning Engineer job openings:

Freelance Full Stack Machine Learning Engineer jobs near you
Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in Oregon as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, 1% Contract, and 1% Nights. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

Lead Machine Learning Engineer

May Mobility

OR • On-site, Remote

$102K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Key responsibilities

  • Design, train, and evaluate models for autonomous driving, simulation, and ML platform stack.

  • Leverage emerging techniques in End-to-End driving, Vision Language Action, World, or Foundation model domains to solve commercial-scale problems.

  • Lead small teams of cross-functional engineers and define data, training, and evaluation practices for large-scale model training.

Job description

We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you will play a critical role in enhancing May's Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality.

Essential Responsibilities
  • Design, train and evaluate state of the art models for May's autonomous driving, simulation and ML Platform stack.
  • Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.  
  • Lead small teams of cross functional Engineers beyond the state of the art.
  • Define data balance, training experiment and evaluation practices to train efficiently at petabyte scale.
Skills and Abilities

Success in this role typically requires the following competencies:

  • Direct experience architecting & training VLA, MMLM, or Generative World Models for commercial-scale applications
  • Experience composing, processing and characterizing large (>100TB) multi-modal datasets
  • Experience analyzing and addressing long-tail failure cases in large models
  • Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership.
Qualifications and Experience

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

Required
  • Extensive practical experience in one of the following domains:
    • Vision Language Action Models
    • Generative World Models
    • Foundation Models in Robotics
    • Data Centric AI
  • A minimum of 4 years of industry experience working on commercial robotics systems.
  • A minimum of 1 year mentoring ML Engineers in a commercial or lab environment.
  • Master's degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation.
  • Practical experience handling the "Long Tail" problem in Machine Learning.
  • Strong programming skills in Python/PyTorch in a Linux environment.
  • Functional understanding of LiDAR, Camera and Radar processing techniques.
Desirable
  • PhD and/or published research in the described specialty domains.
  • Familiar with common post-training techniques.
  • Experience deploying models to resource constrained and edge hardware
  • Functional understanding of C/C++/CUDA memory and threading models.
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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