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Machine Learning Engineer Associate Jobs in Oregon

May Mobility

Lead Machine Learning Engineer

OR · On-site +1

$102K - $134K/yr

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 ...

Cresta

Staff Machine Learning Engineer

OR · On-site +1

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

Quora

$139K - $168K/yr

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 ...

Quora

$139K - $168K/yr

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 ...

Quora

$139K - $168K/yr

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 ...

Quora

$139K - $168K/yr

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 ...

May Mobility

Lead Machine Learning Engineer - Localization

OR · On-site +1

$102K - $134K/yr

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

Nextdoor

Senior/Staff Machine Learning Engineer - Ads

OR · On-site +1

$205K - $355K/yr

Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform * Collect and gather ...

Netflix

Machine Learning Engineer 5 - Globalization

OR · On-site +1

$466K - $750K/yr

We are looking for an experienced Machine Learning Engineer with deep expertise in training and inference efficiency for Large Language Models (LLMs), Multimodal LLMs, and other media ML models. In ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Oregon

Machine Learning Engineer Associate information

See Oregon salary details

$43.9K

$87.4K

$139.6K

How much do machine learning engineer associate jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer associate in Oregon is $87,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,300.00 and $100,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

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

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

What are popular job titles related to Machine Learning Engineer Associate jobs in Oregon?

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

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

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

What cities in Oregon are hiring for Machine Learning Engineer Associate jobs?

Cities in Oregon with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer Associate jobs near you

Lead Machine Learning Engineer

May Mobility

OR • On-site, Remote

$102K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

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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