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Machine Learning Engineer Associate Jobs in Portland, OR

Pwc

GenAI Python Systems Engineer-Manager

Portland, OR · On-site

$99K - $232K/yr

Those in artificial intelligence and machine learning at PwC will focus on developing and ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $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 ...

Deegit Inc

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155K - $181K/yr

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

Pwc

Data Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

Focused on relationships, you are building meaningful client connections, and learning how to ... Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

Nike

Software Engineer

Beaverton, OR · On-site

... machine learning solutions that have a direct impact on the business; help design and build ... a engineer-related occupation. Position requires: • Software Development • Testing ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Portland, OR

Machine Learning Engineer Associate information

See Portland, OR salary details

$44K

$87.6K

$140K

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

As of Jul 10, 2026, the average yearly pay for machine learning engineer associate in Portland, OR is $87,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $100,700.00 per year, depending on experience, location, and employer.

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 Machine Learning Engineer Associates?

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 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 Portland, OR? The most popular types of Machine Learning Engineer jobs in Portland, OR are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Portland, OR? For Machine Learning Engineer Associate jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Portland, OR look for? The top searched job categories for Machine Learning Engineer Associate jobs in Portland, OR are:
Machine Learning Engineer Associate jobs near you
AI & Machine Learning Developer

AI & Machine Learning Developer

Johnson Health Tech North America Inc

Vancouver, WA

$99K - $119K/yr

Other

Medical, Dental, Life, Retirement, PTO

Re-posted yesterday

Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

130th of 427 rated machine equipment manufacturers

Job description

Description


Position Overview:

Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer - Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech's mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.


Responsibilities:

Research, design, and implement AI/ML solutions for mobile fitness applications.

Develop and fine-tune LLMs for natural language interactions and personalization.

Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).

Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.

Collaborate with Android developers to integrate AI features into client-side applications.

Create prototypes and proof-of-concepts for new AI-driven features.

Stay current with emerging AI/ML technologies and best practices.

Ensure compliance with data privacy and security standards.

Requirements


Education: 

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.


Experience:

3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.

Hands-on experience with AWS services for AI/ML deployment.

Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

Experience with RESTful APIs and microservices architecture.


Benefits:

We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:

Health & Dental Insurance

Company paid Life Insurance

401(k)

Paid Time Off benefits

Product discounts

Wellness programs



 Equal Opportunity Employer, including Veterans and Individuals with Disabilities 

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