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Entry Level Machine Learning Engineer Jobs in Portland, OR

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 ...

SynergisticIT

Full-Stack Engineer

Portland, OR

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning:

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

ERP AI Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Eyecarecenterofsalem

Data Scientist

Portland, OR

... engineering and product development teams Requirements and skills Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine learning and operations ...

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All JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Portland, OR

Entry Level Machine Learning Engineer information

See Portland, OR salary details

$31.8K

$73.6K

$125.2K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for entry level machine learning engineer in Portland, OR is $73,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $83,300.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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 Entry Level Machine Learning Engineer jobs in Portland, OR? For Entry Level Machine Learning Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Portland, OR look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Entry Level Machine Learning Engineer jobs? Cities near Portland, OR with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Portland, OR as of June 2026, with employment types broken down into 11% Internship, 73% Full Time, 10% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $73,569 per year, or $35.4 per hour.
Senior Software Engineer

Senior Software Engineer

Nike

Beaverton, OR • On-site

$127K - $168K/yr

Full-time

Posted 5 days ago

Nike rating

7.6

Company rating: 7.6 out of 10

Based on 269 frontline employees who took The Breakroom Quiz

7th of 102 rated fashion retailers

Job description

Senior Software Engineer- NIKE, Inc.- Beaverton, OR. 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 solutions, clean, prepare and verify the integrity of data for analysis and model creation; track model accuracy, performance, relevance, and reliability; apply a variety of machine learning and collaborative filtering methods to data sets; aid in building APIs and software libraries that support adoption of models in production; leverage prior experience, knowledge of industry trends, and personal creativity to develop new and innovative solutions which delight our customers in their mission to serve Athletes; stay ahead of with industry trends and recommend relevant technologies & products in the areas of Analytics, Machine Learning, Artificial Intelligence, and Data Science tools and other emerging technologies; embrace and embody Nike's core values (Maxims) in work and interactions with peers and stakeholders; communicate effectively, building trust and strong relationships across the company. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
Must have a Master's degree in Software Engineering, Computer Engineering, and Computer Science and 2 years of experience in the job offered or in a engineering- related occupation.
Position requires:
• Distributed Systems
• CI/CD Pipelines
• Machine Learning Pipelines
• Cloud Platforms (Azure, AWS, GCP)
• API Development
• Model development and Training
• Databricks
• Apache Spark
• Deep Learning Frameworks (TensorFlow, PyTorch)
• Lakehouse architecture
• Large-Scale Data Preprocessing
• Programming (Python, SQL, C++)
• LLM Models (Generative AI, RAG)
• Data Governance
Apply at www.Nike.com/Careers (Job# R-84908)
#LI-DNI
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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