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Entry Level Machine Learning Engineer Jobs in Portland, OR

Design, build, test, and tune machine learning models using Python and other tools, focusing on ... Engineer, Application Developer, or equivalent. * Prior experience must include 3 years of ...

Develop machine learning models and scalable data pipelines to deliver practical, data-driven ... Master's degree, or foreign equivalent, in Computer Science, Engineering (any field), or a closely ...

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Experience deploying deep learning and machine learning models Experience designing and deploying ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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Showing results 1-20

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:
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.

$110K - $149K/yr

Contractor

Posted 7 days ago


Job description

Job Description
Responsibilities
• Design and implement distributed data processing pipelines using Spark, Hive, Sqoop, Python, and other tools and languages prevalent in the Hadoop ecosystem.Ability to design and implement end to end solution.
• Build utilities, user defined functions, and frameworks to better enable data flow patterns.
• Research, evaluate and utilize new technologies/tools/frameworks centered around Hadoop and other elements in the Big Data space.
• Build and incorporate automated unit tests, participate in integration testing efforts.
• Work with teams to resolving operational & performance issues
• Work with architecture/engineering leads and other teams to ensure quality solutions are implements, and engineering best practices are defined and adhered to.
Qualifications
• MS/BS degree in a computer science field or related discipline
• 6+ years' experience in large-scale software development
• 2+ year experience in Hadoop
• 2+ year experience in Data Science
• Strong development skills around Hadoop, Spark, MapReduce, Hive
• Strong Java programming, Python, shell scripting, and SQL
• Good understanding of file formats including Parquet, Avro, JSON and others
• Good understanding of R, TensorFlow, SAS or similar
• Experience with performance/scalability tuning, algorithms and computational complexity
• Experience (at least familiarity) with data warehousing, dimensional modeling and ETL development
• Proven ability to work cross functional teams to deliver appropriate resolution
Nice to have
• Experience with AWS components and services, particularly, EMR, S3, and Lambda
• Front end UI development experience, specifically Node JS or Angular JS
• Machine learning frameworks