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Junior Machine Learning Jobs in Oregon (NOW HIRING)

BetterHelp

Staff ML/AI Platform Engineer

OR · On-site +1

Experience in writing data pipeline and machine learning libraries and utilities * Willingness to learn new technologies * Willingness to mentor junior ml engineers and data scientists * Comfortable ...

StenTech, Inc

JUNIOR CAM PROGRAMMER I

Hillsboro, OR · On-site

This position is ideal for individuals with machining experience, entry-level CAM programming ... continuous learning. We encourage employees to contribute ideas, explore new manufacturing ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

You will leverage the latest machine learning techniques, and technology to optimize underwriting ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

You will leverage the latest machine learning techniques, and technology to optimize underwriting ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

You will leverage the latest machine learning techniques, and technology to optimize underwriting ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

Smarsh

Lead Data Scientist

OR · On-site +1

Client/prospect guidance in machine learning model and analytic fine-tuning/development processes * Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

You will leverage the latest machine learning techniques, and technology to optimize underwriting ... As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ...

Attain Talent

Lead AI/ML Engineer

OR · On-site +1

$180K - $230K/yr

Build, train, evaluate, and optimize machine learning models for production use cases ... junior team members. * Present technical findings, experiment results, and architectural ...

Fuze Health

Applied Scientist - FuzeRx

OR · On-site +1

Your deep expertise in NLP, large language models, and machine learning systems will accelerate ... Demonstrated ability to lead cross-functional initiatives, influence strategy, and mentor junior ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Oregon

Junior Machine Learning information

See Oregon salary details

$8

$28

$50

How much do junior machine learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for junior machine learning in Oregon is $28.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $35.10 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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

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

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

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

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

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

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,280 per year, or $28.5 per hour.

Junior Solutions Architect - MLOps & Real-Time Data Integration

Striim, Inc.

OR • On-site, Remote

$120K - $130K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 29 days ago

Job description

We are seeking a Junior Solution Architect with a strong foundation in data science, MLOps, cloud data platforms, and modern data engineering to help design and implement real-time data integration and AI-enabled architectures. Working alongside experienced Solution Architects and Engineering teams, this role provides an opportunity for an early-career professional to gain hands-on experience designing scalable streaming data solutions that power enterprise AI, cloud modernization, and real-time analytics.

The ideal candidate is eager to apply data science and machine learning concepts to real-world enterprise challenges, expand technical expertise across modern cloud and data technologies, and develop into a trusted technical architect within a collaborative, fast-paced environment.

Responsibilities

  • Design and implement scalable real-time data integration and Change Data Capture (CDC) solutions using the Striim platform.
  • Design streaming data architectures connecting enterprise databases, cloud data platforms, messaging systems, and AI/ML environments.
  • Develop data pipelines that support machine learning workflows, feature engineering, model inference, and real-time AI applications.
  • Build proof-of-concepts, reference architectures, and deployment patterns for enterprise implementations.
  • Configure, optimize, and troubleshoot data pipelines across cloud and hybrid environments.
  • Collaborate with Engineering, Product, and GTM Engineering teams to validate architectural designs, resolve complex technical challenges, and improve platform capabilities.
  • Participate in architecture reviews, implementation planning, and production readiness activities.
  • Create technical documentation, architecture diagrams, and implementation best practices.
  • Evaluate emerging technologies across AI, MLOps, cloud computing, and real-time data streaming.

Requirements

  • 1-3 years of professional experience or equivalent graduate research, internships, or project experience in data science, machine learning, data engineering, cloud engineering, or solution architecture.
  • Strong foundation in data science, including machine learning algorithms, model selection, feature engineering, and the machine learning lifecycle.
  • Understanding of modern MLOps practices, including model deployment, inference, monitoring, versioning, and CI/CD for machine learning applications.
  • Experience or academic exposure to machine learning frameworks and platforms such as MLflow, Kubeflow, Vertex AI, SageMaker, or Azure Machine Learning.
  • Familiarity with modern data integration concepts, including Change Data Capture (CDC), event-driven architectures, and real-time streaming data pipelines.
  • Working knowledge of relational and NoSQL databases, including SQL proficiency and database administration fundamentals.
  • Experience with cloud platforms and modern cloud data ecosystems, including AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Amazon Redshift, or Azure Synapse.
  • Experience programming in Python or Java and working with REST APIs and JSON.
  • Understanding of Docker containers and modern DevOps concepts; familiarity with Kubernetes, Git, and CI/CD pipelines.
  • Strong analytical, troubleshooting, written, and verbal communication skills.
  • Demonstrated curiosity, adaptability, and a passion for learning emerging technologies in AI, cloud computing, and real-time data streaming.
  • Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical discipline.

Benefits

  • Competitive salary and pre-IPO stock options
  • Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • The chance to contribute to and shape an upbeat, fully engaged culture

Compensation

$120,000 - $130,000 USD on an annualized basis. In addition to base pay, this role offers the opportunity to earn commission-based rewards.

Applications will be reviewed on a rolling basis and accepted until the position is filled.

Apply