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Junior Machine Learning Jobs in Oregon (NOW HIRING)

SentinelOne

Senior Backend Software Engineer, ObservoAI

OR · On-site +1

$122K - $161K/yr

... using advanced machine learning and LLMs. * Design cloud-native microservices and APIs that ... Provide technical leadership and mentorship to senior and junior engineers, driving system ...

May Mobility

Tech Lead, Performance Evaluation

OR · On-site +1

$102K - $134K/yr

Hands-on expertise in architecting and training complex predictive machine learning models. * Prior experience in mentoring and supporting junior engineers. Desirable * Background in Autonomous ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... machine learning, AI, and Business Intelligence across the organization. You'll serve as a ... Mentor junior engineers and contribute to a culture of technical excellence and continuous ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... machine learning, AI, and Business Intelligence across the organization. You'll serve as a ... Mentor junior engineers and contribute to a culture of technical excellence and continuous ...

Pwc

US Tech - AI Engineering Manager

Portland, OR · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

Instacart

Senior Detection Engineer II

OR · On-site +1

$104K - $143K/yr

Mentor junior security analysts and detection engineers on threat hunting methodologies, detection ... Knowledge of machine learning for threat detection #LI-Remote

Floss Creatives Limited

3D Creative Art Director

Portland, OR · On-site +1

$128K - $134K/yr

We are a specialised team of engineers, machine learning programmers, designers, art directors and ... Ability to translate concepts into creative design and mentor junior staff members. * Strong ...

Galois, Inc.

Principal Scientist

Portland, OR · On-site

Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis ... You'll publish and present your findings, mentor junior staff, and help set the national and global ...

Galois, Inc.

Principal Scientist

Portland, OR · On-site

Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis ... You'll publish and present your findings, mentor junior staff, and help set the national and global ...

BECU

Sr. Software Engineer - AI Innovation Team

OR · On-site +1

$110K - $204K/yr

From integrating machine learning models and generative AI services to guiding best practices and ... Mentor junior staff in AI technologies, coding practices, and decision-making. * Ensure Quality ...

Boosted.ai

Senior Software Engineer

OR · On-site +1

$122K - $161K/yr

You will be responsible for leading key initiatives, mentoring junior developers, and collaborating ... Experience with machine learning, data analytics, or financial services is a bonus Our Values We ...

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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 Sep 2, 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.

Senior Backend Software Engineer, ObservoAI

SentinelOne

OR • On-site, Remote

$122K - $161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 13 days ago

Job description

As a Senior Software Engineer, you will be tasked with leading the architectural design and technical strategy for high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers. You will drive technical excellence and lead complex engineering initiatives at scale for the Observo.ai team, our cutting-edge AI-driven data pipeline optimization platform.

What Will You Do?

Primary responsibilities include:

  • Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces).
  • Drive the development and optimization of ML-driven data routing and transformation engines to reduce customer data volumes by 80%+ while architecting real-time analytics systems using advanced machine learning and LLMs.
  • Design cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog) while establishing robust monitoring, alerting, and observability solutions.
  • Lead cross-functional technical initiatives and decision-making forums, collaborating with Product, Data Science, and DevOps teams to translate strategic vision into technical solutions and company-wide standards.
  • Provide technical leadership and mentorship to senior and junior engineers, driving system performance and reliability optimization while establishing engineering best practices and culture.
What Skills and Knowledge Will You Bring?

Ideal candidates will have:

  • 5+ years of software engineering experience focused on distributed systems, data engineering, or ML infrastructure with expert-level proficiency in Go, Rust, or Java.
  • Extensive experience with cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes), and a proven track record leading and scaling data pipelines using Kafka, Spark, or Flink.
  • Deep expertise in database technologies (SQL and NoSQL) and advanced experience with machine learning frameworks (TensorFlow, PyTorch) and MLOps practices for production ML systems.
  • Expert knowledge of observability tools and standards, including Prometheus, Grafana, ELK stack, OpenTelemetry, and Parquet, alongside extensive experience with Infrastructure as Code (Terraform).
  • Strong leadership and technical communication skills, with a track record of mentoring engineers, planning technical strategy, and driving decisions across multiple teams and stakeholders.
Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

  • Restricted Stock Units (RSUs)
  • Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

  • Flexible time off
  • Paid company holidays and paid sick time
  • Gender-neutral parental leave
  • Grandparent leave

Insurance & Financial Security

  • Medical, dental, and vision coverage
  • 401(k) retirement plan with company match
  • Life and disability insurance
  • Health and dependent care FSA
  • Voluntary benefits (hospital, accident, critical illness)
  • Employee Assistance Program (EAP)
  • ARAG pre-paid legal
  • Nationwide pet insurance
  • Cancer Care program
  • Global business travel medical insurance

Work Perks & Flexibility

  • Home office allowance
  • Mobile phone reimbursement

Wellness & Lifestyle

  • Wellness coach
  • Wellness/gym reimbursement
  • Fertility coverage
  • Adoption & surrogacy reimbursement

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