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Junior Machine Learning Jobs in Oregon (NOW HIRING)

Deloitte

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

... machine learning engagements while collaborating with various stakeholders to align technical ... junior team members on technical practices Qualifications : Required : • Bachelor's degree in ...

BetterHelp

OR

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 ...

Pager Health

OR · On-site

Data Science & Machine Learning * Lead the design, development, deployment, and optimization of ... Provide technical guidance and mentorship to junior team members and peers as needed.

SynergisticIT

Junior Full Stack Engineer

Portland, OR

Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning ... Please understand skills are required by clients for selection even if it's a junior or entry level ...

Logistics Management Institute

Overview LMI is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to support the ... Mentor junior team members, guiding their ML and MLOps skill development while contributing to ...

Instacart

OR · On-site

... machine learning & AI to frontend technologies and more. About the Job * Develop & design ... Serves as a technical leader and mentor, guiding and empowering junior ML and software engineers ...

Deloitte

AI Solutions Architect

Portland, OR

$66.75 - $88/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

Smarsh

OR

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 ...

iHerb

OR

$114K - $137K/yr

Partners with data scientists to design, build, and maintain reproducible machine-learning ... Ability to guide junior engineers and contribute to technical design reviews. * Strong ...

Baylor Scott & White Health

$114K/yr

The Data Scientist 2 creates complex machine learning models used to identify key data features ... The position works closely with junior team members to mentor and guide their work while ...

Pwc

ERP AI Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze intricate challenges and provide actionable insights - Mentor and guide junior team members in their ...

Fuze Health

OR · On-site

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 ...

Fuze Health

OR · On-site

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 ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

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All 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 Jun 20, 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 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 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 engineers make $500,000?

Senior engineers in fields like software, data engineering, or specialized roles such as machine learning engineers can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

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.

Can I get into AI with no experience?

Junior Machine Learning roles typically require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is often preferred, beginners can enter the field by learning relevant skills through online courses, tutorials, and projects, and by gaining familiarity with tools like Python and machine learning frameworks. Building a portfolio and obtaining certifications can also improve chances of entry-level employment.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. These positions usually involve leadership responsibilities, extensive expertise, and may include stock options or bonuses as part of compensation packages.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

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 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
Junior Machine Learning Engineer-remote/BI Analyst - Junior Level (Remote)

Junior Machine Learning Engineer-remote/BI Analyst - Junior Level (Remote)

SynergisticIT

Portland, OR • On-site, Remote

Other

Posted 2 days ago

Job description

Turn a Tech Layoff or a Career Gap Into a Reset for a Better Career or Laid Off in Tech? Rebuild Momentum With a Placement Process or Returning to Tech After a Break? Worried About a Gap?

A layoff or a Career Gap can shake your confidence—even if you did nothing wrong. Downsizing, reorganizations, and budget cuts are business decisions, not personal failures. The tech industry still needs skilled developers — you just need the right platform to re-enter.

A career gap doesn't disqualify you — outdated skills do. But the job market can still feel brutal: you apply daily, watch automated rejections roll in, and wonder why your experience isn't translating into interviews. The truth is that hiring has shifted.

Employers want candidates who match current stacks, show recent hands-on proof, and interview strongly. If you've been out for 3–6+ months, that gap can become an extra filter—unless you deliberately rebuild momentum. We're actively engaging candidates for full-time opportunities aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI.

Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped candidates land full-time roles at major organizations (examples often listed include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Client, Client, Wayfair, and others), with offers in the $95k–$154k range depending on role and stack. Why laid-off candidates often struggle (even with experience) After a layoff, two things happen: Your skills may be solid, but your keywords and tools may be slightly behind the market.

Your interview performance may drop because stress makes you second-guess. Also, employers increasingly expect hybrid capability: not just "I coded,” but "I can build + deploy + collaborate + document + explain.” That's especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand.

The main lanes include: Entry-level to mid-level software engineering roles (especially backend/full stack) Java full stack roles (enterprise stability) Java/Python developer roles (flexibility across teams) DevOps/Cloud roles (automation, pipelines, reliability) Data roles (analytics → engineering → ML/AI) why placement support matters rebuild a job-ready portfolio fast adjust your resume and LinkedIn for ATS practice interviews under real conditions get scheduled interviews through structured outreach A layoff recovery plan that actually works A smart recovery plan is not "apply more.” It's: Re-stack: align skills to today's demand (Java/full stack/devops or data/ML). Rebuild proof: projects that look like work, not homework. Rehearse interviews: DSA, system design, SQL, behavioral storytelling.

Re-enter pipelines: structured outreach that leads to scheduled interviews. If you follow that with consistent coaching and iteration, your layoff becomes a pivot point—not a pause. If you're ready to stop refreshing job boards and start rebuilding momentum with support, begin here: If you want to explore here are the key links: Please check below links: Event videos (OCW, JavaOne, Gartner):https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience?

| Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Layoff reality: It can happen to anyone. Career recovery is a strategy problem, not a worth problem.

In tech, it's not only what you know—it's how you position it and who guides you that determines how quickly you return stronger. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also.

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