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Machine Learning Trainee Jobs in Portland, OR (NOW HIRING)

Administers written and practical exams and writes performance reports to evaluate trainees ... Conduct learning needs assessments to identify individual, departmental, divisional and ...

EPG Technical Trainer

Hillsboro, OR · On-site

$35.50 - $47/hr

This position champions a continuous learning environment for all Peterson business units ... Administers written and practical exams and writes performance reports to evaluate trainees ...

EPG Technical Trainer

Hillsboro, OR · On-site

$35.50 - $47/hr

This position champions a continuous learning environment for all Peterson business units ... Administers written and practical exams and writes performance reports to evaluate trainees ...

Machine Learning Trainee information

See Portland, OR salary details

$21.5K

$109.5K

$213.7K

How much do machine learning trainee jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning trainee in Portland, OR is $109,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,942.00 and $155,799.00 per year, depending on experience, location, and employer.

What is a machine learning trainee?

Machine Learning Trainees are entry-level professionals or students who are learning the fundamentals of machine learning, including algorithms, data analysis, and model development. They often work under the guidance of experienced data scientists or engineers to gain hands-on experience with real-world datasets and tools. Their responsibilities may include data preprocessing, implementing basic models, and assisting in research or software development. This role is typically designed to help individuals build foundational skills needed for more advanced machine learning positions.

What kind of projects and tasks can I expect to work on as a machine learning trainee?

As a Machine Learning Trainee, you'll typically assist with data preprocessing, exploratory data analysis, model implementation, and performance evaluation under the guidance of senior data scientists or engineers. You may help clean and organize datasets, experiment with different algorithms, and document your findings. Collaboration is a key part of the role, as you'll often work alongside cross-functional teams, including software developers and business analysts, to support ongoing projects. This hands-on experience provides a strong foundation for advancing to more specialized or independent roles in machine learning.

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

To thrive as a Machine Learning Trainee, you need a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts, often supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, and data visualization libraries, as well as version control systems such as Git, is commonly expected. Strong problem-solving abilities, eagerness to learn, and effective communication help trainees excel in collaborative and fast-evolving environments. These skills and qualities are crucial for quickly adapting to new technologies, understanding complex data, and contributing meaningfully to machine learning projects.

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

AspectMachine Learning TraineeData Scientist
Required CredentialsBasic understanding of programming, statistics, and machine learning concepts; often pursuing or recent graduatesAdvanced degree (Master's or PhD) in data science, statistics, or related fields; more experience
Work EnvironmentEntry-level, training-focused roles in tech companies, startups, or research labsFull-fledged data analysis, modeling, and decision-making roles in various industries
Employer & Industry UsageCompanies hiring for entry-level machine learning roles, internships, or training programsOrganizations leveraging data science for strategic insights, product development, or research

The main difference between a Machine Learning Trainee and a Data Scientist lies in experience, responsibilities, and skill level. Trainees are typically beginners gaining foundational knowledge, while Data Scientists are experienced professionals performing complex data analysis and modeling tasks.

What are the most commonly searched types of Machine Learning jobs in Portland, OR?

The most popular types of Machine Learning jobs in Portland, OR are:

What are popular job titles related to Machine Learning Trainee jobs in Portland, OR?

For Machine Learning Trainee jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Machine Learning Trainee jobs in Portland, OR look for?

The top searched job categories for Machine Learning Trainee jobs in Portland, OR are:

Infographic showing various Machine Learning Trainee job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $109,456 per year, or $52.6 per hour.

Computational Biologist 1

Portland, OR


Oregon Health & Science University
Colleges, Universities, and Professional Schools • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

168th of 627 rated colleges and universities

Great coworkers

People enjoy working here

Good employer


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

Department Overview

The primary mission of the Division of Oncological Sciences at OHSU's Knight Cancer Institute is to better understand cancer through basic, translational and population-based research that improves cancer prevention, detection and treatments for all. Our community of faculty, trainees and staff brings together scientists from a broad range of disciplines and works collaboratively to advance innovation and translate discoveries from the lab into meaningful impacts for cancer patients and our community.. Knight affiliates subscribe to three guiding principles: we are bold, we are supportive, and we work as a connected team in our fight to end cancer as we know it.  We'd love for you to join us!

Every Knight Cancer employee is expected to embody our guiding principles:

  • We act BOLDLY-Breakthroughs require pushing the boundaries of science, exploring new frontiers, and thinking differently
  • We SUPPORT each other-Respect leads to trust, which leads to excellence
  • We work as a CONNECTED team-We must leverage our collective brain power to conquer cancer because no one individual can do it alone
Function/Duties of Position

An exciting opportunity has been created for a Computational Biologist, Level 1 to join the Anupriya Agarwal Laboratory at the OHSU Knight Cancer Institute, Portland, OR to study the mechanisms of leukemia initiation and drug resistance using single-cell multi-omics approaches.

Dr. Agarwal and her team for over past 20 years focusing on identifying novel signaling pathways that are requisite for leukemia initiation, clonal evolution, and drug resistance.  The new team member will help lead the project focused on understanding the mechanisms of leukemia initiation and drug resistance in a context dependent manner. Applicants will need to possess strong technical and organizational skills as well as the ability to manage an independent project.

The position is in an interdisciplinary, collaborative, and highly translational environment in the OHSU Knight Cancer Institute. As a Computational Biologist, Level 1, you will be focusing on advancing early cancer detection and drug resistance. The work will concentrate on the discovery of new therapeutic targets in leukemia using single cell approaches. You will work with mentors who have experience in both biology and computational analysis aspects. You will support Agarwal Lab research by data preparation, analysis, and presentation. You would be assigned your own project(s). You will have a detailed knowledge of all aspects of data analysis, and you will be comfortable working both individually and in highly collaborative teams. You will possess good organizational and interpersonal skills.

Required Qualifications
  • Master's Degree in Computational Biology or related field OR Bachelor's Degree in Computational Biology or related field AND 3 years of relevant experience
  • Experience with analysis of 'omic data (genomic, transcriptomic, proteomic etc.), particularly for target or biomarker discovery
  • Experience in implementing statistical methods as appropriate for dataset treatment (e.g. quality inspection, normalization, differential feature detection, etc.)
  • Experience in developing pipelines to support analytics as described to additionally facilitate improved data management, and to generate complete workflows that are reproducible and scalable
  • High-level competency in an appropriate programming language (R or Python ideally)
  • An understanding of a variety of sophisticated statistical methods for data treatment
  • Usage of structured engineering methods for specifying, designing, and implementing systems and pipelines in high performance computing environments
  • Ability to prioritize multiple tasks at one time
Preferred Qualifications
  • Relevant coursework
  • Single-cell analysis
  • PhD's Degree in Computational Biology, Bioinformatics or related field
  • Experience with or knowledge regarding proteomics data (e.g. from mass spectrometry) would be a bonus but is NOT required and should not be a deterrence from applying
  • Experience with machine learning a bonus but not required
  • A passion for open-access innovation
Additional Details

Apply online. Please be sure to upload a Cover Letter and Resume/CV.

We offer a variety of benefits on top of joining a thriving organization:

  • Medical, dental and vision coverage at no or low cost to employees
    • Covered 100% for full-time employees and 88% for dependents
  • Several retirement plans to choose from with contributions from OHSU
  • 208 hours of PTO per year
  • 8 days of sick time off
  • 9 paid holidays per year
  • Commuter subsidies
  • Tuition reimbursement
  • Access to group life insurance, disability insurance and other supplemental benefits
  • Annual Merit Increase
  • Growth/Development Opportunities
  • Employee discounts to local and major businesses

#linkedin #indeed #knightcancerjobs #knightresearchandlabjobs #knightcompbiojobs #knightinternal

Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: OTHER

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About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887


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