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Entry Level Computer Vision Deep Learning Engineer Jobs in Donald, OR

Apple

FE RTL Infrastructure - CAD Engineer

Beaverton, OR · On-site

$172K/yr

Description As a Front-End (FE) RTL Infrastructure - CAD Engineer, you will play a major role in ... In short, this position focuses in fostering our North Star and making sure that our vision ...

Pwc

US Tech - AI Engineering Senior Associate

Portland, OR · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

Apple

FE RTL Infrastructure - CAD Engineer

Beaverton, OR · On-site

$172K/yr

Description As a Front-End (FE) RTL Infrastructure - CAD Engineer, you will play a major role in ... In short, this position focuses in fostering our North Star and making sure that our vision ...

Apple Inc.

Custom Circuits Design Engineer

Beaverton, OR · On-site

$140 - $210/hr

Machine learning accelerators, SRAM circuits, non‑volatile memories, weak / moderate inversion ... Deep understanding of deep submicron device physics, leakage mechanisms, technology interactions ...

Kickstand

Senior Software Engineer

Portland, OR · On-site

$129K - $171K/yr

Undergrad or Masters in Computer Science or a related field. * Experience working with/setting up ... Interest in learning new programming languages.

Tektronix

Applications Engineer

Beaverton, OR · On-site

$67.30 - $124.90/hr

... deep technical expertise in electrical test and measurement instrumentation and grow into a ... This reality inspires our Inclusion & Diversity vision, We Are More Together, and guides our ...

New

Ralliant

Hardware Design Engineer

Beaverton, OR · On-site

$64 - $119/hr

Position Summary We are seeking an entry-level Hardware Design Engineer to contribute to the design ... Bachelor's degree in Electrical Engineering, Computer Engineering, or related discipline. * 0-2 ...

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All JobsComputer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer Jobs in Donald, OR

Entry Level Computer Vision Deep Learning Engineer information

See Donald, OR salary details

$50.9K

$127.5K

$144.3K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level computer vision deep learning engineer in Donald, OR is $127,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $138,000.00 per year, depending on experience, location, and employer.

What does an entry level computer vision deep learning engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What types of projects do entry level computer vision deep learning engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What are the key skills and qualifications needed to thrive as an entry level computer vision deep learning engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.

What cities near Donald, OR are hiring for Entry Level Computer Vision Deep Learning Engineer jobs?

Cities near Donald, OR with the most Entry Level Computer Vision Deep Learning Engineer job openings:

Entry Level Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Donald, OR as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,538 per year, or $61.3 per hour.

Postdoctoral Scholar

Oregon Health & Science University

Portland, OR • On-site

Full-time

Re-posted 29 days ago

Oregon Health & Science University rating

8.1

Company rating: 8.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

163rd of 620 rated colleges and universities

Job description

Department Overview

This position is focused on research-based computational and data-driven analysis of CRISPR screening datasets to study metabolic changes in cancer and other disease systems. Responsibilities include, but are not limited to, processing and analyzing large-scale CRISPR perturbation data, integrating CRISPR screening results with multi-omics datasets, developing computational pipelines to identify metabolic vulnerabilities and regulatory mechanisms, and supporting study coordination, data management, and related regulatory documentation.

Function/Duties of Position
  • Processing and analyzing CRISPR screening data, including data curation, normalization, quality control, hit identification, and downstream statistical analysis using Python, R, and other relevant software tools.
  • Integrating CRISPR perturbation data with transcriptomics, metabolomics, proteomics, and other omics datasets to identify metabolic pathway alterations, gene dependencies, and functional mechanisms.
  • Assisting in the development and implementation of robust computational pipelines, algorithms, and reproducible workflows for analyzing CRISPR-based functional genomics data and metabolic phenotypes.
  • Producing analytical summaries, reports, and data visualizations of CRISPR screening and multi-omics results, including statistical analyses, pathway enrichment results, gene dependency maps, and network-based interpretations.
  • Maintaining rigorous quality control standards, keeping careful records, and working closely with other scientists to coordinate analyses, interpret results, and troubleshoot technical issues.
  • Supporting the interpretation of screening results in the context of metabolic regulation, cellular adaptation, therapeutic response, and disease progression.
  • Working independently within established guidelines, using sound judgment in decision-making, and communicating effectively as part of an interdisciplinary research team.
  • Assisting with documentation and administrative tasks related to data access, protocol compliance, IRB-related paperwork, and other research regulatory requirements as needed.
Required Qualifications

  • PhD Degree in relevant field.

  • Experience or interest in data processing, text, numerical or imaging data analysis.

  • Experience with data analysis, high dimensional clinical or omics analysis, data visualization, and report generation.

  • Organizational skills, MS Office competency. Python, R, MATLAB, and C++ programming. Webserver and database development.

  • Ability to communicate effectively, relay issues and troubleshoot, problem solving abilities, and high attention to detail.

Preferred Qualifications
  • Experience in CRISPR screening data analysis and applications in metabolism related diseases.

  • Experience with data management, and high dimensional data analysis.

  • Experience in software development and/or image analysis pipeline development

  • Experience in machine learning and/or deep learning.

  • Knowledge of cloud computing, large language model, representational learning.
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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