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

Apple

Custom Circuits Design Engineer

Beaverton, OR · On-site

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

Log Camp

Code The Future - Learning Assistant

Portland, OR · On-site

$465 - $1.5K/wk

Work with middle and high school students, helping them learn basic computer programming and coding ... Log Camp Learning Assistants help facilitate small-group learning sessions, and guide student ...

Varsity Tutors

Basic Computer Literacy Tutor

Portland, OR · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of computer hardware basics, operating system navigation, file management, internet ...

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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.

CAD Engineer - Design Verification Methodology

Apple Inc.

Beaverton, OR • On-site

$90 - $120/hr

Other

Posted 2 days ago

New

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Do you love building elegant solutions to highly complex challenges? As part of our Silicon Technologies group, you’ll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices. Together, you and your team will enable our customers to do all the things they love with their devices!

Description

As a member of our CAD team, you will develop, maintain, and enhance existing sophisticated software systems for regression-testing Apple’s silicon designs in software simulation, to find and report defects in our chip designs, and thus ensure that Apple tapes-out world-class silicon. Your experience and innovative ideas will inform the design of the next generation of these regression systems. Your experience and insight, your skill at diagnosing the root cause of complex problems, and your ability to guide engineers who come to you with problems will be important contributions to an extended CAD team that comprehensively supports Apple’s DV and chip design engineering efforts. You will work closely with EDA vendors to incorporate new capabilities of their commercial tools, and to resolve problems.

Minimum Qualifications
  • Minimum of BS degree + 3 years of relevant experience
  • Python programming background
Preferred Qualifications
  • Experience developing, maintaining, and enhancing an existing system for regressing RTL
  • Experience with TCL or Perl is a plus
  • Experience with artificial intelligence and machine learning
  • Experience with interacting with DV team(s) to help solve their problems.
  • Experience in implementing new functionality to solve emerging problems or to optimize already existing methods.
  • MSEE/CE/CS preferred
  • Knowledge in Verilog and SystemVerilog; familiarity with VHDL a plus
  • Experience with Synopsys VCS, XCelium, or Modelsim
  • Good communications skills are required and prior customer support experience is a plus
  • Experience writing or maintaining a script or Makefile that builds a simulation model from RTL is a plus
  • Familiarity with Verdi and/or Indago is considered a plus
  • Knowledge of C and C++ is a plus

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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