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Machine Learning Object Detection Jobs in Portland, OR

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

... detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

... detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

... detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Time-series analysis and anomaly detection * Statistical modeling and machine learning algorithms * Hands-on experience with: * Root Cause Analysis (RCA) * Fault Tree Analysis (FTA) or failure ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

... detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize ...

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 ... Some of our novel use cases include cancer detection, drug discovery, optimizing population health ...

Varsity Tutors

Python Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Align Percision

CNC Machinist

North Plains, OR

$21.75 - $29.75/hr

If you are looking to join a Company whose employees thrive through continual learning and ... Monitors machine operation and display readouts to detect malfunctions. Compares display data to ...

Align precision

CNC Operator

North Plains, OR · On-site

$21.75 - $29.75/hr

If you are looking to join a Company whose employees thrive through continual learning and ... Monitors machine operation and display readouts to detect malfunctions. Compares display data to ...

Align Percision

CNC Operator

North Plains, OR

$21.75 - $29.75/hr

If you are looking to join a Company whose employees thrive through continual learning and ... Monitors machine operation and display readouts to detect malfunctions. Compares display data to ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Portland, OR

Machine Learning Object Detection information

See Portland, OR salary details

$33.4K

$136.6K

$205.2K

How much do machine learning object detection jobs pay per year?

As of Aug 25, 2026, the average yearly pay for machine learning object detection in Portland, OR is $136,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $164,400.00 per year, depending on experience, location, and employer.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

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

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

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

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

Machine Learning Object Detection jobs near you
Infographic showing various Machine Learning Object Detection job openings in Portland, OR as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $136,560 per year, or $65.7 per hour.

Vision Systems Engineer 4

Lam Research Corporation

Tualatin, OR • On-site

Full-time

Posted 14 days ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

129th of 495 rated machine equipment manufacturers

Job description

The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
At Lam, as a Product Engineer, you thrive in high-stakes, dynamic environment, driving product development at the forefront of the semiconductor equipment industry. Collaborating closely with customers and internal teams, you will provide real-time problem-solving to customer challenges and to enhance our products. Your passion for engaging with customers and innovative engineering drives progress in our industry, tackling the once unsolvable.
In this role, you will directly contribute to Equipment Intelligence team in The Deposition Group.
What you'll do
  • Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
  • Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
  • Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
  • Develop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.
  • Define data quality standards and establish model performance metrics to ensure production readiness.
  • Collaborate with process engineers, software developers, hardware engineers, and product teams to deliver integrated vision solutions.
  • Conduct root-cause analysis and use advanced analytics to improve yield, process stability, and equipment performance.
  • Drive innovation by evaluating emerging AI, machine learning, and computer vision technologies.
  • Mentor junior engineers and provide technical guidance on best practices in data science and machine learning.

Who we're looking for
We are seeking a highly skilled Vision System Data Science Engineer to lead the design, development, and deployment of advanced computer vision and machine learning solutions for complex industrial and manufacturing applications. The ideal candidate combines deep expertise in data science, computer vision, machine learning, and software engineering to transform image and sensor data into actionable insights that improve product quality, process control, and operational efficiency. As a senior technical contributor, you will drive end-to-end vision system development, collaborate with cross-functional teams, and provide technical leadership in AI-driven imaging and analytics initiatives.
Minimum Qualifications:
Master's degree in Data Science, Computer Science, Physics, or related field with 8+ years of relevant experience; or Ph.D. with 5+ years of experience.
Strong expertise in:
Computer Vision
Machine Learning and Deep Learning
Statistical Modeling and Experimental Design
Image Processing and Pattern Recognition
Proficiency C/C++ , in Python and scientific computing libraries such as:
TensorFlow and/or PyTorch
OpenCV
Experience developing and deploying production AI/ML systems.
Strong knowledge of CNNs, object detection, segmentation, and anomaly detection methodologies.
Experience with cloud platforms (Azure, AWS, or GCP) and MLOps practices.
Ability to handle large-scale structured and unstructured datasets.
Preferred qualifications
  • Experience in semiconductor manufacturing, industrial automation, robotics, medical imaging, or advanced inspection systems.
  • Knowledge of optical systems, cameras, sensors, and imaging hardware.
  • Experience with edge AI deployment and real-time inference systems.
  • Familiarity with SQL, Spark, Databricks, and distributed computing environments.
  • Increased process efficiency, yield, or product quality through AI-driven insights.
  • Successful deployment and adoption of vision solutions in production environments.
  • Technical leadership and influence across multiple engineering programs.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What Lam Research employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

Social media

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