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Machine Learning Object Detection Jobs in Portland, OR

Chabez Tech

Machine Learning Engineer

Portland, OR

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... anomaly detection Hands-on experience with causal inference methods (e.g., Bayesian networks ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... detection • Hands-on experience with causal inference methods (e.g., Bayesian networks ...

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:

Coulson Aviation

CV/ML Engineer

Portland, OR · On-site

$140K - $190K/yr

You will own all machine learning and computer vision work on the team. Your primary focus will be ... Strong experience with image segmentation, object detection, or scene classification (PyTorch ...

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 ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR

$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 ...

SynergisticIT

Python Developer

Vancouver, WA · On-site

$52.50 - $72.50/hr

... Object relational mappers Road to data science Machine learning and AI Deep learning Understanding of multi-process architecture Analytical skills Education Requirement Degree in computer science or ...

Deloitte

AI Engineer - SFL Scientific

Portland, OR · On-site

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 ...

Marmon

Turning Machinist, 1st Shift

Hillsboro, OR · On-site

$23.75 - $32.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Starts and observes machine operation to detect malfunctions or out-of-tolerance machining.

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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 Jun 26, 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 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 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 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 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

Machine Learning Engineer

Chabez Tech

Portland, OR

Contractor

Posted 2 days ago

Job description

Job Description

Job Title: Machine Learning Engineer
Location: Portland, OR - Onsite (Local only / F2F interview)
Duration: 24 Months Contract

Experience Level: 5+ years of experience

Required Qualifications
    Bachelor's or master's degree in computer science, Machine Learning, Electrical Engineering, or related field 
    5+ years of experience in machine learning, data science, or AI engineering 
    Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) 
    Experience with time-series data analysis and anomaly detection 
    Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) 
    Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) 
    Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) 
    Experience deploying ML models in production systems 
    Strong problem-solving skills and ability to work with complex, real-world datasets

Preferred Qualifications
    Experience with fault tree analysis (FTA), reliability engineering, or failure analysis 
    Background in industrial systems, semiconductors, manufacturing, or IoT environments 
    Experience with graph-based ML / Graph Neural Networks (GNNs) 
    Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams) 
    Experience with vector databases, RAG systems, or LLM-based reasoning 
    Knowledge of MLOps practices (CI/CD, monitoring, model governance) 
    Experience working in air-gapped or high-security environments 
 

Additional Information

All your information will be kept confidential according to EEO guidelines.

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