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Machine Learning Object Detection Jobs in Portland, OR

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

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 ...

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 ...

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

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 ...

Senior AI Engineer - SFL Scientific

Portland, OR

$110.80K - $152.20K/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 ...

Python Tutor

Portland, OR · Remote

$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 ...

Turning Machinist, 1st Shift

Hillsboro, OR

$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.

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.

Milling Machinist, 2nd Shift

Hillsboro, OR · On-site

$24 - $31.75/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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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 May 30, 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:
Infographic showing various Machine Learning Object Detection job openings in Portland, OR as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $136,560 per year, or $65.7 per hour.

Machine Learning Engineer

Chabez Tech

Portland, OR

Contractor

Posted 4 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.