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Product Manager Machine Learning Jobs in Portland, OR

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... in production systems • Strong problem-solving skills and ability to work with complex, real ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... in production systems • Strong problem-solving skills and ability to work with complex, real ...

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... production systems Strong problem-solving skills and ability to work with complex, real-world ...

Machine Learning Data Scientist

Lake Oswego, OR · On-site

$122.64K - $165.47K/yr

... productivity for Architecture, Engineering, Construction, and Operations. What Makes This Role ... In this role, you will be at the forefront of developing predictive machine learning models ...

... machine learning models and large language models. • Conduct research to provide technical ... product managers and business stakeholders understand the potential and limitations of AI when ...

... machine learning models and large language models. • Conduct research to provide technical ... product managers and business stakeholders understand the potential and limitations of AI when ...

AI Data Engineer Manager

Portland, OR

$121.40K - $145.80K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer ... Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Product Manager

Lake Oswego, OR · On-site

$105.60K - $145.20K/yr

Product Manager for the Next Generation of SketchUp! Are you ready to bring the next big innovation ... Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce ...

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Product Manager Machine Learning information

See Portland, OR salary details

$54.6K

$169.1K

$208.9K

How much do product manager machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for product manager machine learning in Portland, OR is $169,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,500.00 and $208,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Product Manager, Machine Learning, and why are they important?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.

How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What does a Product Manager for Machine Learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are popular job titles related to Product Manager Machine Learning jobs in Portland, OR? For Product Manager Machine Learning jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Portland, OR look for? The top searched job categories for Product Manager Machine Learning jobs in Portland, OR are:

Machine Learning Engineer

Chabez Tech

Portland, OR

Contractor

Posted 3 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

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