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Sr Machine Learning Engineer Jobs in Portland, OR

Deegit Inc

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155K - $181K/yr

Proficient in DSP theory, scientific programming, adaptive filtering, machine learning, GMM, clustering and neural networks. Strong commitment to quality using algorithm performance evaluation ...

Nike

Software Engineer

Beaverton, OR · On-site

... machine learning solutions that have a direct impact on the business; help design and build ... a engineer-related occupation. Position requires: • Software Development • Testing ...

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 ... Senior Machinist and Process Engineers to improve Cell processes. Qualifications * Generally ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Build and maintain machine learning models and AI services used in production environments * Design ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Build and maintain machine learning models and AI services used in production environments * Design ...

Socket.dev

Senior Software Engineer

Portland, OR · On-site

$140 - $190/hr

Who We're Looking For We are looking for a highly driven, product-minded Senior Software Engineer ... Experience working with AI, LLMs, or machine learning-powered products * Strong understanding of ...

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... Storm Machine learning framework Statistical analysis with Python, R or similar Additional ...

Nvidia

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence! Would you ... in deep learning, machine learning or other AI domains. * Work directly with other technical ...

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR · On-site

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... Machine learning framework • Statistical analysis with Python, R or similar Additional ...

PLEXSYS

Senior Software Engineer

Camas, WA

$134K - $177K/yr

A Senior Software Engineer (SSE) is responsible for designing, developing, and modifying corporate ... Experience utilizing Artificial Intelligence and Machine Learning technologies * Experience ...

PLEXSYS

Senior Software Engineer

Camas, WA · On-site

$117K - $148K/yr

A Senior Software Engineer (SSE) is responsible for designing, developing, and modifying corporate ... Experience utilizing Artificial Intelligence and Machine Learning technologies * Experience ...

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Showing results 41-60

All JobsSr Machine Learning Engineer JobsSr Machine Learning Engineer Jobs in Portland, OR

Sr Machine Learning Engineer information

See Portland, OR salary details

$63.1K

$134.2K

$194.6K

How much do sr machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for sr machine learning engineer in Portland, OR is $134,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $152,200.00 per year, depending on experience, location, and employer.

What is the difference between Sr Machine Learning Engineer vs Data Scientist?

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
What are popular job titles related to Sr Machine Learning Engineer jobs in Portland, OR? For Sr Machine Learning Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Sr Machine Learning Engineer jobs in Portland, OR look for? The top searched job categories for Sr Machine Learning Engineer jobs in Portland, OR are:
Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $134,214 per year, or $64.5 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR • On-site

Full-time

Re-posted 7 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a Senior Data Scientist - Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.
You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.
Key Responsibilities
  • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
  • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
  • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Requirements
    • 10+ years of experience in applied data science or advanced analytics
    • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
    • Strong domain experience in CPG, FMCG, retail, or similar industries
    • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
    • Strong SQL skills for large-scale data processing
    • Proven experience deploying models in cloud environments (Azure preferred)

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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