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Applied Machine Learning Intern Jobs in Portland, OR

Experience deploying deep learning and machine learning models Experience designing and deploying ... Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration ...

Machine Operator

Vancouver, WA · On-site

$21.80 - $22.70/hr

A $1.00 per hour shift differential is applied to all hours worked between 3:00pm and 6:59am the ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator

Vancouver, WA · On-site

$21.80 - $22.70/hr

A $1.00 per hour shift differential is applied to all hours worked between 3:00pm and 6:59am the ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator

Vancouver, WA · On-site

$21.80 - $22.70/hr

A $1.00 per hour shift differential is applied to all hours worked between 3:00pm and 6:59am the ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator

Vancouver, WA · On-site

$21.80 - $22.70/hr

A $1.00 per hour shift differential is applied to all hours worked between 3:00pm and 6:59am the ... Learning Management System that supports and enhances employee skills at all levels of the ...

7 E Machine Operator

Vancouver, WA · On-site

$24.90 - $25.90/hr

A $1.00 per hour shift differential is applied to all hours worked between 3:00pm and 6:59am the ... Learning Management System that supports and enhances employee skills at all levels of the ...

7 E Machine Operator

Vancouver, WA · On-site

$24.90 - $25.90/hr

A $1.00 per hour shift differential is applied to all hours worked between 3:00pm and 6:59am the ... Learning Management System that supports and enhances employee skills at all levels of the ...

A $1.00 per hour shift differential is applied to all hours worked between 3:00pm and 6:59am the ... Learning Management System that supports and enhances employee skills at all levels of the ...

7 E Machine Operator

Vancouver, WA · On-site

$24.90 - $25.90/hr

A $1.00 per hour shift differential is applied to all hours worked between 3:00pm and 6:59am the ... Learning Management System that supports and enhances employee skills at all levels of the ...

AI Engineer, Sr

Newberg, OR · On-site

$140 - $220/hr

Experience building and deploying applied AI or machine learning solutions in production environments * Hands on experience with at least one machine learning framework such as scikit learn, PyTorch ...

New

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Experience building and deploying applied AI or machine learning solutions in production environments * Hands on experience with at least one machine learning framework such as scikit learn, PyTorch ...

Showing results 21-40

Applied Machine Learning Intern information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do applied machine learning intern jobs pay per year?

As of Aug 20, 2026, the average yearly pay for applied machine learning intern in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What are popular job titles related to Applied Machine Learning Intern jobs in Portland, OR?

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

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

The top searched job categories for Applied Machine Learning Intern jobs in Portland, OR are:

Infographic showing various Applied Machine Learning Intern job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,160 per year, or $21.7 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR • On-site

Full-time

Re-posted 14 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.